Patent Application
20140066937
The accompanying drawings, which are incorporated in and form a part of the specification, illustrate the embodiments of the present invention and together with the written description serve to explain the principles, characteristics, and features of the invention. In the drawings:
The following description of the preferred embodiment(s) is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
Techniques are described for defining a set of instrument sizes (e.g., knee implant sizes) that more accurately and completely fit bone resections made during a surgical procedure (e.g., TKA). In defining the set of instrument sizes, variability in bone resections (e.g., surgeon and instrumentation variation) and manufacturing variation (e.g., manufacturing tolerances) may be taken into account.
In some implementations, a broader range of instrument sizes may be generated by varying the perimeter of the instrument to more closely match a broader population of patients. In cases where the broader range of sizes does not fit well enough, a “custom” implant may be made using the same techniques used to make the discrete sizes in the broader size offering.
In some examples, medical imaging (e.g., magnetic resonance imaging (MRI), computed tomography (CT), X-ray, Ultra-sound, etc.) is used to create a three-dimensional (3D) model of the patient's bone using various Computer Aided Design (CAD) processes. In these examples, using analytical techniques (e.g. statistical shape analysis, 3D coordinate analysis, matrix mathematical analysis, etc.) and summing process, anatomical, and surgical variations (e.g., tolerances or errors from a variety of sources), a 3D volume is modeled to intersect with the patient bone model, and a solution volume is created that sums these tolerances into a composite tolerance solution space. Further, in these examples, a bone surface ribbon is created from the solution volume and a BSpline is overlaid on the bone surface ribbon. The BSpline defines one new 3D solution curve that may be extruded to or from the instrument model template (e.g., additive and/or subtractive processes) to create a new instrument perimeter size. To further refine the solution, similarly shaped perimeters may be grouped together in subsets or clusters of cases from which a final single solution size may be statistically derived.
The system performs outline processing 120 on the samples of three-dimensional bone image data stored in the repository 110. For example, the system accesses a sample of three-dimensional bone image data and determines an outline representation of an outer surface of a periphery of the bone represented in the sample. In this example, the system may use the techniques described below with respect to
After performing outline processing 120 on the samples of three-dimensional bone image data stored in the repository 110, the system stores outline representations of the samples in a database 130 used for a library of implant designs. Once a significant number of outline representations have been stored in the database 130, the system clusters the outline representations into groups having similar characteristics. Although three groups of outline representations are shown in
After clustering the outline representations into multiple groups, the system defines an implant design for each group of outline representations and stores parameters that identify the implant design that corresponds to the group and that enable the implant design to be matched against patient bone data. The parameters may define size and shape characteristics of a range of outline representations that match a size and shape of the implant design. The system may use the techniques described below with respect to
In some examples, the database 130 defines a library of implant designs that provides a match within a threshold degree for a relatively large percentage of the population (e.g., eighty percent). In these examples, the high degree of coverage may be obtained by considering a large number of samples in the data repository 110 and clustering the outline representations into many different groups within the database 130. The system may be controlled to balance the degree of coverage offered by the library of implant designs with the cost of manufacturing standard implants for each of the groups within the database. For instance, the system may define an implant design for a particular group of outline representations only when the number of outline representations within the group reaches a threshold number that justifies definition of a new implant design. Over time, the degree of coverage offered by the library of implant designs may continue to expand as more and more bone data is collected and analyzed. As the library of implant designs expands, the library of implant designs may offer patient specific implant matching solutions to more and more patients.
The system may use the library of implant designs stored in the database 130 to select an implant design for a patient. For example, the system accesses three-dimensional bone data 140 for a patient, determines 150 one or more parameters of the three-dimensional bone data 140, and matches 160 the one or more parameters against the database 130. In this example, the system may determine an outline representation of the three-dimensional bone data 140 and use the outline representation of the three-dimensional bone data 140 to match against the database 130. The system may use the techniques described below with respect to
The one or more parameters of the three-dimensional bone data 140 may include any aspect of the three-dimensional bone data 140 that relates to fit of an implant to the bone. For example, the one or more parameters may include sensitivity to cut location, slope, and likeliness for overhang. In this example, the system matches the sensitivity to cut location, slope, and/or likeliness for overhang against the database 130.
When the system determines that the one or more parameters of the three-dimensional bone data 140 matches an implant design stored in the library, the system outputs a message 170 indicating that a match has been found. In the example shown in
In some implementations, the system defines custom implants using the same techniques described above. In these implementations, the system may pull clusters of modeling features to create the custom implant solution.
In addition to selecting an implant design for the patient, the system also adds 180 the three-dimensional bone data 140 to the data repository 110. Accordingly, the system is able to continue to collect additional sample data, which the system may use to redefine the implant designs included in the library stored in the database 130. As additional data is collected (e.g., when a threshold number of new samples has been collected), the system repeats the clustering and implant design definition operations discussed above. In this regard, the system is able to routinely update the library of implant designs to add new implant designs to cover new groups of patients and/or modify existing designs to better cover a group of patients or cover a larger group of patients. With these updates, the library of implant designs may expand and provide better coverage of the general population.
In some examples, the data store 220 may be a relational database that logically organizes data into a series of database tables. Each database table in the data store 220 may arrange data in a series of columns (where each column represents an attribute of the data stored in the database) and rows (where each row represents attribute values). In some implementations, the data store 220 may be an object-oriented database that logically or physically organizes data into a series of objects. Each object may be associated with a series of attribute values. In some examples, the data store 220 may be a type of database management system that is not necessarily a relational or object-oriented database. For example, a series of XML (Extensible Mark-up Language) files or documents may be used, where each XML file or document includes attributes and attribute values. Data included in the data store 220 may be identified by a unique identifier such that data related to a particular process may be retrieved from the data store 220.
The processor 230 may be a processor suitable for the execution of a computer program such as a general or special purpose microprocessor, and any one or more processors of any kind of digital computer. In some implementations, the system 200 includes more than one processor 230. The processor 230 may receive instructions and data from the memory 250. The memory 250 may store instructions and data corresponding to any or all of the components of the system 200. The memory 250 may include read-only memory, random-access memory, or both.
The I/O devices 240 are configured to provide input to and output from the system 200. For example, the I/O devices 240 may include a mouse, a keyboard, a stylus, or any other device that allows the input of data. The I/O devices 240 may also include a display, a printer (such as a 2-D or 3-D printer), or any other device that outputs data.
The system 200 accesses a three-dimensional model of at least a portion of a bone (310). For example, the system 200 may access a three-dimensional model of an entire bone or a portion of a bone that was generated based on medical measuring of a bone of a patient. In this example, the system 200 may receive the three-dimensional model from another system that generates the three-dimensional model by processing medical measurements taken of the bone or the portion of the bone. The medical measurements may be determined based on medical imaging of the bone or other physical measuring of the bone using medical instrumentation.
In some examples, the system 200 generates the three-dimensional model of an entire bone or a portion of a bone based on medical measuring of the bone of the patient. In these examples, the system 200 may access one or more images of the portion of the bone and generate the three-dimensional model of the portion of the bone based on the one or more images of the portion of the bone. The one or more images of the portion of the bone may be captured using MRI, CT, X-ray, Ultra-sound, or other medical imaging technology. The system 200 may access the one or more images of the portion of the bone from another system or may capture the one or more images of the portion of the bone through control of an imaging device.
