The present disclosure generally relates to imaging, and particularly, to image-guided navigation.
Image-guided navigation is an important issue in studying branched structures. As an example, electromagnetic navigation bronchoscopy (ENB) systems are used in imaging pulmonary airways via bronchoscopy, which is a diagnosis technique for lung related disabilities. In this technique, a patient's airways are assessed with a bronchoscope and samples are collected. For example, in case of a lung cancer, a bronchoscope may be navigated utilizing an ENB system inside the pulmonary airways to reach a tumor location. Computed tomography (CT) images may be used as a road map to find the tumor. By utilizing the navigation system and the road map, a suitable location for sampling may be obtained.
A number of landmarks, called fiducials, may be collected to register position data captured by an electromagnetic tracker and the structure of the patient's airways obtained from CT images. In current navigation systems, several fiducials spread all over the patient's airway tree may be selected as landmarks. Due to the large number of landmarks, the navigation process may take considerable time and may increase the probability of inaccuracies related to human errors.
There is, therefore, a need for a navigation method that requires a reduced number of landmarks for imaging branched structures. There is also a need for a navigation method that selects appropriate landmarks for imaging a specific target in a branched structure in a more efficient manner.
This summary is intended to provide an overview of the subject matter of the present disclosure, and is not intended to identify essential elements or key elements of the subject matter, nor is it intended to be used to determine the scope of the claimed implementations. The proper scope of the present disclosure may be ascertained from the claims set forth below in view of the detailed description below and the drawings.
In one general embodiment, the present disclosure describes a method for navigating an imaging instrument in a branched structure. The branched structure may include a plurality of landmarks. The method includes selecting a target in the branched structure, selecting a first landmark from the plurality of landmarks, acquiring a virtual model of the branched structure, extracting a first virtual image of the first landmark from the virtual model, acquiring a first live image of the first landmark by the imaging instrument, and registering the first live image with the first virtual image. The first landmark may be associated with the target.
The above general embodiment may include one or more of the following features. In an exemplary embodiment, the method may further include selecting a second landmark from the plurality of landmarks after acquiring the first live image, extracting a second virtual image of the second landmark from the virtual model, acquiring a second live image of the second landmark by the imaging instrument, replacing the first landmark with the second landmark before registering the first live image with the first virtual image, replacing the first virtual image with the second virtual image before registering the first live image with the first virtual image; and replacing the first live image with the second live image before registering the first live image with the first virtual image. The second landmark may be associated with the target.
In an embodiment, registering the first live image with the first virtual image may include calculating a registration transform by using a live position of the first landmark, a virtual position of the first landmark, and camera specifications of the imaging instrument. The live position of the first landmark may be acquired from the first live image. The virtual position of the first landmark may be acquired from the first virtual image.
In an exemplary embodiment, the method may further include selecting a landmarks subset from the plurality of landmarks in a neighborhood of the target, extracting a first plurality of virtual images from the virtual model by extracting an image of each of the landmarks in the landmarks subset from the virtual model, acquiring a plurality of live images via imaging each of the landmarks in the landmarks subset by the imaging instrument, and registering the plurality of live images with the plurality of virtual images. The landmarks subset may be associated with the first landmark.
In an exemplary embodiment, registering the plurality of live images with the first plurality of virtual images may include acquiring a plurality of live positions by extracting positions of at least three landmarks in the landmarks subset from the plurality of live images, acquiring a second plurality of virtual positions by extracting positions of the three landmarks in the landmarks subset from the first plurality of virtual images, and calculating a registration transform by using the plurality of live positions and the second plurality of virtual positions.
In an embodiment, navigating the imaging instrument in the branched structure may include navigating a bronchoscope in a bronchial tree. The bronchoscope may be associated with a tracking instrument. The bronchial tree associated with a main carina, a right lung, and a left lung. The right lung may include a right main bronchus, an intermediate bronchus, a right upper lobar bronchus, a right middle lobar bronchus, and a right lower lobar bronchus. The left lung may include a left main bronchus, a left upper lobar bronchus, a left lingular bronchus, and a left lower lobar bronchus.
In an exemplary embodiment, responsive to determining that the target being located in a right upper lobe of the right lung, selecting the landmarks subset may include selecting each landmark in the landmarks subset from inside a first region. The first region may include the right upper lobe and a middle lobe of the right lung.
