Method for optimally visualizing a morphologic region of interest of a bone in an x-ray image

US2016235381A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016235381-A1
Application numberUS-201415027805-A
CountryUS
Kind codeA1
Filing dateOct 8, 2014
Priority dateOct 8, 2013
Publication dateAug 18, 2016
Grant date

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.

The invention relates to a method for optimally visualizing a morphologic region of interest of a bone in an X-ray image of a patient, comprising:—receiving a set of 3D medical images of the bone,—creating a 3D bone model of at least part of the bone comprising said region of interest from said set of 3D images,—determining a criterion representative of a visualization of the extent of said morphologic region of interest,—automatically determining from the 3D bone model optimal relative bone and X-ray orientation so as to optimize said criterion for said patient,—creating at least one virtual X-ray image of the bone from said set of 3D images according to said optimal relative bone and virtual X-ray orientation.

First claim

Opening claim text (preview).

1 . Method for optimally visualizing a morphologic region of interest of a bone in an X-ray image of a patient, comprising: receiving a set of 3D medical images of the patient's hone, creating a 3D bone model of at least part of the bone comprising said region of interest from said set of 3D images, determining a criterion representative of a visualization of the extent of said morphologic region of interest, automatically determining from the 3D bone model optimal relative bone and X-ray orientation so as to optimize said criterion for said patient, and creating at least one virtual X-ray image of the bone from said set of 3D images according to said optimal relative bone and virtual X-ray orientation. 2 . Method according to claim 1 , comprising creating the at least one virtual X-ray image by projecting 3D bone voxel density of the set of 3D images according to said optimal relative orientation. 3 . Method according to claim 1 , wherein the morphologic region of interest comprises a bone deformity, an implant and/or a fracture. 4 . Method according to claim 1 , wherein the bone is a femur and the morphologic region of interest comprises a femoral neck deformity responsible for cam type femoro acetabular impingement. 5 . Method according to claim 3 , comprising computing and displaying a virtual resection of the bone onto the 3D bone model to simulate correction of a bone deformity. 6 . Method according to claim 1 , wherein the bone forms part of a joint and the set of 3D medical images comprises 3D images of the joint, wherein the method comprises: creating a 3D bone model of at least part of each bone of the joint including the morphologic region of interest from said set of 3D images, assigning to the hone joint a kinematic joint model, and automatically determining from the 3D bone model optimal relative bone and X-ray orientation in accordance with the kinematic joint model so as to optimize said criterion. 7 . Method according to claim 6 , wherein the kinematic joint model is a ball-and-socket model. 8 . Method according to claim 6 , wherein the criterion is the alpha angle defined as the angle between the hemi-line from the femoral sphere center in the direction of the neck axis and the radius from femoral sphere center and a point of the femoral head-neck junction, and wherein optimizing the criterion comprises determining the maximum alpha angle. 9 . Method according to claim 8 , comprising determining a radius connecting the femoral head center and the point of the circumference of the femoral head-neck junction where said alpha angle is maximum, wherein optimal relative bone and X-ray orientation is obtained when the plane defined by the maximum alpha angle radius and the femoral neck. axis is perpendicular to the X-ray orientation. 10 . Method according to claim 1 , wherein the set of 3D images comprises CT images, MR images and/or ultrasound images. 11 . Computer program product comprising computer-readable instructions which, when loaded and executed on a suitable system, perform the steps of the method according to claim 1 . 12 . Method of intra-operative X-ray imaging of a morphologic region of interest of a bone of a patient, wherein patient-specific optimal relative bone and X-ray orientation is determined by the method according to one of claims 1 to 10 , and X-ray imaging is carried out in accordance with said optimal relative bone and X-ray orientation.

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 US2016235381A1 cover?
The invention relates to a method for optimally visualizing a morphologic region of interest of a bone in an X-ray image of a patient, comprising:—receiving a set of 3D medical images of the bone,—creating a 3D bone model of at least part of the bone comprising said region of interest from said set of 3D images,—determining a criterion representative of a visualization of the extent of said mor…
Who is the assignee on this patent?
Smith & Nephew Inc, A+h 2 +l SURGICAL
What technology area does this patent fall under?
Primary CPC classification A61B6/505. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Aug 18 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).