In some implementations, the system 200 may access MRI images that depict multiple slices of the portion of the bone. In these implementations, the system 200 may digitally create a mask of the MRI slices and stitch the MRI slices together to create a solid model. Further, in these implementations, the system 200 may remove errors and smooth the data representing the solid model of the portion of the bone. In smoothing the data, the system 200 may select a minimum tool radius to eliminate all smaller internal radii along the surface, including divots and wrinkles. The system 200 may use the smoothed version of the solid model of the portion of the bone as the three-dimensional model of the portion of the bone.
In implementations in which the techniques described throughout this disclosure are used in knee implants (e.g., TKA), the system 200 accesses a three-dimensional model of at least a portion of a femur and/or a tibia. For instance, the system 200 may access a three-dimensional model of an entire femur or tibia, or may access a three-dimensional model of a portion of the femur or tibia located at the knee joint (e.g., the portion of the femur or tibia that receives an implant during TKA). In addition, the techniques described throughout this disclosure may be applied to other types of implant procedures (e.g., hip replacement, shoulder replacement, etc.). For other types of implant procedures, the system 200 may access a three-dimensional model of a portion of the bone that receives the implant, such as a portion of the bone located at a joint associated with the implant procedure.
The system 200 defines a three-dimensional solution volume based on resection cuts used in fitting an implant on the portion of the bone (320). For example, the system 200 identifies a location of a plane of each resection cut needed to place an implant on the portion of the bone and defines a model that represents the locations of the resection cuts relative to one another. In this example, the model that represents the locations of the resection cuts relative to one another may define each plane representing a resection cut as having a width component and a height component.
In some implementations, to identify the location of the plane of each resection cut needed to place the implant on the portion of the bone and define the model that represents the locations of the resection cuts relative to one another, the system 200 determines one or more size measurements of the portion of the bone and selects, from a library of standard implants, a standard implant appropriate for the one or more size measurements of the portion of the bone. In these implementations, the system 200 accesses size and shape measurements for the standard implant selected and uses the accessed size and shape measurements to identify the location of the plane of each resection cut needed to place the implant on the portion of the bone and define the model that represents the locations of the resection cuts relative to one another. For instance, the system 200 defines the model to correspond to surfaces of the standard implant that contact the portion of the bone after the implant has been placed on the portion of the bone.
To create the three-dimensional solution volume, the system 200 may add a thickness around each of the resection cuts to define a three-dimensional model in which each plane representing a resection cut has a width component, a height component, and a thickness component. The shape of the volume represents at least a portion of the set of all possible bone resections. In this regard, the volume may be oblong or trapezoidal. The volume also may be tube-shaped, spherical, or bone-shaped or relatively prismoidal, as in a traditional saw blade resection. The three-dimensional model may define a three-dimensional geometric shape that encompasses an area where resection cuts are made to fit the implant on the portion of the bone. In adding the thickness around each of the resection cuts, the system 200 may add the thickness uniformly on each side of the resection cut or may add the thickness disproportionately on sides of the resection cuts. The system 200 may consider the curvature of the bone and implant restrictions to set the thickness added to each resection cut and a distribution of the selected thickness on sides of each resection cut. In considering the curvature of the bone, the system 200 may use the curvature of the bone as part of the clustering and/or to partly drive the slope of the final implant design.
In some implementations, the system 200 may apply draft angle around the perimeter of the implant to match adjacent bone slope. In these implementations, the system 200 matches the draft angle of an implant perimeter trim sheet in a 3D CAD model to adjacent bone/cartilage slope. Draft angle matching may be applicable to a variety of applications including knee femoral, tibial, and possibly patellar implants, other joints (e.g., hip, ankle, shoulder, elbow, wrist, etc.), spine, plates (e.g., trauma, cranial, etc.), and prosthetic implant devices for the purpose of skeletal reconstruction (e.g., cosmetic facial reconstruction following an injury). A draft angle may be used in such a way to avoid overhanging sharp edge features that could adversely affect adjacent soft tissues. Applying the composite tolerance volume approach described throughout this disclosure may ensure the sharp edge overhang risk is mitigated. Benefits of using a draft angle in this way may include reducing unintended ligament strain by more closely matching the geometry of native bone in the joint or in other areas of the patient's anatomy as in a cranial plate or a cosmetic facial reconstruction implant. In areas where soft tissues wrap around the edge of an implant, more closely matching the native shape of the bone, and minimizing raised implant perimeter height and corner radii (CAD model “blends”), may further reduce risk of irritation, abrasion, or strain in adjacent soft tissue structures.
In some examples, the system 200 may apply the same thickness (e.g., two millimeters) along an entire portion of each resection cut. In these examples, the system 200 may define each resection cut as a rectangular box and arrange the rectangular boxes at appropriate positions adjacent one another to define a three-dimensional box cut as the three-dimensional solution volume.
For example,
Each of the rectangular boxes that define the three-dimensional solution volume 520 has a width component, a height component, and a thickness component. For instance, as shown in
In addition, the system 200 may apply different thicknesses to different resection cuts such that the system 200 defines the three-dimensional box cut with rectangular boxes having different thickness components. Further, the system 200 may apply different thicknesses along a particular resection cut. In this regard, the particular resection cut is represented by a three-dimensional shape other than a rectangular box. The system 200 may determine the thickness to apply along each portion of each resection cut based on the curvature of the bone and implant restrictions. The system 200 also may, additionally or alternatively, determine the thickness to apply along each portion of each resection cut based on tolerances related to a procedure for fitting the implant on the portion of the bone, as discussed in more detail below.
In implementations in which the techniques described throughout this disclosure are used in knee implants (e.g., TKA), the system 200 may define a model that includes a plane for each of an anterior cut, a distal chamfer cut, a distal cut, a posterior chamfer cut, and a posterior cut needed to fit an implant on a distal end of a femur. For each of the anterior cut, the distal chamfer cut, the distal cut, the posterior chamfer cut, and the posterior cut, the system 200 may add a thickness component proportionately on each side to define a rectangular box cut that includes a rectangular box for each of the anterior cut, the distal chamfer cut, the distal cut, the posterior chamfer cut, and the posterior cut.
In some implementations, the system 200 may use additional cuts as the implant system requires. For instance, another knee system may require several anterior chamfer planes. The system 200 also may consider additional patient specific matching in the cruciate gap of the femur, and the anatomical features on the tibia and patella for a TKA.
In addition, the system 200 may consider corresponding anatomical features in other joints, spine, or other skeletal structures. The system 200 may apply the techniques described throughout this disclosure to other extremities and surgical systems, such as IM nails, trauma plates/screws, cranial plates, cosmetic surgical prostheses, etc. The system 200 may apply the techniques described throughout this disclosure to any surgical procedure where the system 200 can identify the geometry of an anatomical structure and apply it to a medical product design to give a patient specific solution.
