The present disclosure relates to a method and a system for reconstructing a 3D medical image.
X-Ray imaging systems are frequently used during medical surgical procedures to provide physicians with image-based information about a patient's anatomical situation and/or the position and orientation of surgical instruments.
Such X-ray imaging systems typically provide two-dimensional (2D) projection images with different anatomical structures superimposed along the path of the X-rays.
A typical example of such a system for use in an intra-operative setting is the so-called C-arm which comprises a base frame on which a C-shaped arm is attached with several intermediate joints allowing moving the C-shaped arm in space along several degrees of freedom. One end of the C-shaped arm carries an X-ray source and the other end carries an image detector.
Due to the limited information provided by these 2D images, three-dimensional (3D) imaging techniques have become necessary over the past decades.
While computer tomography is a well-established class of stationary X-ray imaging systems used for 3D reconstruction in a radiology department, these systems are in general not usable inside an operating room.
Recent years have seen an increasing interest in tomographic reconstruction techniques, also known as cone-beam reconstruction techniques (CBCT), using two-dimensional detectors.
Special efforts have been made to enable the aforementioned C-arms to provide three-dimensional information by automatically acquiring a set of 2D images and subsequently reconstructing a 3D image reconstruction based on said cone-beam reconstruction techniques.
An inherent problem with this imaging modality is the limitation in size of the reconstructed 3D image. The factors limiting this size of reconstruction are notably:
However, it is often desirable, during minimally invasive surgery, to have a reconstructed 3D image as large as possible, not only for the surgeon's comfort but also for better outputs in certain surgeries: for example for interventions on several bones (several vertebrae for example), or for surgery on obese patients.
It is thus desirable to optimize the path of an X-ray imaging system during the acquisition of a set of 2D images in view of generating a reconstructed 3D image of a region of interest (ROI) of a patient as large as possible within safety parameters.
In some embodiments, the invention thus provides a method for reconstructing a 3D medical image of a region of interest from a set of 2D X-ray images acquired by an X-ray imaging system comprising an X-ray source and an image detector, comprising the steps of:
By “contiguous” is meant in the present text that two adjacent cones of projection corresponding to a same position of the X-ray source along the respective path are in contact or partially overlap.
Contrary to conventional reconstruction techniques in which one path of the X-ray imaging system is defined so as to acquire a set of 2D X-ray images having a sufficient number of images for complete reconstruction of the volume, the method according to the invention involves at least two paths of the X-ray imaging system, wherein each subset of 2D X-ray images acquired along the respective path is not sufficient alone to reconstruct the 3D image. In particular, an intersection between the cones of projection of each subset of images is smaller than the region of interest, whereas the intersection between the cones of projection of the images of all the subsets is generally greater than the region of interest.
In some embodiments, n is equal to 2.
In alternative embodiments, n is equal to 3.
In some embodiments, the given position of the virtual isocenter is substantially the center of the region of interest.
In other embodiments, the given set of positions of the virtual isocenter is chosen to minimize a distance between the virtual isocenter and the center of the region of interest for each position of the X-ray source along the respective path.
At least two of the n paths may advantageously be implemented in opposite directions of orbital rotation of the X-ray imaging system.
Generally, an intersection between the cones of projection of each subset of images may be smaller than the region of interest.
In some embodiments, for a same position of the X-ray source along the n paths, the images of at least two of the n subsets partially overlap.
In some situations, a calibration phantom comprising radiopaque fiducials is detectable only in the image of one first subset, the method further comprising registering the image of at least one other subset to the image of the first subset based on the overlapping portion of said images.
In some embodiments, the method comprises selectively reducing the cone of projection of each 2D X-ray image using a dynamic collimator.
In preferred embodiments, the X-ray imaging system comprises a base, a C-shape gantry supporting the X-ray source and the image detector, and a motorized arm connecting the C-shaped-gantry to the base, the motorized arm presenting at least three rotation axes directed along a substantially common vertical direction.
Another object of the invention is a medical system for implementing the above-described method.
