Visualization method for a human skeleton from a medical scan

US9558568B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9558568-B2
Application numberUS-201514706160-A
CountryUS
Kind codeB2
Filing dateMay 7, 2015
Priority dateJun 27, 2014
Publication dateJan 31, 2017
Grant dateJan 31, 2017

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A visualization method is provided that allows for the unfolding of a human skeleton from a medical image scan and providing increased efficiency for interacting with the image scan and whole body bone reading from such scans. That is, a full head-to-toe unfolded skeleton view (e.g., a 2D unfolded view) is realized for improved visualization and diagnostic capabilities.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method for visualizing a skeleton having a plurality of bones, the method comprising: segmenting, from a three-dimensional (3D) image scan of a body including the skeleton, an image volume for the skeleton; straightening each bone of the plurality of bones based on a corresponding segmented image volume of the skeleton; and generating a two-dimensional (2D) image based on the straightened corresponding segmented image volume of each bone of the plurality of bones, the 2D image being a 2D unfolded view of a full head-to-toe unfolded skeleton view of the body. 2. The method of claim 1 further comprising: displaying the generated 2D image. 3. The method of claim 1 , wherein the straightening each bone of the plurality of bones step, further comprises: identifying a plurality of image groups from the segmented image volume of the skeleton, each image group of the plurality of image groups corresponding with one or more portions of the skeleton; and calculating a warping function for each image group of the plurality of image groups. 4. The method of claim 3 wherein a first image group of the plurality of image groups includes a spine, rib cage and pelvis, and a second image group of the plurality of image groups includes at least one arm. 5. The method of claim 4 further comprising: identifying, using the 2D image, at least one articulated motion involving particular bones of the plurality of bones; and simulating the at least one articulated motion. 6. The method of claim 5 further comprising: displaying the simulated at least one articulated motion. 7. The method of claim 2 wherein the 3D image scan comprises a computed tomography (CT) image of the body. 8. The method of claim 5 , wherein the segmenting the image volume of the skeleton step further comprises: ordering and labeling each bone of the plurality of bones. 9. A method for visualizing a skeleton having a plurality of bones, the method comprising: segmenting, from a three-dimensional (3D) image scan of a body including the skeleton, an image volume for each bone of the plurality of bones of the skeleton; straightening each bone of the plurality of bones based on its respective segmented image volume; and generating a two-dimensional (2D) image based on the respective straightened segmented image volume of each bone of the plurality of bones, the 2D image being a 2D unfolded view of a full head-to-toe unfolded skeleton view of the body. 10. The method of claim 9 further comprising: displaying the generated 2D image. 11. The method of claim 9 , wherein the straightening each bone of the plurality of bones step further comprises: identifying a plurality of image groups from the respective segmented image volume of each bone of the plurality of bones, each image group of the plurality of image groups corresponding with one or more portions of the skeleton; and calculating a warping function for each image group of the plurality of image groups. 12. The method of claim 11 wherein a first image group of the plurality of image groups includes at least one leg, and a second image group of the plurality of image groups includes a head. 13. The method of claim 9 wherein the 3D image scan comprises a magnetic resonance (MR) image of the body. 14. The method of claim 9 wherein the 3D image scan comprises a positron emission tomography-computed tomography (PET/CT) image of the body. 15. The method of claim 11 wherein the warping function for each image group preserves a spatial relationship between the one or more portions of the skeleton corresponding to such image group. 16. The method of claim 9 further comprising: identifying, using the 2D image, at least one articulated motion involving particular bones of the plurality of bones; and simulating the at least one articulated motion. 17. The method of claim 16 further comprising: displaying the simulated at least one articulated motion; and modifying the 2D image based on an input defined from the displaying of the simulated at least one articulated motion. 18. A non-transitory computer-readable medium storing computer program instructions for executing a method of visualization, the computer program instructions, when executed on a processor, cause the processor to perform operations comprising: segmenting, from a three-dimensional (3D) image scan of a body including a skeleton having a plurality of bones, an image volume for the skeleton; straightening each bone of the plurality of bones based on a corresponding segmented image volume of the skeleton; and generating a two-dimensional (2D) image based on the corresponding straightened segmented image volume of each bone of the plurality of bones, the 2D image being a 2D unfolded view of a full head-to-toe unfolded skeleton view of the body. 19. The non-transitory computer-readable medium of claim 18 wherein the operations further comprise: identifying a plurality of image groups from the segmented image volume of the skeleton, each image group of the plurality of image groups corresponding with one or more portions of the skeleton; and calculating a warping function for each image group of the plurality of image groups. 20. The non-transitory computer-readable medium of claim 19 wherein the 3D image scan comprises a computed tomography (CT) image of the body, and the operations further comprising: displaying a simulation of at least one articulated motion involving particular ones of the plurality of bones; and modifying the 2D image based on an input defined from the displaying of the simulated at least one articulated motion.

Assignees

Inventors

Classifications

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9558568B2 cover?
A visualization method is provided that allows for the unfolding of a human skeleton from a medical image scan and providing increased efficiency for interacting with the image scan and whole body bone reading from such scans. That is, a full head-to-toe unfolded skeleton view (e.g., a 2D unfolded view) is realized for improved visualization and diagnostic capabilities.
Who is the assignee on this patent?
Siemens Healthcare Gmbh
What technology area does this patent fall under?
Primary CPC classification G06T12/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 31 2017 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).