Further, the “cuts” referred to in this disclosure may actually be planes defined by the implant. For example, a surgeon may cut the bone large (resulting in smaller bone cut shape) and then impact a nominally sized implant onto the bone—compacting the surface down. In this example, the implant periphery might be made to fit the press-fit resection. However, the implant interfaces with all of the crushed bone and might ideally be made to match the bone shape at its final impacted location. Thus, the “cuts” referred to in this disclosure represent the planes of the implant, rather than the actual cuts made during the surgical procedure.
In some examples, the system 200 defines a three-dimensional tolerance volume based on one or more tolerances for one or more variations related to an implant procedure for placing the implant on the portion of the bone. In these examples, the system 200 may select the thickness to add to each resection cut based on the one or more tolerances for the one or more variations related to an implant procedure for placing the implant on the portion of the bone. The system 200 may select the thickness to cover a range of variations that may occur during an implant procedure due to surgeon error, manufacturing tolerances in manufacturing the implant, variations in medical instrumentation, and variations in modeling the portion of the bone in determining a placement of the implant.
In addition, bone curvature may represent bone variation and may influence a particular tolerance. For example, tolerance on the side of the bone where it is relatively steep would be more sensitive than a tolerance applied to a relatively flat bony feature.
The system 200 identifies one or more tolerances for one or more variations related to an implant procedure for placing the implant on the portion of the bone (410). For example, the system 200 may identify tolerances for any combination of variations, such as surgical variations and manufacturing variations, which control how accurately an implant procedure can be performed. In this example, the system 200 may determine a first tolerance related to variations in surgical technique in performing the implant procedure (e.g., tolerances in an ability of a surgeon to make perfect incisions and cuts), a second tolerance related to variations in medical instrumentation used in performing the implant procedure (e.g., tolerances in instrument manufacturing and wear), a third tolerance related to variations in manufacturing the implant used in the implant procedure (e.g., manufacturing tolerances in how well an implant is made), a fourth tolerance related to variations in anatomy of similar bones across patients, a fifth tolerance related to variations in medical imaging used in generating the three-dimensional model of the portion of the bone (e.g., variation due to limitations on resolution of an imaging device), and a sixth tolerance related to variations in file conversion used in generating the three-dimensional model of the portion of the bone (e.g., variations that may be introduced when an original image file is converted into another format). The system 200 may use any combination of one or more of the first tolerance, the second tolerance, the third tolerance, the fourth tolerance, the fifth tolerance, and the sixth tolerance in defining the three-dimensional tolerance volume. Also, the fifth tolerance related to variations in medical imaging may include two components of medical imaging variation: (1) database source data (e.g., imaging used to design the implant) and (2) new patient data (e.g., imaging of the patient receiving the patient specific implant).
In some implementations, the system 200 may determine the tolerances of variations based on general historical data related to implant procedures tracked over time. In these implementations, the system 200 may generally account for manufacturing tolerances, surgeon error, imaging tolerances, and file conversion tolerances without analyzing the specific implant device or instrument used in the implant procedure, the surgeon performing the implant procedure, the imaging technology used to image the bone, or the specific file conversions needed in modeling the bone. Accordingly, in these implementations, the system 200 may account for tolerances related to variations associated with an implant procedure by applying the same adjustments to each patient being evaluated. In addition, the system 200 may determine the selection of how these objectives or rules are implemented based on ethnicity and other demographic or lifestyle metrics.
In other implementations, the system 200 may account for tolerances related to variations associated with an implant procedure by tailoring adjustments to a specific implant procedure being evaluated. In these implementations, the system 200 may consider a tolerance of a specific surgeon performing the implant procedure, a tolerance that accounts for manufacturing variation and wear of the medical instruments to be used in the implant procedure, and a tolerance that accounts for variation in the medical imaging and image processing operations performed in planning the implant procedure. By accounting for the tolerances specific to the implant procedure, the system 200 may provide a more accurate adjustment for the potential variations associated with the implant procedure. The system 200 may determine the specific tolerances by receiving user input describing the tolerances or by receiving user input describing characteristics of the implant procedure (e.g., surgeon name, equipment being used, imaging device being used, file conversion being performed in planning, instrument and implant materials, material wear rates, manufacturing processes, inspection processes, etc.) and using the inputted characteristics of the implant procedure to determine the tolerances specific to the implant procedure.
The system 200 determines one or more measurements that account for the one or more tolerances identified (420). The system 200 may take a view of a total continuum of tolerances related to the implant procedure and account for all of them in determining one or more measurements to use in generating the three-dimensional tolerance volume. In doing so, the system 200 may weigh the different tolerance values based on a degree of accuracy known for each tolerance value and a degree of possible variation known for each tolerance value. In addition, the system 200 may consider a single tolerance value (or a subset of tolerance values) in determining one or more measurements to use in generating the three-dimensional tolerance volume. The single tolerance value (or the subset of tolerance values) may be selected based on a degree of variation associated with the tolerance value. For instance, tolerance related to surgeon error may be selected because a relatively high degree of variation may result from surgeon error, as compared to other tolerances related to the implant procedure.
The system 200 may determine one or more measurements that account for the one or more tolerances identified by determining a thickness to add to each resection cut in defining the tolerance volume. In determining a thickness to add to each resection cut in defining the tolerance volume, the system 200 may determine a thickness that accounts for the tolerance of each potential variation considered. For example, the system 200 may determine a thickness of 0.2 mm to account for medical imaging based on an MRI imaging device having a tolerance of one pixel with a pixel size of 0.2 mm. In another example, the system 200 may determine a thickness of 1.0 mm (e.g., +/−1.0 mm) to account for surgeon error based on a review of post-surgical data and/or surgeon comments indicating that surgeons are, on average, accurate to within 1.0 mm for resection cuts. After determining a thickness that accounts for the tolerance of each potential variation considered, the system 200 may sum all of the thicknesses to account for the worst case scenario in defining the tolerance volume. Alternatively, the system 200 may combine the thicknesses in a manner that accounts for the probability of each variation occurring and to what degree. For instance, the system 200 may calculate a root mean square of the thicknesses and use the result as the thickness added to the resection cuts in the tolerance volume. The system 200 also may consider a distribution of errors related to the implant procedure and determine a measurement that accounts for a particular variation based on Monte Carlo analysis of sample errors for the particular variation collected over time.
The system 200 determines locations of resection cuts used in fitting the implant on the portion of the bone (430). For example, the system 200 determines a location of a plane of each resection cut needed to place the implant on the portion of the bone. In this example, the system 200 may determine the location of the resection cuts based on a shape of the portion of the bone and/or a shape of typical resection cuts needed to fit an implant on the portion of the bone. The system 200 may use size and shape measurements of a standard implant to determine locations of resection cuts, as discussed above with respect to reference numeral 320.