Said system comprises:
In preferred embodiments, the X-ray imaging system comprises a base, a C-shape gantry supporting the X-ray source and the image detector, and a motorized arm connecting the C-shaped-gantry to the base, the motorized arm presenting at least three rotation axes directed along a substantially common vertical direction.
Further features and advantages of the invention will be described in the following description, based on the appended drawings wherein:
For sake of legibility of the drawings, the figures are not necessarily drawn to scale.
The reference signs identical from one figure to another one designate the same elements or elements fulfilling the same function.
The invention may be implemented for reconstruction a 3D X-ray image in the context of a surgical intervention carried out onto one or several patient's bones, including but not limited to: implantation of orthopedic implants such as pedicular screws in the spine, implantation of various orthopedic implants in bones, reduction and fixation of fractures during traumatological procedures, positioning guides or canulae at a desired position with respect to a predefined target, or insertion of catheters or stents during cardio-vascular or urology procedures.
In this regard, the X-ray imaging system may be coupled to other surgical systems, such as a localization system and/or a surgical robotic system.
A region of interest corresponds to a volume of the patient's body to be acquired by an X-ray imaging technique. The region of interest may comprise a bone, a portion of a bone, or a plurality of adjacent bones.
As depicted in
The X-ray source and X-ray image detector are carried by a C-shaped gantry G, the X-ray source and X-ray image detector being arranged on opposite ends of the gantry. Due to the shape of the gantry, such an imaging system is usually called a C-arm. As mentioned above, the center of the segment connecting the center of the X-ray source and the center of the detector is called the isocenter of the C-arm.
In the present invention, as in various conventional C-arms, the center of orbital motion of the C-arm is the isocenter. As a result, in the present text, the center of orbital motion and the isocenter designate the same point referred to as I.
In a manner known per se, the X-ray imaging system is configured to produce at least one 2D X-ray image that is the result of a conical projection of a region of interest onto the image detector, wherein the apex of the cone is approximately the central point of the X-ray source and the base of the cone is approximately the portion of the image detector that is reached by X-ray beams that have been collimated in a given shape and orientation.
A conventional C-arm is designed to allow the gantry to move relative to a base so as to move the X-ray source and detector about a patient while obtaining projection images of the patient placed between the X-ray source and the X-ray detector of the gantry.
For example, the X-ray imaging system may be a conventional C-arm, or any Cone-Beam Computed Tomography (CBCT) imaging system such as the SURGIVISIO device (ECENTIAL ROBOTICS, Gières, France), or VISION FD VARIO 3D (ZIEHM), CIOS SPIN MOBILE 3D (SIEMENS), AIRO (STRYKER), LOOP-X (BRAINLAB), O-ARM (MEDTRONIC).
To reconstruct a 3D image, an imaging dataset comprising a plurality of 2D X-ray images of a region of interest is acquired by the X-ray imaging device. A 3D image of the region of interest can be reconstructed from the set of 2D X-ray images acquired by the X-ray imaging system using tomography techniques. The 3D image corresponds to the intersection of the cones of projection of the region of interest onto the detector corresponding to each 2D X-ray image of the imaging dataset.
In preferred embodiments, the X-ray imaging system may be motorized. In particular, the C-shaped gantry may comprise motors allowing movement horizontally (X and Y directions), vertically (Z direction) and around the X direction (defined by an angle α), so that 2D X-ray images of the patient may be produced from almost any angle. As shown on
Each motor is associated to an encoder that provides at any time the relative position of the X-ray imaging system with respect to a reference position. When a 2D X-ray image is acquired, the corresponding position of the imaging system is recorded. Thus, each 2D image is recorded in the referential of the imaging system.
The path of the motorized C-arm is determined by each 2D X-ray image position of acquisition of said C-arm while performing a 3D image acquisition.
In some embodiments, the X-ray imaging system may comprise a mobile base allowing displacing the C-arm in the operating room. The C-shaped gantry may thus be slidably and/or pivotably mounted on said mobile base. The motors of the C-arm may be arranged in the mobile base and/or in the gantry.
The C-shaped gantry comprises an X-ray source S and an X-ray detector D.