In an embodiment, responsive to determining that the target being located in a middle lobe of the right lung, selecting the landmarks subset may include selecting each landmark in the landmarks subset from inside a second region. The second region may include the right upper lobe and the middle lobe.
In an exemplary embodiment, responsive to determining that the target being located in a right lower lobe of the right lung, selecting the landmarks subset may include selecting each landmark in the landmarks subset from inside a third region. The third region may include the right lower lobe.
In an embodiment, responsive to determining that the target being located in a left upper lobe of the left lung, selecting the landmarks subset may include selecting each landmark in the landmarks subset from inside a fourth region. The fourth region may include the left upper lobe.
In an exemplary embodiment, responsive to determining that the target being located in a left lower lobe of the left lung, selecting the landmarks subset may include selecting each landmark in the landmarks subset from inside a fifth region. The fifth region may include the left lower lobe.
In an exemplary embodiment, responsive to determining that the target being located in the right upper lobe, selecting the landmarks subset may include selecting a first bifurcation of the main carina into the left main bronchus and the right main bronchus, a second bifurcation of the right upper lobar bronchus into an apical segment and a posterior segment, a third bifurcation of the right upper lobar bronchus into the apical segment and a right anterior segment, and a fourth bifurcation of the right upper lobar bronchus into the posterior segment and the right anterior segment.
In an embodiment, responsive to determining that the target being located in the middle lobe, selecting the landmarks subset may include selecting the first bifurcation, a fifth bifurcation of the right middle lobar bronchus into a lateral segment and a medial segment, a sixth bifurcation of the right lower lobar bronchus into a right anterior basal segment and a right medial basal segment, and a seventh bifurcation of the right lower lobar bronchus into a right lateral basal segment and a right posterior basal segment.
In an exemplary embodiment, responsive to determining that the target being located in the right lower lobe, selecting the landmarks subset may include selecting the fifth bifurcation, the seventh bifurcation, an eighth bifurcation of the intermediate bronchus into the right middle lobar bronchus and the right lower lobar bronchus, and a ninth bifurcation of the right lower lobar bronchus into the right anterior basal segment and the right lateral basal segment.
In an exemplary embodiment, responsive to determining that the target being located in the left upper lobe, selecting the landmarks subset may include selecting the first bifurcation, a tenth bifurcation of the left main bronchus into the left upper lobar bronchus and the left lower lobar bronchus, an eleventh bifurcation of the left upper lobar bronchus into an apicoposterior segment and a left anterior segment, and a twelfth bifurcation of the left lingular bronchus into a superior lingular segment and an inferior lingular segment.
In an embodiment, responsive to determining that the target being located in the left lower lobe, selecting the landmarks subset may include selecting the tenth bifurcation, a thirteenth bifurcation of the left lower lobar bronchus into a left medial basal segment and a left posterior basal segment, a fourteenth bifurcation of the left lower lobar bronchus into a left anterior basal segment and the left medial basal segment, and a fifteenth bifurcation of the left lower lobar bronchus into a left lateral basal segment and the left posterior basal segment.
In an exemplary embodiment, acquiring the plurality of live positions may include moving a tip of the of the bronchoscope to a position of a landmark in the landmarks subset by using a corresponding live image of the plurality of live images, and extracting the tip position by using the tracking instrument.
In an embodiment, acquiring the virtual model may include reconstructing a three-dimensional model of the bronchial tree from a plurality of computed tomography (CT) images of the bronchial tree.
Other systems, methods, features and advantages of the implementations will be, or will become, apparent to one of ordinary skill in the art upon examination of the following figures and detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description and this summary, be within the scope of the implementations, and be protected by the claims herein.
The drawing figures depict one or more implementations in accord with the present teachings, by way of example only, not by way of limitation. In the figures, like reference numerals refer to the same or similar elements.
In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant teachings. However, it should be apparent that the present teachings may be practiced without such details. In other instances, well known methods, procedures, components, and/or circuitry have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the present teachings.