The system 200 defines the three-dimensional tolerance volume based on the locations of the resection cuts and the one or more measurements that account for the one or more tolerances identified (440). For example, the system 200 may define a model of the resection cuts based on the locations of the resection cuts. In this example, the system 200 then may use the one or more measurements to add a thickness around each of the resection cuts in the model of the resection cuts to define a three-dimensional model of the resection cuts in which each resection cut has a width component, a height component, and a thickness component. In this regard, the three-dimensional model may define a three-dimensional geometric shape that encompasses an area where resection cuts may occur in consideration of the tolerances of the variations related to the implant procedure. In adding the thickness around each of the resection cuts, the system 200 may add the thickness uniformly on each side of the resection cut (e.g., assume a perfect cut and expand the three-dimensional tolerance volume equal distances on each side of the perfect cut). In addition, the system 200 may add the thickness disproportionately on sides of the resection cuts. The system 200 may consider the curvature of the bone and implant restrictions in addition to the tolerances to set the thickness added to each resection cut and a distribution of the selected thickness on sides of each resection cut.
In some examples, in accounting for tolerances, the system 200 may apply the same thickness (e.g., two millimeters) along an entire portion of each resection cut. In these examples, the system 200 may define each resection cut as a rectangular box and arrange the rectangular boxes at appropriate positions adjacent one another to define a three-dimensional box cut as the three-dimensional model of the resection cuts.
In addition, the system 200 may apply different thicknesses to different resection cuts such that the system 200 defines the three-dimensional box cut with rectangular boxes having different thickness components. For example, the tolerance related to surgeon error may be lower for a first of the resection cuts as compared to a second of the resection cuts. In this example, the system 200 may use a first thickness for the first of the resection cuts that is smaller than a second thickness used for the second of the resection cuts.
Further, the system 200 may apply different thicknesses along a particular resection cut. In this regard, the particular resection cut is represented by a three-dimensional shape other than a rectangular box. The system 200 may use different thicknesses along a particular resection cut if the tolerance for variations differs along the resection cut. For instance, the tolerance for surgeon error may gradually increase from a start of the particular resection cut to an end of the particular resection cut. In this instance, the system 200 may gradually increase a thickness used along the particular resection cut in defining the three-dimensional tolerance volume such that the portion of the three-dimensional tolerance volume corresponding to the particular resection cut has a cone shape.
The system 200 may determine the thickness to apply along each portion of each resection cut based on the curvature of the bone, implant restrictions, and the one or more measurements that account for the one or more tolerances identified. In this regard, the system 200 may adjust the one or more measurements that account for the one or more tolerances identified because the one or more measurements would result in issues with the curvature of the bone and/or violate restrictions on how the implant needs to be fit to the bone.
Referring again to
In aligning the three-dimensional solution volume, the system 200 may align the three-dimensional solution volume on a portion of the three-dimensional model of the portion of the bone using techniques designed to optimize placement of an articular surface of the implant when placed on the portion of the bone. Any type of technique for aligning the three-dimensional solution volume in a manner that optimizes placement of an articular surface of the implant may be used. For example, the system 200 may consider six degrees of freedom (e.g., three location distances and three rotations) in aligning the three-dimensional solution volume and may consider various aspects of the anatomy of the patient in selecting the alignment. In this example, the system 200 may consider a size and shape of the portion of the bone, a biomechanical axis relevant to the implant procedure, and appropriate motions (or ranges of motion) for a joint associated with the portion of the bone. In considering the size and shape of the portion of the bone, the system 200 may consider the size and shape of the piece of bone being analyzed within the solution volume and/or the size and shape categorically. For instance, the system 200 may consider the resultant shape of sub-sampling a bone and/or may consider pristine bone shapes or geometric primitive.
In implementations in which the techniques described throughout this disclosure are used in knee implants (e.g., TKA), the system 200 may consider the varus-valgus angles, the flexion-extension angles, the rotation positions, and any other parameters relevant to placement of an implant on the portion of the bone that results in optimized use of the knee after the implant procedure. In implementations in which the techniques described throughout this disclosure are used in other types of implants (e.g., spherically shaped hip joint bones, flat shoulder components, or saddle-shaped ankle joints), the system 200 may consider characteristics relevant to placing the other types of implants.
As shown in
After aligning the three-dimensional solution volume on the three-dimensional model of the portion of the bone, the system 200 may extract the portion of the three-dimensional model of the portion of the bone that intersects with the three-dimensional solution volume. For instance, the system 200 may remove portions of the three-dimensional model of the portion of the bone that are outside of the three-dimensional solution volume, thereby leaving the portion of the three-dimensional model of the portion of the bone that intersects with the three-dimensional solution volume. The system 200 may use the portion of the three-dimensional model of the portion of the bone that intersects with the three-dimensional solution volume as the resultant bone volume, which is represented in three dimensions.
Referring again to
Based on a determination that an implant fitted to portions of the resultant bone volume would violate one or more of the accessed rules, the system 200 determines whether the portions of the resultant bone volume can be adjusted in a manner that complies with the accessed rules. Based on a determination that the portions of the resultant bone volume can be adjusted in a manner that complies with the accessed rules, the system 200 adjusts the resultant bone volume (e.g., reshapes or removes portions of the resultant bone volume) in a manner that complies with the accessed rules. Based on a determination that the portions of the resultant bone volume cannot be adjusted in a manner that complies with the accessed rules, the system 200 provides an alert that indicates that the resultant bone volume violates one or more of the accessed rules and cannot be adjusted to comply with the accessed rules.
In some implementations, the rules related to placing the implant on the portion of the bone define an amount of contact needed to secure the implant to the bone in accordance with preferred medical practices. In these implementations, the system 200 may access a minimum contact rule that specifies a minimum contact area needed to stably secure the implant on the portion of the bone. The system 200 compares the minimum contact area defined by the minimum contact rule with the resultant bone volume and, based on the comparison, determines whether all portions of the resultant bone volume meet the minimum contact area. Based on a determination that all portions of the resultant bone volume meet the minimum contact area, the system 200 maintains the resultant bone volume without adjustment. However, based on a determination that portions of the resultant bone volume do not meet the minimum contact area, the system 200 adjusts the resultant bone volume by removing or reshaping the portions of the resultant bone volume that do not meet the minimum contact area.
In addition, the rules related to placing the implant on the portion of the bone may define an acceptable position of an articular surface of the implant in accordance with preferred medical practices. For example, the system 200 may access a rule that specifies a position and/or shape of an articular surface of the implant that is needed for an acceptable surgical result. In this example, the system 200 compares the position and/or shape of the articular surface of the implant defined by the rule with the resultant bone volume and, based on the comparison, determines whether all portions of the resultant bone volume allow the implant to meet the position and/or shape of the articular surface of the implant defined by the rule. Based on a determination that all portions of the resultant bone volume meet the position and/or shape of the articular surface of the implant defined by the rule, the system 200 maintains the resultant bone volume without adjustment. However, based on a determination that portions of the resultant bone volume do not meet the position and/or shape of the articular surface of the implant defined by the rule, the system 200 adjusts the resultant bone volume by removing or reshaping the portions of the resultant bone volume that do not meet the position and/or shape of the articular surface of the implant defined by the rule. Adjusting the resultant bone volume to achieve an acceptable position and/or shape of an articular surface of the implant may be important because, although a better fit to the bone may be achieved, the bone may have problems that are being corrected through the implant procedure and the benefits of having an improved articular surface may outweigh the benefits of having a better fit to the bone.