The motorized arm 20 presents at least three rotation axes Z1, Z2, Z3 directed along a substantially common vertical direction Z. An example of such three rotation axes Z1, Z2, Z3 is illustrated in the example embodiment of
A horizontal plane H is a plane normal to the vertical direction Z. The horizontal plane H is defined by a longitudinal direction Y and a transverse direction X orthogonal to the longitudinal direction Y.
A table on which a person to be imaged lies may extend in a substantially horizontal plane H. The longitudinal direction Y extends in a direction of a length of the table. The transverse direction X extends in a direction of a width of the table. A ground of the room in which the X-ray imaging is performed may extend in the horizontal plane H.
A vertical plane V corresponds to a plane defined by the vertical direction Z and the transverse direction X.
The movement of the C-arm 30 is managed by means of a single motorized arm 20, and is therefore simple.
The three rotation axes Z1, Z2, Z3 directed along a substantially common vertical direction Z are substantially parallel and articulate different segments of the motorized arm 20 relative to each other, so as to allow the motorized arm 20 to access quickly a wide range of positions in a wide variety of directions. The X-ray imaging system thus allows complex paths to be followed, which enables imaging of a large variety of regions of interests, under a large variety of constraints.
More particularly, the motorized arm 20 may move the C-shaped gantry G by a rotation or a combination of rotations of different segments of the motorized arm 20 around one or several of the three rotation axes Z1, Z2, Z3 of the motorized arm 20.
The motorized arm 20 may for example move the C-shaped gantry G in the horizontal plane H substantially normal to the vertical direction Z, for example in translation in the transverse direction X, the longitudinal direction Y, or any combination of directions comprised in the horizontal plane H.
A motorized arm 20 comprising three substantially parallel rotation axes Z1, Z2, Z3 also allows a high level of precision of the movement of the motorized arm 20, and therefore an accurate positioning and orienting of the C-arm 30.
The X-ray imaging system thus makes it possible to successively acquire distant imaging datasets of distant regions of interest, by moving the C-shaped gantry G between the successive acquisitions, while knowing that the movement command has been respected. The effective position of the C-shaped gantry G substantially corresponds to the commanded position of the C-shaped gantry G. Thus, the position of the X-ray source S and of the X-ray detector D are known for each successive acquisition of an imaging dataset.
Therefore, when several successive imaging datasets must be acquired, the relative position of the acquired images of a first dataset relative to the acquired images of a second dataset can be accurately be deduced from the commanded movement of the C-shaped gantry G. Therefore, the position of the C-shaped gantry G does not have to be recalibrated by specific recalibration means for the acquired images of different datasets.
The C-shaped gantry G may be positioned successively at different regions of interest, for example a foot, a knee, a hip, several vertebrae, etc. and/or acquire different datasets of images of a same region of interest, as will be described below. The position of the C-shaped gantry G may be deduced at any time from the commanded movement of the motorized arm 20, as the command is known to have been respected.
Finally, the base 10 is a mobile base. Therefore, the base 10 may be moved according to the region of interest to acquire, and may be moved in order to cooperate with a movement of the motorized arm 20. The mobile base 10 may be moved between successive acquisitions of different regions of interest. For example, the mobile base 10 may be positioned as close as possible to the region of interest to be acquired without hindering the doctor performing the X-ray imaging. This further reduces the complexity, weight and space needed by the X-ray imaging system.
This solution thus offers a greater flexibility in the acquisitions of imaging datasets with no loss of accuracy and with no significant impact on the weight and cost of the X-ray imaging system.
The X-ray imaging system is controlled by a control unit which typically comprises a processor, a data storage device and a communication device. In particular, said control unit controls the motors of the X-ray imaging system, i.e. the motors of the motorized C-arm and the motors of the motorized arm, when present.
The control unit may advantageously be embedded in the base of the X-ray imaging system. Said base may also comprise switches, such as a power switch, an emergency button and the like.
Alternatively, said control unit may be embedded in a separate cart with at least one interface with the C-arm, or may be remote, for example in a separate control room of the hospital or in a data center.