The following detailed description is presented to enable a person skilled in the art to make and use the methods and devices disclosed in exemplary embodiments of the present disclosure. For purposes of explanation, specific nomenclature is set forth to provide a thorough understanding of the present disclosure. However, it will be apparent to one skilled in the art that these specific details are not required to practice the disclosed exemplary embodiments. Descriptions of specific exemplary embodiments are provided only as representative examples. Various modifications to the exemplary implementations will be readily apparent to one skilled in the art, and the general principles defined herein may be applied to other implementations and applications without departing from the scope of the present disclosure. The present disclosure is not intended to be limited to the implementations shown, but is to be accorded the widest possible scope consistent with the principles and features disclosed herein.
Herein is disclosed a method for navigating an imaging instrument in a branched structure. The method includes selecting a target that is to be imaged, selecting a group of landmarks in the branches, and registering a pair of images of each landmark. A first image is captured by an imaging instrument (i.e., the live image), and a second image is extracted from a virtual model (e.g., a three-dimensional image). The second image may show a landmark in a cross-section virtual image. If the live image of the landmark is not satisfactory, the landmark may be replaced with a new landmark and the registration procedure may be repeated. The registration procedure is updated by selecting a new landmark from a group of landmarks, until the last landmark is processed. The group of landmarks are selected according to an approximate location of the target.
According to an exemplary embodiment, navigating imaging instrument 202 in branched structure 200 may include navigating a bronchoscope in a bronchial tree. The bronchoscope may be associated with a tracking instrument.
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Step 126 may include selecting landmarks subset 211. In an embodiment, landmarks subset 211 may be associated with first landmark 208. If first landmark 208 is replaced with second landmark 210, landmarks subset 211 may also be accordingly modified, to be consistent with second landmark 210.
Step 134 may include extracting the second plurality of virtual images from virtual model 402. For further clarification,
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In an embodiment, responsive to determining that target 206 being located in right upper lobe 326, selecting landmarks subset 211 (step 126) may include selecting a first bifurcation 336 of main carina 302 into left main bronchus 318 and right main bronchus 308, selecting a second bifurcation 338 of right upper lobar bronchus 312 into an apical segment 340 and a posterior segment 342, selecting a third bifurcation 344 of right upper lobar bronchus 312 into apical segment 340 and a right anterior segment 346, and selecting a fourth bifurcation 348 of right upper lobar bronchus 312 into posterior segment 342 and right anterior segment 346.
In an exemplary embodiment, responsive to determining that target 206 being located in middle lobe 328, selecting landmarks subset 211 (step 126) may include selecting first bifurcation 336, selecting a fifth bifurcation 350 of right middle lobar bronchus 314 into a lateral segment 352 and a medial segment 354, selecting a sixth bifurcation 356 of right lower lobar bronchus 316 into a right anterior basal segment 358 and a right medial basal segment 360, and selecting a seventh bifurcation 362 of right lower lobar bronchus 316 into a right lateral basal segment 364 and a right posterior basal segment 366.
In an embodiment, responsive to determining that target 206 being located in right lower lobe 330, selecting landmarks subset 211 (step 126) may include selecting fifth bifurcation 350, selecting seventh bifurcation 362, selecting an eighth bifurcation 368 of intermediate bronchus 310 into right middle lobar bronchus 314 and right lower lobar bronchus 316, and selecting a ninth bifurcation 370 of right lower lobar bronchus 316 into right anterior basal segment 358 and right lateral basal segment 364.
In an exemplary embodiment, responsive to determining that target 206 being located in left upper lobe 332, selecting landmarks subset 211 (step 126) may include selecting first bifurcation 336, selecting a tenth bifurcation 372 of left main bronchus 318 into left upper lobar bronchus 320 and left lower lobar bronchus 324, selecting an eleventh bifurcation 374 of left upper lobar bronchus 320 into an apicoposterior segment 376 and a left anterior segment 378, and selecting a twelfth bifurcation 380 of left lingular bronchus 322 into a superior lingular segment 382 and an inferior lingular segment 384.
In an embodiment, responsive to determining that target 206 being located in left lower lobe 334, selecting landmarks subset 211 (step 126) may include selecting tenth bifurcation 372, selecting a thirteenth bifurcation 386 of left lower lobar bronchus 324 into a left medial basal segment 388 and a left posterior basal segment 390, selecting a fourteenth bifurcation 392 of left lower lobar bronchus 324 into a left anterior basal segment 394 and left medial basal segment 388, and selecting a fifteenth bifurcation 396 of left lower lobar bronchus 324 into a left lateral basal segment 398 and left posterior basal segment 390.