In implementations in which the techniques described throughout this disclosure are used in knee implants (e.g., TKA), the system 200 may access a rule that specifies a position and/or shape of a cruciate gap of the implant that is needed for an acceptable surgical result. In this example, the system 200 compares the position and/or shape of the cruciate gap of the implant defined by the rule with the resultant bone volume and, based on the comparison, determines whether all portions of the resultant bone volume allow the implant to meet the position and/or shape of the cruciate gap of the implant defined by the rule. Based on a determination that all portions of the resultant bone volume meet the position and/or shape of the cruciate gap of the implant defined by the rule, the system 200 maintains the resultant bone volume without adjustment. However, based on a determination that portions of the resultant bone volume do not meet the position and/or shape of the cruciate gap of the implant defined by the rule, the system 200 adjusts the resultant bone volume by removing or reshaping the portions of the resultant bone volume that do not meet the position and/or shape of the cruciate gap of the implant defined by the rule. Adjusting the resultant bone volume to preserve the condylar width of the implant may be important to maintain acceptable articulation with respect to the patellar component and to allow for enhanced ease of the implant procedure by the surgeon. Adjusting the resultant bone volume to preserve the cruciate gap of the implant also may be useful.
In some examples, the rules related to placing the implant on the portion of the bone may define limitations on a risk of overhang allowed for the implant. For instance, the system 200 may access a rule that specifies how close the implant may be to an edge of the bone. The rule may have varying distances for different portions of the bone based on the significance of a risk of overhang at the particular portion of the bone (e.g., the rule may define more conservative distances in locations near tissue where the risk of overhang is greater). The system 200 compares the distances defined by the rule with the resultant bone volume and, based on the comparison, determines whether all portions of the resultant bone volume allow the implant to meet the distances defined by the rule. Based on a determination that all portions of the resultant bone volume meet the distances defined by the rule, the system 200 maintains the resultant bone volume without adjustment. However, based on a determination that portions of the resultant bone volume do not meet the distances defined by the rule, the system 200 adjusts the resultant bone volume by removing or reshaping the portions of the resultant bone volume that do not meet the distances defined by the rule. Adjusting the resultant bone volume to limit the risk of overhang may be important because overhang may result in patient discomfort after the implant procedure and may outweigh the benefits of having a better fit to the bone.
In some implementations, the rules related to placing the implant on the portion of the bone may define limitations on a thickness of the implant. For example, the system 200 may access a rule that specifies a minimum thickness of the implant. In this example, the system 200 compares the thicknesses of an implant matched to the resultant bone volume to the minimum thickness and, based on the comparison, determines whether all portions of the resultant bone volume allow the implant to meet the minimum thickness defined by the rule. Based on a determination that all portions of the resultant bone volume meet the minimum thickness defined by the rule, the system 200 maintains the resultant bone volume without adjustment. However, based on a determination that portions of the resultant bone volume do not meet the minimum thickness defined by the rule, the system 200 adjusts the resultant bone volume by removing or reshaping the portions of the resultant bone volume that do not meet the minimum thickness defined by the rule. The system 200 also may change the position of the final implant on the bone so that a different portion of the bone is sampled (e.g., resampling). Adjusting the resultant bone volume to meet the minimum thickness may be important because the negatives of having a thin portion of the implant (e.g., a potentially sharp edge, decreased strength, etc.) may outweigh the benefits of having a better fit to the bone.
Further, the rules related to placing the implant on the portion of the bone may define limitations on a shape of an edge of the implant. For example, the system 200 may access a rule that specifies an acceptable contour of the implant. In this example, the system 200 compares the contour of an implant matched to the resultant bone volume to the acceptable contour and, based on the comparison, determines whether all portions of the resultant bone volume allow the implant to meet the acceptable contour defined by the rule. Based on a determination that all portions of the resultant bone volume meet the acceptable contour defined by the rule, the system 200 maintains the resultant bone volume without adjustment. However, based on a determination that portions of the resultant bone volume do not meet the acceptable contour defined by the rule, the system 200 adjusts the resultant bone volume by removing or reshaping the portions of the resultant bone volume that do not meet the acceptable contour defined by the rule. Adjusting the resultant bone volume to meet the acceptable contour may be important because the negatives of having a sharp part of the implant may outweigh the benefits of having a better fit to the bone.
The system 200 defines an acceptable zone based on a periphery of the implant (710). For instance, the system 200 uses the implant periphery to define a minimum acceptable zone, which may be smaller or larger than existing implants. The minimum acceptable zone may define a contact area of the implant needed to achieve an acceptable surgical result that conforms with preferred medical practices. The system 200 may define the minimum acceptable zone as a contact area volume that may be matched to the resultant bone volume. The contact area volume may define an area that accommodates a minimum size of articular surfaces of the implant.
The system 200 intersects the resultant bone volume with the acceptable zone to produce an acceptable bone volume (720). For instance, the system 200 may compare the resultant bone volume to the acceptable zone and, based on the comparison, align the acceptable zone on the resultant bone volume. The system 200 may align the acceptable zone on the resultant bone volume by matching one or more surfaces of the acceptable zone with one or more surfaces of the resultant bone volume.
Referring again to
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In some implementations, the system 200 fits a curve to the bone surface ribbon to define the outline representation. In these implementations, the system 200 may use statistics or other appropriate techniques to select a shape for an implant to fit the bone surface ribbon and may fit a curve to the selected shape. For instance, the system 200 may create a curve that follows a sheet or tolerance volume represented by the bone surface ribbon. The system 200 may define the curve in three dimensions.
In some examples, the system 200 may fit a curve to the bone surface ribbon without limiting the curve to the surface of the ribbon. In these examples, the system 200 may allow the curve to extend inside or outside the bone surface ribbon within a tolerance value (e.g., two millimeters) and derive a curve that best matches the bone surface ribbon within the tolerance value. The system 200 may define the tolerance to a side of the bone surface ribbon that limits a potential for overhang of an implant created using the derived curve.
To fit a curve to the bone surface ribbon, the system 200 may overlay a BSpline (or other type of spline) on the bone surface ribbon. For instance, the system 200 may analyze the bone surface ribbon and, based on the analysis, identify locations on the bone surface ribbon appropriate for nodes of a spline. The system 200 then may create the spline by defining curves that model the bone surface ribbon between the identified nodes.
In some implementations, the system 200 determines the outline representation for only a portion of the outer surface of the periphery of the resultant bone volume. In these implementations, the system 200 may create a partial bone surface ribbon for the portion of the outer surface of the periphery of the resultant bone volume and may fit a curve to the partial bone surface ribbon. The system 200 also may create a complete bone surface ribbon for the entire outer surface of the periphery of the resultant bone volume and fit a curve to only a portion of the complete bone surface ribbon. The system 200 further may create a complete bone surface ribbon for the entire outer surface of the periphery of the resultant bone volume, fit a curve to an entirety of the complete bone surface ribbon, and then select a portion of the curve that corresponds to the portion of the outer surface of the periphery of the resultant bone volume.