In preferred embodiments, the control unit may be able to control other surgical systems in the operating room.
The control unit is configured to implement suitable algorithms to carry out the workflow described below in order to reconstruct a 3D medical image.
The set of 2D X-ray images to be used for reconstruction of the 3D medical image is divided in two or more subsets of 2D X-ray images.
The acquisition of each subset of 2D X-ray images is carried out along a respective path of the X-ray imaging system. The determination of the path for each respective subset will be described below.
Each subset comprises a number of 2D X-ray images. This number may vary depending on the size and nature of the region of interest, but each subset is insufficient alone to reconstruct a 3D image of the region of interest. This means that, due to the specific design of the subsets, which will be described below, the intersection of the cones of projection of the images of each subset is not optimized and may be small or even void, and in any case is smaller than the region of interest.
By contrast, the combination of all the subsets comprises a sufficient number of 2D X-ray images with an optimized intersection—at the level of all the subsets—to allow reconstructing a 3D image of the region of interest. In particular, the intersection of the cones of projection of the images of all the subsets is computed to be greater than the region of interest.
Preferably, each subset comprises the same number of 2D X-ray images. In particular, the method forms a plurality of pairs, triplets or more generally groups of n 2D X-ray images, wherein n is an integer greater than or equal to 2, being the number of subsets, such that each 2D X-ray image of the group belongs to a respective distinct subset. Otherwise said, each image of a subset is associated with one image of each other subset to form such a group. It is to be that this association is only virtual, i.e. the n images of the group meet a requirement that will be described below, but the images are not physically assembled, stitched or otherwise linked to each other to reconstruct the 3D image.
More precisely, each group corresponds to a same position of the X-ray source along the n paths implemented to acquire the n subsets. The requirement to be met by the images of each group is that the cone of projection of an image of any subset is contiguous to the cone of projection of an image of at least one other subset. As mentioned above, “contiguous” means that two adjacent cones of projection of the group are in contact or partially overlap.
A first example of such a situation wherein n is equal to 2 is schematically illustrated in
The X-ray source S has a common position between a pair of images IA and IB. Each image IA and IB belongs to a different subset.
The images IA and IB correspond to the projection of a respective cone CA, CB of X-rays generated by the source S onto the image detector during a respective path of the X-ray imaging system.
For example, as indicated by the arrows, the image IA has been acquired along a first path of the X-ray imaging system according to a clockwise orbital rotation about its isocenter, and the image Is has been acquired along a second path of the X-ray imaging system according to a counter-clockwise orbital rotation of the X-ray imaging system about its isocenter. Implementing the first and second paths according to opposite directions of rotation is advantageous to optimize the time and whole path of acquisition of the set of 2D X-ray images. In particular, implementing the first and second paths in opposite directions allows avoiding returning to a starting position of the C-arm between the two paths, which saves time; in addition, the movements of the C-arm are minimized, which may be beneficial to reduce errors in the positioning of the cones of projection due to lack of accuracy of the mechanical components of the X-ray imaging system.
In the illustrated embodiment, the cones of projection CA, CB share a common boundary and are thus contiguous.
Alternatively, the cones of projection may partially overlap and are thus also considered to be contiguous within the meaning of the present disclosure. This situation is schematically illustrated in
The X-ray source S has a common position between a pair of images IA and IB. Each image IA and IB belongs to a different subset.
The images IA and IB correspond to the projection of a respective cone CA, CB of X-rays generated by the source S onto the image detector during a respective path of the X-ray imaging system.
For example, as indicated by the arrows, the image IA has been acquired along a first path of the C-arm according to a clockwise orbital rotation about its isocenter, and the image IB has been acquired along a second path of the C-arm according to a counter-clockwise orbital rotation of the C-arm about its isocenter.
The cones of projection CA, CB partially overlap and share a common area corresponding to their intersection.
An advantage of such an overlapping is to avoid having gaps between the cones of projection, for example due to lack of accuracy of the mechanical components of the X-ray imaging system.
