Methods and systems for identifying anatomical landmarks in image data

US10235757B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10235757-B2
Application numberUS-201515124988-A
CountryUS
Kind codeB2
Filing dateMar 10, 2015
Priority dateMar 10, 2014
Publication dateMar 19, 2019
Grant dateMar 19, 2019

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Abstract

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Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament (MCL) posterior cruciate ligament (PCL), or patellar tendon attaches to the tibia may be identified. The systems, devices, and methods allow for tracing of an anatomical landmark to generate a 3-D marking on a 3-D surface model of a patient's bone. The attachment points may be useful landmarks for patient-matched instrumentation.

First claim

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What is claimed is: 1. A method for locating anatomical landmarks in image data, comprising: receiving, at a processor, image data representative of a patient's joint, wherein the image data comprises images slices taken in parallel image planes selected from one of sagittal planes, coronal planes, or axial planes of the patient; identifying a first point and a second point along a length of a ligament represented in at least one of the image slices; identifying, with the processor, one of a line or a curve that connects the first point and the second point; identifying, with the processor, a set of planes comprising (i) an oblique plane intersecting and normal to the line or the curve and (ii) at least one other plane parallel to the oblique plane, wherein the oblique plane is oblique to the parallel image planes; generating, with the processor and based on the image data, a set of reformatted images sampled along the set of planes oblique to the parallel image planes; tracing a feature of the ligament within the set of reformatted images oblique to the parallel image planes; and generating, with the processor, a 3-D marking representing the traced feature on a 3-D model. 2. The method of claim 1 , wherein tracing the feature comprises tracing the feature in two or more of the reformatted images. 3. The method of claim 1 , wherein tracing the feature comprises: displaying a first reformatted image on a screen; and displaying a second reformatted image on the screen, wherein the second reformatted image is parallel to and offset from the first reformatted image. 4. The method of claim 1 , wherein tracing the feature comprises outlining a cross-section of the feature in a reformatted image from the set of reformatted images. 5. The method of claim 1 , wherein tracing the feature comprises storing data representing the tracing in a matrix. 6. The method of claim 1 , wherein generating the set of reformatted images comprises: identifying, with the processor, four corners of the oblique plane; generating, with the processor, texture coordinates using the corner locations; and interpolating, with the processor, pixel intensities for the texture coordinates using the image data. 7. A method for locating anatomical landmarks in image data, comprising: receiving, at a processor, image data representative of a patient's joint, wherein the image data comprises images slices taken in parallel image planes selected from one of sagittal planes, coronal planes, or axial planes of the patient; identifying an attachment point of a ligament to the patient's bone represented in at least one of the image slices; identifying a midpoint along a longitudinal axis of the ligament represented in the at least one of the image slices; identifying, with the processor, a base oblique plane normal to a line connecting the attachment point and the midpoint; identifying, with the processor, a set of planes orthogonal to the base oblique plane; generating, with the processor and based on the image data, a set of reformatted images sampled along the set of planes orthogonal to the base oblique plane; tracing a feature of the ligament within the set of reformatted images orthogonal to the base oblique plane; and generating, with the processor, a 3-D marking representing the traced feature on a 3-D model. 8. The method of claim 7 , wherein the ligament is an anterior cruciate ligament ACL, a medical collateral ligament MCL, or a posterior cruciate ligament PCL of a patient. 9. The method of claim 7 , wherein the 3-D model is a model of a patient's bone. 10. The method of claim 7 , wherein the 3-D model is a model of a patient's tibia. 11. The method of claim 7 , wherein the 3-D model is displayed with the image data to orient a user. 12. The method of claim 1 , wherein the first point is an attachment point of the ligament to the patient's bone and the second point is a midpoint of the ligament. 13. The method of claim 1 , wherein the oblique plane intersects the first point. 14. The method of claim 1 , wherein tracing the feature comprises identifying both ends of the ligament.

Assignees

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Classifications

  • for calculating health indices; for individual health risk assessment · CPC title

  • Multiple view windows (top-side-front-sagittal-orthogonal) · CPC title

  • Cut plane or projection plane definition · CPC title

  • Annotating, labelling · CPC title

  • Manipulating three-dimensional [3D] models or images for computer graphics · CPC title

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What does patent US10235757B2 cover?
Systems, devices, and methods are described for locating and identifying anatomical landmarks, such as ligament attachment points, in image data. These systems, devices, and methods may provide an oblique plane that contains an anatomical landmark such as a ligament attachment point to the tibia. For example, the position at which the anterior cruciate ligament (ACL), medial collateral ligament…
Who is the assignee on this patent?
Smith & Nephew Inc
What technology area does this patent fall under?
Primary CPC classification A61B6/032. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Mar 19 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).