The system 200 may select the portion of the outer surface of the periphery of the resultant bone volume based on user input that defines a portion of the resultant bone volume of interest to a user. For example, the system 200 may receive user input that defines a part of the outer surface of the periphery of the resultant bone volume of interest. In this example, the part may correspond to a part of the outer surface of the periphery where variation occurs and the benefits of fitting an implant at the part of the outer surface of the periphery outweigh the risks of doing so, such as risking overhang by attempting a close fit or disrupting an articulating surface of the implant. In this regard, the system 200 may select non-articulating surfaces or edges of the resultant bone volume and/or portions of the resultant bone volume where a risk of tissue damage due to overhang is lower.
In implementations in which the techniques described throughout this disclosure are used in knee implants (e.g., TKA), the system 200 may select a portion of the outer surface of the periphery of a femur that corresponds to the anterior flange. The portion of the outer surface of the periphery of the femur that corresponds to the anterior flange may be of interest because significant variation of the anterior flange exists among different patients and the downside of fitting an implant to the anterior flange is limited since the portion of the implant fitted to the anterior flange is not an articulating surface.
Referring again to
In some examples, the outline representation may represent an entire outer surface of a periphery of a resultant bone volume. In these examples, the system 200 generates a design of a custom implant in which an entire periphery of the custom implant corresponds to the outline representation. In other examples, the outline representation may represent a portion of an outer surface of a periphery of a resultant bone volume. In these examples, the system 200 generates a design of a custom implant in which a portion of the periphery of the custom implant corresponds to the outline representation and the remaining portion of the periphery of the custom implant corresponds to a standard implant design.
In some implementations, the system 200 offsets the outline representation in designing an implant. In these implementations, the system 200 may slightly reduce how far the outer surface of the outline representation extends (e.g., slightly shrinks the outline representation) and may use the reduced version of the outline representation as a basis for designing the implant. The system 200 may define the amount of reduction in accordance with implant manufacturing tolerances to reduce the risk of manufacturing variations causing the implant to overhang at one or more portions of the bone. For example, the system 200 may offset a bone surface ribbon (or a curve fitted to a bone surface ribbon) by two millimeters prior to using the bone surface ribbon (or the curve fitted to the bone surface ribbon) to generate an implant design. Offsetting the bone surface ribbon may be necessary to account for differences between the source data and the actual size of patient bones versus the CAD models. In offsetting the bone surface ribbon, the system 200 may offset the implant model perimeter approximately 3.5 mm inside the bone model perimeter.
The system 200 stores the outline representation in a database with sample outline representations determined for other bone portions that correspond to the portion of the bone (1610). For instance, the system 200 maintains a database of sample outline representations for a particular bone, or subgroup or cluster of bones (e.g., a femur or a distal end of a femur) and adds the determined outline representation to the database. The sample outline representations may include outline representations determined for many different patients, including outline representations determined for bones of cadavers analyzed during a cadaver study. The sample outline representations may be complete outline representations for the particular bone or partial outline representations for the particular bone (e.g., an anterior flange profile of a distal end of femur). The system 200 also may store, in the database, other patient information related to the patient (e.g., age, gender, ethnicity, weight, height, etc.) and/or information related to the particular bone (e.g., size measurements of the particular bone). The system 200 may use the other patient information to assist in grouping the sample outline representations and matching a new patient to a grouping of the sample outline representations.
The system 200 analyzes characteristics of the outline representations stored in the database (1620). For example, the system 200 determines size and/or shape characteristics of the sample outline representations stored in the database and compares the determined size and/or shape characteristics of the sample outline representations to one another. In this example, the system 200 determines a level of similarity between sample outline representations based on the comparison.
In some implementations, the system 200 uses size and/or shape characteristics of entire sample outline representations in performing the analysis. In other implementations, the system 200 uses size and/or shape characteristics of portions of sample outline representations in performing the analysis. For instance, the system 200 may select a subset of positions along the sample outline representations and use size and/or shape characteristics of each of the subset of positions in the analysis. In implementations in which the techniques described throughout this disclosure are used in knee implants (e.g., TKA), the system 200 may select several points along a representation of an anterior flange, determine location information of each of the several points, and use the location information in the analysis.
Based on the analysis, the system 200 clusters the outline representations stored in the database into multiple groups that each includes outline representations having similar characteristics (1630). For instance, the system 200 uses a clustering process to group the sample outline representations into multiple, different groups of sample outline representations that have similar size and/or shape characteristics. The system 200 may perform the clustering based on the comparison of size and/or shape characteristics of the sample outline representations. The system 200 may perform clustering by assigning a set of sample outline representations into groups (called clusters), so that the sample outline representations in the same cluster are more similar (in some sense or another) to each other than to those in other clusters.
Any type of one or more clustering processes may be used to arrange the sample outline representations into groups having similar size and/or shape characteristics. For instance, the system 200 may use a machine learning process to group sample outline representations with similar characteristics together. Example clustering processes the system 200 may use include one or more of connectivity-based clustering processes (e.g., hierarchical clustering processes), such as single-linkage clustering, complete linkage clustering, and average linkage clustering, centroid-based clustering processes, such as k-means clustering, k-medians clustering, and Fuzzy c-means clustering, distribution-based clustering processes, such as expectation-maximization (EM) clustering and mixture of Gaussians clustering, and density-based clustering processes, such as density-based spatial clustering of applications with noise (DBSCAN) and ordering points to identify the clustering structure (OPTICS).
The system 200 defines an implant design for each of the multiple groups (1640). For example, after the sample outline representations have been clustered into multiple groups with similar characteristics, the system 200 determines an implant design for a particular group using the sample outline representations included in the particular group. In this example, the system 200 may analyze characteristics of the sample outline representations included in the particular group and determine a best fit outline representation for the sample outline representations included in the particular group. The system 200 then may use the best fit outline representation to define an implant design for the particular group using the techniques described above with respect to defining a custom implant using an outline representation. After defining the implant design for the particular group, the system 200 continues processing other groups of outline representations until an implant design has been defined for each of the groups.
In some implementations, to define an implant design for a group of outline representations, the system 200 may compute an average outline representation by averaging the outline representations included in the group. In these implementations, the system 200 may use the average outline representation to define an implant design for the particular group using the techniques described above with respect to defining a custom implant using an outline representation.
In addition, to define an implant design for a group of outline representations, the system 200 may use minimum and maximum criteria of the outline representations included in the group. For instance, the system 200 may define a combined outline representation based on minimum and maximum points of each of the outline representations included in the group such that all of the outline representations included in the group fit within the combined outline representation.
In some examples, the rules applied to generate a particular implant design include user needs constraints specifying where around the implant boundary or perimeter that implant overhang beyond bone cut perimeters and bone underhang beyond the implant boundary or perimeter by boundary zone are specified. These boundary constraints address risks including soft tissue risk, load transmission from implant to cortical (more dense outer bone), minimizing blood loss, and other known risks. Design team surgeons may evaluate and validate the designs and the system 200 may adapt the designs based on user input specifying recommendations of the design team surgeons.