In addition, a greater quantity of X-rays passes through the region of interest in the overlapping portion, thereby providing a greater accuracy of the reconstructed 3D image in this portion.
Another advantage of such an overlapping is that registration of the images IA and IB can be carried out based on the elements of the region of interest present in the intersecting portion of said images. Such a registration is all the more advantageous that the images IA and IB may be acquired at different times, such that the region of interest may have moved relative to the X-ray source. For example, the patient's breathing may generate a cyclic movement of the region of interest, such that, if the images IA and IB are not acquired at a same stage of the breathing cycle, the position of the region of interest is not the same in both images. The above-mentioned registration based on the overlapping portion of the images allows correcting this offset.
In preferred embodiments, a phantom is used to calibrate the 3D geometry of the X-ray imaging system at the same time as the image acquisition. As shown in
In some embodiments, the X-ray imaging system may comprise dynamic collimators adapted to reduce the areas of the X-ray beam generated by the X-ray source. In the present method, said dynamic collimators can be adjusted for each cone of projection to protect some regions of the patient's body that must not or need not be irradiated. Such collimation is schematically illustrated in
Another example, for a situation wherein n is equal to 3, is schematically illustrated in
The X-ray source S has a common position between a triplet of images IA, IB and IC. Each image IA, IB and IC belongs to a different subset. The images IA, IB and IC correspond to the projection of a respective cone CA, CB and CC of X-rays generated by the source S onto the image detector during a respective path of the X-ray imaging system. For example, as indicated by the arrows, the image IA has been acquired along a first path of the C-arm according to a clockwise orbital rotation about its isocenter, the image IB has been acquired along a second path of the C-arm according to a counter-clockwise orbital rotation of the C-arm about its isocenter, and the image IC has been acquired along a third path of the C-arm according to a clockwise orbital rotation about its isocenter.
Although the images IA, IB and IC are represented with a common boundary two by two, there may be an overlap between images IA and IB and between images IB and IC, as described above. In this way, it is possible to register the three images together based on their overlapping portions.
Of course, the number n of subsets may be greater than 3, although it requires a greater number of paths of the X-ray imaging system.
The union of the n images of each group can be seen as an enlarged cone of projection of X-rays generated by the source passing through the region of interest onto a virtual image detector.
The intersection of all the enlarged cones obtained with the plurality of paths of the X-ray imaging system is greater than the intersection of cones of projection of 2D X-ray images acquired in a path of the X-ray imaging system not allowing forming groups of contiguous images. As a result, the size of the reconstructed 3D image is increased. As mentioned previously, the reconstruction of the 3D image does not require assembling, stitching or otherwise physically linking the 2D X-ray images of each group. The reconstruction of the 3D image conventionally requires intersecting the cones of projection corresponding to each 2D X-ray image of the whole set of images, but, thanks to the requirement on the contiguity of the images of each group, the volume resulting from said intersection is greater than with conventional paths of the X-ray imaging system.
As shown in
Considered separately, the paths of the X-ray imaging system do not have any clinical meaning and would not allow reconstructing a relevant 3D image since they are not designed to provide a sufficient intersection of the respective cones. However, the virtual isocenter allows establishing a link between the images acquired during said paths and the patient.
To determine the paths of the X-ray imaging system, the virtual isocenter is placed at a given position or set of positions relative to the center of the region of interest.
Advantageously, to optimize the size of the 3D image, the virtual isocenter has to be placed substantially at the center C of the region of interest (see
The position of the center of the region of interest relative to the X-ray imaging system can be determined or at least estimated in various ways. In some embodiments, a phantom comprising a set of radiopaque fiducials in a known spatial configuration may be placed within the volume to be imaged and in such a way that the spatial relationship between said radiopaque fiducials (or any other fixed reference) and the center of the region of interest is known and fixed. Generally, the center of the region of interest relative to the patient's body is at least approximately known based on anatomical knowledge of the patient's body. Alternatively, the center of the region of interest may be defined by an input of a physician on preoperative images or on intraoperative images acquired prior to the acquisition paths for reconstructing the 3D image. For example, two 2D X-ray images may be acquired with the X-ray imaging system, allowing for a 3D positioning of the center of the region of interest. For example, said two images may be a frontal and a lateral view of the region of interest to be imaged. In other embodiments, the center of the region of interest may be determined automatically by image analysis. In any case, the position of the center of the region of interest is thus determined in a coordinate system of the X-ray imaging system. In such a way, the control unit is able to move the C-arm with respect to the center of the region of interest.
