IP Library Granted Patent US 7,627,159
Granted Patent B2
US 7,627,159 · App. 11/256,864 · Granted Dec 1, 2009

2D visualization for rib analysis

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Quick Facts
Patent No.
US 7,627,159
App. No.
11/256,864
Granted
Dec 1, 2009
Kind
B2
Abstract

An exemplary method of visualization is provided. A centerline is computed for each of a plurality of ribs in a three-dimensional (3D) image. The each of the plurality of ribs is straightened based on the centerline computation. A two-dimensional (2D) image is generated based on the straightened ribs.

Claims (58)

1. A method of visualization, comprising:

receiving three-dimensional (3D) medical image data including a plurality of ribs;

segmenting a solid image volume for each of the plurality of ribs within the medical image data;

determining a centerline for each of the segmented solid rib volumes;

straightening each of the segmented solid rib volumes based on the respective centerlines; and

generating a two-dimensional (2D) image based on the straightened segmented solid rib volumes; and

displaying the generated 2D image based on the straightened segmented solid rib volumes to a user;

receiving an input from the user indicating a selection of a region of interest within the displayed 2D image; and

displaying a portion of the un-straightened solid image volume corresponding to the selected region of interest from the displayed 2D image.

2. The method of claim 1 , wherein the step of segmenting the solid image volume for each of the plurality of ribs within the medical image data, comprises:

obtaining a seed point for the each of the plurality of ribs;

tracing from the seed point in each direction of the each of the plurality of ribs; determining rib edge points of the each of the plurality of ribs; and

extracting a local contour of the each of the plurality of ribs based on the steps of tracing and data from the previous step.

3. The method of claim 2 , further comprising:

ordering and labeling the extracted contours according based on relative spatial relationships and length ratios of the extracted contours.

4. The method of claim 1 , wherein the 3D medical image data comprises a computed tomography (CT) image of a chest.

5. The method of claim 1 , wherein the step of generating a 2D image based on the straightened ribs, comprises:

performing a projection on the segmented solid rib volumes to generate the 2D image.

6. The method of claim 5 , wherein the step of performing a projection on the segmented solid rib volumes to generate the 2D image, comprises:

performing a maximum intensity projection (MIP) on the straightened ribs to generate the 2D image.

7. The method of claim 5 , wherein the step of performing a projection on the segmented solid rib volumes to generate the 2D image, comprises:

performing an average intensity projection on the segmented solid rib volumes to generate the 2D image.

8. The method of claim 1 , wherein the step of generating a 2D image based on the segmented solid rib volumes, comprising:

performing an animation on the segmented solid rib volumes to generate the 2D image.

9. A computer-readable medium having instructions stored thereon for execution by a processor to perform a method of visualization, the method comprising:

receiving three-dimensional (3D) medical image data including a plurality of ribs;

segmenting a solid image volume for each of the plurality of ribs within the medical image data;

determining a centerline for each of the segmented solid rib volumes;

straightening each of the segmented solid rib volumes based on the respective centerlines; and

generating a two-dimensional (2D) image based on the straightened segmented solid rib volumes; and

displaying the generated 2D image based on the straightened segmented solid rib volumes to a user;

receiving an input from the user indicating a selection of a region of interest within the displayed 2D image; and

displaying a portion of the un-straightened solid image volume corresponding to the selected region of interest from the displayed 2D image.

10. The computer-readable medium of claim 9 , wherein the step of segmenting the solid image volume for each of the plurality of ribs within the medical image data, comprises:

obtaining a seed point for the each of the plurality of ribs;

tracing from the seed point in each direction of the each of the plurality of ribs;

determining rib edge points of the each of the plurality of ribs; and

extracting a local contour of the each of the plurality of ribs based on the steps of tracing and data from the previous step.

11. The computer-readable medium of claim 9 , further comprising:

ordering and labeling the extracted contours according based on relative spatial relationships and length ratios of the extracted contours.

12. The computer-readable medium of claim 9 , wherein the 3D medical image data comprises a computed tomography (CT) image of a chest.

13. The computer-readable medium of claim 9 , wherein the step of generating a 2D image based on the straightened ribs, comprises:

performing a projection on the segmented solid rib volumes to generate the 2D image.

14. The computer-readable medium of claim 9 , wherein the step of performing a projection on the segmented solid rib volumes to generate the 2D image, comprises:

performing a maximum intensity projection (MIP) on the straightened ribs to generate the 2D image.

15. The computer-readable medium of claim 9 , wherein the step of performing a projection on the segmented solid rib volumes to generate the 2D image, comprises:

performing an average intensity projection on the segmented solid rib volumes to generate the 2D image.

16. The computer-readable medium of claim 9 , wherein the step of generating a 2D image based on the segmented solid rib volumes, comprising:

performing an animation on the segmented solid rib volumes to generate the 2D image.

17. A method of visualization, comprising:

receiving three-dimensional (3D) medical image data including a plurality of ribs;

segmenting a solid image volume for each of the plurality of ribs within the medical image data;

determining a centerline for each of the segmented solid rib volumes;

straightening each of the segmented solid rib volumes based on the respective centerlines;

displaying the straightened segmented solid rib volumes to a user;

receiving an input from the user indicating a selection of a region of interest within the displayed straightened segmented solid rib volumes; and

displaying a portion of the un-straightened solid image volume corresponding to the selected region of interest from the displayed straightened segmented solid rib volumes.

18. The method of claim 17 , wherein the corresponding portion of the un-straightened solid image volume is displayed in axial slices.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 17, 2007
From: SIEMENS CORPORATE RESEARCH, INC.
To: SIEMENS MEDICAL SOLUTIONS USA, INC.
Reel/Frame 019309/0669 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 21, 2006
From: KIRALY, ATILLA PETER; SHEN, HONG
To: SIEMENS CORPORATE RESEARCH, INC.
Reel/Frame 018144/0527 →