After defining an implant design for each of the multiple groups, the system 200 may evaluate the defined implant designs for each group. For example, after the system 200 has defined an implant design for a particular group, the system 200 may compare the implant design to each of the outline representations included in the particular group and, based on the comparison, determine how closely the implant design matches each of the outline representations included in the particular group. Based on the determinations of how closely the implant design matches each of the outline representations included in the particular group, the system 200 may determine whether the implant design matches each of the outline representations included in the particular group within a threshold degree. Based on a determination that the implant design matches each of the outline representations included in the particular group within the threshold degree, the system 200 determines that the implant design is sufficient for the particular group and assigns the implant design to the particular group.
However, based on a determination that the implant design does not match one or more of the outline representations included in the particular group within the threshold degree, the system 200 may reject the implant design and provide an alert indicating the implant design is insufficient for the particular group. After rejecting the implant design, the system 200 may attempt to use another technique to generate a new implant design based on the outline representations included in the particular group. The system 200 may evaluate the new implant design to determine whether the new design matches each of the outline representations included in the particular group within the threshold degree. The system 200 may continue to attempt new implant designs for the particular group until the system 200 determines that an implant design matches each of the outline representations included in the particular group within the threshold degree or that all techniques for generating an implant design based on the outline representations included in the particular group have been attempted without success.
In some examples, after rejecting the implant design or after determining that all techniques for generating an implant design based on the outline representations included in the particular group have been attempted without success, the system 200 determines to perform additional clustering on the outline representations included in the particular group to divide the particular group into smaller groups of outline representations. In these examples, the system 200 repeats the clustering operations described above with parameters that result in a closer degree of similarity between the outline representations in the groups. After reclustering, the system 200 repeats the operations described above with respect to generating an implant design for each group and evaluating implant designs until an acceptable implant design has been defined for each group.
In some implementations, after rejecting the implant design or after determining that all techniques for generating an implant design based on the outline representations included in the particular group have been attempted without success, the system 200 may remove problematic outline representations from the particular group such that the implant design matches each of the remaining outline representations included in the particular group within the threshold degree. In these implementations, the system 200 may attempt to cluster removed outline representations into other groups (e.g., new groups) or may determine to leave the removed outline representations without a corresponding implant design in the library. For example, the system 200 may determine to stop clustering and defining new implant designs when the library of available implant designs covers a threshold percentage (e.g., eighty percent) of sample outline representations within a threshold degree. In this example, the system 200 may determine that a custom implant is needed for patients having similar outline representations to the removed outline representations that do not have a corresponding implant design in the library.
In some examples, the system 200 may receive new sample outline representations from new patients and/or may receive feedback on fits of implants selected from the library of implants. In these examples, the system 200 may use the new sample outline representations from new patients and/or the feedback on fits of implants selected from the library of implants to update the clustering of sample outline representations in the database and define (or redefine) implant designs to expand the coverage of the library of implant designs.
The system 200, for each implant design, stores the implant design in association with one or more parameters that enable matching of the implant design with patient bone data (1650). For instance, the system 200 may store, in association with data identifying the implant design, a best fit outline representation or an average outline representation for the outline representations included in the group corresponding to the implant design. The system 200 also may store, in association with data identifying the implant design, a range of outline representation data that covers outline representations that fit within the group corresponding to the implant design. The system 200 further may store, in association with data identifying the implant design, bone size measurements and other patient data (e.g., age, gender, ethnicity, weight, height, etc.) that may be useful in determining whether or not a patient matches the implant design. The system 200 may store any type of data that enables matching of patient bone data to an implant in the library of implants.
Although the process 1600 described above with respect to
From the “Low-Resolution” outline representation (e.g., BSpline), the system 200 creates an implant design. For instance, the system 200 creates a new boundary or perimeter trim sheet that cuts away or adds to the existing femoral implant model to make a new patient or cluster specific femoral implant that satisfies the rules for the particular cluster. Each cluster then has: (1) a High Resolution outline representation (e.g., BSpline), (2) Low Resolution outline representation (e.g., BSpline), and (3) Femoral Implant Model. The outline representation (e.g., BSpline) may be defined using a UniGraphics (UG) Expression List that can be generated using programming code, such as a MatLab or Visual Basic program implemented on a computer system. The UG Expression List generation may be done using an automated process as described above.
In some examples of clustering the bones, the system 200 may cluster by bone (e.g., lining up similarly shaped bones) or the system 200 may cluster the features themselves relative to some global reference frame. For example, the system 200 may line up all of the bones according to existing surgical protocols and extract the radius of the posterior condyles from a set of multiple clusters (e.g., fifty clusters). The system 200 may use more resolution on the anterior flange since the anterior flange has a higher degree of variation in the population. Accordingly, the system 200 may use more clusters for the anterior flange feature (e.g., four hundred clusters of that feature). In feature-based clustering, the features used may correspond to a feature found in the CAD model to model the implant (or instrument) or a feature in the manufacturing process (e.g., second operation grinding operation).
Along those same lines, the system 200 may include a minimum included tool radius to prevent the solution spline from having wrinkles or divots that are not manufacturable. This may be one of the driving factors behind why the depicted curve does not following the “ribbon” exactly.
The system 200 determines one or more parameters of the outline representation (1710). For instance, the system 200 may determine size and/or shape characteristics of the outline representation. The system 200 also may determine position data for portions of the outline representation that enables matching to implants in the library. The system 200 may determine any type of parameters that enable matching of the outline representation to an implant in the library of implants, including the parameters stored in association with implant designs in the process 1600. The system 200 may use the outline representation itself as the one or more parameters of the outline representation.
The system 200 compares the one or more parameters of the outline representation to parameters associated with available implant designs (1720) and, based on comparison results, determines whether the one or more parameters of the outline representation match an available implant design within a threshold degree (1730). For instance, the system 200 may access parameters stored in association with implant designs in the library of implant designs and compare the one or more parameters of the outline representation to the accessed parameters. Based on the comparison of the one or more parameters of the outline representation to the accessed parameters, the system 200 determines whether the one or more parameters of the outline representation match the accessed parameters within a threshold degree.
In some examples, the system 200 may compare a shape of the outline representation to shapes of outer perimeters of implant designs stored in the library of implant designs. In these examples, based on the comparison of the shape of the outline representation to shapes of outer perimeters of implant designs stored in the library of implant designs, the system 200 determines whether the shape of the outline representation exactly matches a shape of an outer perimeter of an implant design stored in the library or matches a shape of an outer perimeter of an implant design stored in the library within a threshold tolerance zone (e.g., matches the outer perimeter within two millimeters at all locations).
In some implementations, the system 200 may determine size measurements of the portion of the bone and first compare the determined size measurements to sizes of implant designs stored in the library. In these implementations, the system 200 may, based on the comparison, select a subset of implant designs within the library that are acceptable for the determined size measurements. Although each of the subset of implant designs is acceptable for the size of the portion of the bone, each of the subset of implant designs has a different shape for an outer perimeter of the implant design. Accordingly, after selecting the subset, the system 200 performs a second comparison to select the implant design that best matches a shape of the portion of the bone. In this regard, the system 200 compares the one or more parameters of the outline representation to parameters associated with each of the subset of implant designs to assess whether a shape of the outline representation matches a shape of any of the subset of implant designs.