The path corresponding to each subset of 2D X-ray images may thus be computed so that, for each position of the X-ray source, the virtual isocenter is located at or near the center of the region of interest.
The points designated by OA represent the position of the real isocenter of the C-arm during the first path and the points designated by OB represent the position of the real isocenter of the C-arm during the second path.
One group of contiguous cones of projection CA, CB is represented. The cones of projection for other positions of the C-arm along the first and second paths are represented with grey boundaries. The dotted contour surrounding the virtual isocenter O represents the volume V of the reconstructed 3D image, defined by the intersection of the plurality of cones.
dA and dB represent the width of the base of the respective cone CA, CB, which is also the size of the respective 2D X-ray image. d represents the width of the base of the enlarged cone formed by the union of cones CA, and CB.
To reconstruct a volume V having a diameter d of about 30 mm, the real isocenter of the C-arm has to move in translation by 7.5 cm in the x direction and by 15 cm in the z direction in both paths. The angular displacement of the virtual image detector is from 172.5° to −7.5° for the first path, and from 187.5° to 7.5° for the second path.
The trajectory of the virtual image detector may also be more complex than a pure orbital motion.
Document WO 2022/101432 teaches a complex trajectory that may be implemented in the present invention by the X-ray imaging system to minimize the distance between the center of the region of interest and the virtual image detector. Said complex trajectory combines a rotation about the isocenter and a translation along a central axis extending between the X-ray source and the center of the virtual image detector and passing by the center of the region of interest. This complex trajectory also takes into account the position of the operating table and the patient to avoid any collision.
In some embodiments, the complex trajectory may also include a rotation about the X-axis (α angle). Such a rotation may allow reducing the impact of metallic artefacts in the X-ray images. For example, the angle α with respect to the vertical XZ plane may vary between −5° and +5°, either continuously or discontinuously.
Thanks to this optimized trajectory, the distance between the patient's body and the virtual image detector may be reduced as compared to a simple orbital trajectory. This provides at least two advantages:
This will be best understood based on
In a first step which is represented on the left side, the operating table T, patient P, X-ray source S and virtual image detector D′ during an orbital movement of the C-arm are represented. The orbital center of rotation of the C-arm (which corresponds to the virtual isocenter of the C-arm) is designated by reference O and the center of the region of interest is designated by reference C. In the illustrated situation the orbital center of rotation O is located slightly below the center C of the region of interest. The axis A represents the central axis extending between the X-ray source and the center of the virtual image detector and passing through the center C of the region of interest.
In a second step which is represented on the right side of
The translation TA is computed by the control unit to minimize the distance between the virtual detector D′ and the center C of the region of interest.
It should be noted that the first and second steps may be performed successively or simultaneously.
Although not shown, the C-arm may also be inclined by an angle α relative to the vertical XZ plane. This additional movement may be implemented simultaneously with the first and second steps, or as a third step following the first and second steps.
For each of the n paths, the optimized trajectory is composed of a plurality of positions of the C-arm relative to the patient, each position being determined as explained above.
Of course, the control unit may also take into account the position of the patient and of the operating table (and of any other surgical system located in the vicinity of the patient) relative to the C-arm to avoid any collision. In such case, the control unit computes the translation TA of the C-arm sufficient to avoid the collision while still minimizing the distance between the patient and the virtual detector.
To that end, an anti-collision system may be integrated to the X-ray imaging system. Such an anti-collision system may comprise sensors, such as proximity sensors, telemeters, tactile sensors, etc., configured to detect the presence of an object at a determined distance from at least one moving part of the C-arm. The control unit may be configured to stop the movement of the C-arm in case a sensor has detected an object at a short distance from a moving part of the C-arm.