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In this example, a software module is presented for navigating an exemplary bronchoscopy system by using an embodiment of method 100.
A cross-shaped control 6 identifies a location of a lung nodule in the patient's airways. Control 6 may be dragged to select the nodule area in any of first two-dimensional slice 9, second two-dimensional slice 10, and third two-dimensional slice 11. A control 7 changes the radius of a selected area. When a user clicks on control 6 or adjusts the selected area by control 7, the changes appear on the plurality of images 12, and the selected area is highlighted. A slide control 5 may be used to change one of first two-dimensional slice 9, second two-dimensional slice 10, and third two-dimensional slice 11.
Each landmark in the recommended landmarks subset is displayed by a sphere and corresponding tags, including tag 18, tag 19 and tag 20. Each of the tags includes an anatomical label based on the nearest division's name. A control 25 symbolizes the user's view of map 14. The user's view may be changed by rotating it control 25.
A control 31 may be used for adjusting a view of virtual image 29. The adjusted view may be saved as a golden virtual image to be used for navigating the bronchoscope to the landmark position. If selected landmark 30 is acceptable after acquiring the golden virtual image, selected landmark 30 may be accepted by choosing an accept command in a pop-up window 32. Otherwise, selected landmark 30 may be replaced by another landmark by choosing a modify command in pop-up window 32.
While the foregoing has described what are considered to be the best mode and/or other examples, it is understood that various modifications may be made therein and that the subject matter disclosed herein may be implemented in various forms and examples, and that the teachings may be applied in numerous applications, only some of which have been described herein. It is intended by the following claims to claim any and all applications, modifications and variations that fall within the true scope of the present teachings.
Unless otherwise stated, all measurements, values, ratings, positions, magnitudes, sizes, and other specifications that are set forth in this specification, including in the claims that follow, are approximate, not exact. They are intended to have a reasonable range that is consistent with the functions to which they relate and with what is customary in the art to which they pertain.
The scope of protection is limited solely by the claims that now follow. That scope is intended and should be interpreted to be as broad as is consistent with the ordinary meaning of the language that is used in the claims when interpreted in light of this specification and the prosecution history that follows and to encompass all structural and functional equivalents. Notwithstanding, none of the claims are intended to embrace subject matter that fails to satisfy the requirement of Sections 101, 102, or 103 of the Patent Act, nor should they be interpreted in such a way. Any unintended embracement of such subject matter is hereby disclaimed.
Except as stated immediately above, nothing that has been stated or illustrated is intended or should be interpreted to cause a dedication of any component, step, feature, object, benefit, advantage, or equivalent to the public, regardless of whether it is or is not recited in the claims.
It will be understood that the terms and expressions used herein have the ordinary meaning as is accorded to such terms and expressions with respect to their corresponding respective areas of inquiry and study except where specific meanings have otherwise been set forth herein. Relational terms such as first and second and the like may be used solely to distinguish one entity or action from another without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “a” or “an” does not, without further constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.
The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it may be seen that various features are grouped together in various implementations. This is for purposes of streamlining the disclosure, and is not to be interpreted as reflecting an intention that the claimed implementations require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed implementation. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.
While various implementations have been described, the description is intended to be exemplary, rather than limiting and it will be apparent to those of ordinary skill in the art that many more implementations and implementations are possible that are within the scope of the implementations. Although many possible combinations of features are shown in the accompanying figures and discussed in this detailed description, many other combinations of the disclosed features are possible. Any feature of any implementation may be used in combination with or substituted for any other feature or element in any other implementation unless specifically restricted. Therefore, it will be understood that any of the features shown and/or discussed in the present disclosure may be implemented together in any suitable combination. Accordingly, the implementations are not to be restricted except in light of the attached claims and their equivalents. Also, various modifications and changes may be made within the scope of the attached claims.
This application claims the benefit of priority from pending U.S. Provisional Patent Application Ser. No. 62/509,769, filed on May 23, 2017, and entitled “OPTIMAL LANDMARK CONFIGURATION DETECTOR FOR BRONCHOSCOPY NAVIGATION,” which is incorporated herein by reference in its entirety.
Number | Date | Country | |
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62509769 | May 2017 | US |