Based on a determination that the one or more parameters of the outline representation match the available implant design within the threshold degree, the system 200 outputs the available implant design as matching the outline representation (1740). For instance, the system 200 may display the matching implant design to a surgeon (or other medical care provider) for use in an implant procedure. If the system 200 determines that multiple implant designs match the outline representation within the threshold degree, the system 200 may display each of the multiple implant designs to enable a surgeon to select the preferred implant design for the implant procedure.
Based on a determination that the one or more parameters of the outline representation do not match an available implant design within the threshold degree, the system 200 determines that a custom implant is needed and outputs a message that indicates a custom implant is needed (1750). For instance, the system 200 may display a message indicating that no match was found in the library of implants. The system 200 also may initiate a process to define a custom implant for the portion of the bone based on the determination that the one or more parameters of the outline representation do not match an available implant design within the threshold degree.
The bone facing side of the ML positioner has a standard box cut shape and size. A typical box cut shape and size is shown in
Referring once again to
Referring to
Once the femoral implant lug holes are drilled, reamed, and/or punched through the use of the ML Positioner and into the distal face of the resected femur, the ML positioner is removed and the femoral articular trial is placed on the femur to evaluate ligament balance and range of motion. Following ligament balancing, the patient specific femoral implant is secured in placed on the distal femur using bone cement or an alternative fixation method.
Although the examples described throughout this disclosure largely apply to knee implants and TKA, the techniques described throughout this disclosure may be applied to other implant procedures and joints, such as hips, ankles, shoulders, and spine. Although the example cuts have been portrayed as sawblade cuts, the cuts may be accomplished by a shaver, reamer, or bun and similar techniques may be used. The solution zone also may be flat as depicted in the examples or some other shape. For example, the zone might be in the shape of a hollow sphere for the head of the hip joint.
The system 2000 includes a processor 2010, a memory 2020, a storage device 2030, and an input/output device 2040. Each of the components 2010, 2020, 2030, and 2040 are interconnected using a system bus 2050. The processor 2010 is capable of processing instructions for execution within the system 2000. In one implementation, the processor 2010 is a single-threaded processor. In another implementation, the processor 2010 is a multi-threaded processor. The processor 2010 is capable of processing instructions stored in the memory 2020 or on the storage device 2030 to display graphical information for a user interface on the input/output device 2040.
The memory 2020 stores information within the system 2000. In one implementation, the memory 2020 is a computer-readable medium. In one implementation, the memory 2020 is a volatile memory unit. In another implementation, the memory 2020 is a non-volatile memory unit.
The storage device 2030 is capable of providing mass storage for the system 1000. In one implementation, the storage device 2030 is a computer-readable medium. In various different implementations, the storage device 2030 may be a floppy disk device, a hard disk device, an optical disk device, or a tape device.
The input/output device 2040 provides input/output operations for the system 1000. In one implementation, the input/output device 2040 includes a keyboard and/or pointing device. In another implementation, the input/output device 2040 includes a display unit for displaying graphical user interfaces.
The features described can be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or in combinations of them. The apparatus can be implemented in a computer program product tangibly embodied in an information carrier, e.g., in a machine-readable storage device, for execution by a programmable processor; and method steps can be performed by a programmable processor executing a program of instructions to perform functions of the described implementations by operating on input data and generating output. The described features can be implemented advantageously in one or more computer programs that are executable on a programmable system including at least one programmable processor coupled to receive data and instructions from, and to transmit data and instructions to, a data storage system, at least one input device, and at least one output device. A computer program is a set of instructions that can be used, directly or indirectly, in a computer to perform a certain activity or bring about a certain result. A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
Suitable processors for the execution of a program of instructions include, by way of example, both general and special purpose microprocessors, and the sole processor or one of multiple processors of any kind of computer. Generally, a processor will receive instructions and data from a read-only memory or a random access memory or both. The elements of a computer are a processor for executing instructions and one or more memories for storing instructions and data. Generally, a computer will also include, or be operatively coupled to communicate with, one or more mass storage devices for storing data files; such devices include magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and optical disks. Storage devices suitable for tangibly embodying computer program instructions and data include all forms of non-volatile memory, including by way of example semiconductor memory devices, such as EPROM, EEPROM, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, ASICs (application-specific integrated circuits).
To provide for interaction with a user, the features can be implemented on a computer having a display device such as a CRT (cathode ray tube) or LCD (liquid crystal display) monitor for displaying information to the user and a keyboard and a pointing device such as a mouse or a trackball by which the user can provide input to the computer.
The features can be implemented in a computer system that includes a back-end component, such as a data server, or that includes a middleware component, such as an application server or an Internet server, or that includes a front-end component, such as a client computer having a graphical user interface or an Internet browser, or any combination of them. The components of the system can be connected by any form or medium of digital data communication such as a communication network. Examples of communication networks include, e.g., a LAN, a WAN, and the computers and networks forming the Internet.
The computer system can include clients and servers. A client and server are generally remote from each other and typically interact through a network, such as the described one. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
The tangible computer-readable mediums described throughout this disclosure may be referred to as non-transitory computer-readable mediums. Non-transitory computer-readable mediums may include any type of hardware storage device and the term non-transitory may be used to distinguish from intangible information carriers, such as propagating signals.
There is also provided a method for locating an implant. The method includes the steps of: preparing a distal end of a femur; locating a maximum distal width of the distal end; placing an instrument on the prepared femur, moving the instrument in a medial-lateral direction to obtain equal perimeter offsets; pinning the instrument; and creating at least one lug hole in the distal end of the femur using the instrument. The instrument includes a distal cut surface portion; an anterior chamfer portion connected to the distal cut surface portion; anterior flange portion connected to the anterior chamfer portion; a posterior chamfer portion connected to the distal cut surface portion; and at least one paddle connected to the posterior chamfer portion. The step of creating at least one lug uses a drill, a reamer or a punch. In some embodiments, the method includes the steps of removing the instrument and implanting a knee prosthesis.
There is provided a method for manufacturing a positioner instrument. The method includes the steps of: obtaining image data; generating a ribbon using the image data; generating a spline using the ribbon; generating offset distances for at least one lug location; importing the spline into an instrument CAD model; placing the offset distances in the instrument CAD model; and outputting the instrument CAD model to a SLA file.
In view of the foregoing, it will be seen that the several advantages of the invention are achieved and attained.
The embodiments were chosen and described in order to best explain the principles of the invention and its practical application to thereby enable others skilled in the art to best utilize the invention in various embodiments and with various modifications as are suited to the particular use contemplated.
As various modifications could be made in the constructions and methods herein described and illustrated without departing from the scope of the invention, it is intended that all matter contained in the foregoing description or shown in the accompanying drawings shall be interpreted as illustrative rather than limiting. Thus, the breadth and scope of the present invention should not be limited by any of the above-described exemplary embodiments, but should be defined only in accordance with the following claims appended hereto and their equivalents.
This application claims the benefit of U.S. Patent Application No. 61/771,409, filed on Mar. 1, 2013, and U.S. Patent Application No. 61/696,083, filed on Aug. 31, 2012. The disclosure of each prior application is incorporated by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 61696083 | Aug 2012 | US | |
| 61771409 | Mar 2013 | US |