For example, a collision avoidance trajectory may be done before the actual acquisition trajectory, with the anti-collision system enabled to detect any risk of collision with an external item along each translation computed for the optimization of the acquisition. Thus, it may be ensured that the calculated trajectory does not imply any risk of collision, while being optimal regarding the translation (i.e. the maximum translation considering the risks of collision has been performed). If this collision avoidance trajectory allows confirming that there is no risk of collision, the acquisition trajectory may be implemented accordingly.
Of course, the anti-collision system may remain activated during the acquisition trajectory, in order to avoid any collision in the case unexpected obstacles are present along the trajectory.
In some situations, the translation of the C-arm may be limited by the maximum range of motion of the motors. For example, the trajectory of the C-arm may not be able to fully minimize the distance between the region of interest and the detector due to the fact that the motors have reached their maximum positions and cannot further translate the C-arm.
To avoid this situation, the user of the C-arm may be advised to begin the trajectory with all motors of the C-arm positioned in the middle of their range of motion.
When considering the trajectory of the virtual isocenter as a whole, one may consider that it has a substantially U shape. By U shape is meant a planar shape made of three consecutive segments oriented substantially at 90° relative to each other. The segments may be substantially linear, but may alternatively have a certain radius of curvature. In addition, the connection between the segments may be a right angle or may present a small radius of curvature. According to a preferred embodiment, first and third segments extend in a vertical direction and the second segment which connects the first and third segments extends in a horizontal direction. The second segment is advantageously connected to the bottom end of the first and third segments.
This kind of trajectory has proven to be an optimal trade-off between maximization of the volume and avoidance of any risk of collision.
The U shape may be rectangular or square, which may be obtained by not using more than one degree of freedom of the C-arm gantry (apart from the orbital motion) for the translation along the central X-ray axis for a given acquisition position.
Alternatively, the U shape may be round for an optimal but more complex trajectory involving at least two degrees of freedom of the C-arm gantry (apart from the orbital motion) for both reconstructed volume size and dose received by the patient.
The one of more degrees of freedom of the C-arm gantry may be selected taking into account the acquisition time and the mechanical capabilities of the C-arm.
In
In the embodiment of
In the embodiment of
The embodiment of
In some embodiments, as illustrated in
For example, to reconstruct a volume V having a diameter d of about 38 mm, the virtual isocenter has to move in translation by 28 cm in the x direction and by 15 cm in the z direction. The real isocenter of the C-arm has to move in translation by 28 cm in the x direction in the first path (30 cm in the second path) and by 24 cm in the z direction in both paths. The angular displacement of the virtual image detector is from 172.5° to −7.5° for the first path, and from 187.5° to 7.5° for the second path.
If appropriate, other types of paths can be defined.
In particular, the method described above can also be used to increase the size of the reconstructed image in the Y direction, and not only in the X, Z directions as described in the previous embodiments.
To that end, as shown in
Preferably, said paths are combined to the paths described above, so as to expand the size of the reconstructed 3D image in X, Y and Z directions. This allows, in particular, imaging an elongated anatomical structure, such as the patient's spine.
The X-ray imaging system described with reference to
Of course, as described previously, more than two paths may be used; in addition, the cones of projection may not simply share a boundary but partially overlap.
After the n paths have been computed, the control unit controls the C-arm to implement each path and acquire a subset of 2D X-ray images during each path.
Then, the control unit computes the reconstruction of the 3D image based on the 2D X-ray images of the n subsets. To that end, the control unit implements algorithms that are known by the skilled person.
The resulting 3D image has thus a greater size than a 3D image reconstructed from any conventional path of acquisition of the X-ray imaging system.
It is to be noted that the present disclosure is not limited to the illustrated and above-described embodiments. In particular, the individual embodiments can be combined whenever such a combination is technically feasible.
Number | Date | Country | Kind |
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22305064.2 | Jan 2022 | EP | regional |
Filing Document | Filing Date | Country | Kind |
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PCT/EP2023/051572 | 1/23/2023 | WO |