System and method for performing a three-dimensional virtual examination of objects, such as internal organs

• US 7,474,776 B2
• Filed: 12/20/2006
• Issued: 01/06/2009
• Est. Priority Date: 09/16/1996
• Status: Expired due to Fees

• Current Assignee: The Research Foundation of State University of New York
• Original Assignee: The Research Foundation of State University of New York
• Inventors: Li, Bin, Liang, Zhengrong, Wax, Mark R., Chen, Dongqing, Kaufman, Arie E., Wan, Ming
• Primary Examiner(s): AZARIAN, SEYED H
• Application Number:
  US11/613,283
• Publication Number:
  US 20070167718A1
• Time in Patent Office: 748 Days
• Field of Search: 382/100, 382/128, 382129-134, 382/154, 382/168, 382/181, 382/194, 382/199, 382/203, 382/216, 382/221, 382/285, 382/286, 382/291, 382/316, 382/274, 382/305, 382/173, 382/224, 382/232, 382/254, 382/276, 356/38, 356/39, 378/28, 378/41, 378/46, 378/21, 600/410, 600/560, 600/407, 345/424, 345/421, 377/10, 377/11
• US Class Current: 382/128
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: A61B 8/483 involving the acquisition of a 3D volume of data
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 19/00 Manipulating 3D models or images for computer graphics
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/30028 Colon; Small intestine
• CPC Class Codes: G06T 2207/30084 Kidney; Renal
• CPC Class Codes: G06T 2207/30172 Centreline of tubular or elongated structure
• CPC Class Codes: G06T 2210/41 Medical
• CPC Class Codes: G06T 2219/028 Multiple view windows (top-side-front-sagittal-orthogonal)
• CPC Class Codes: G06T 2219/2004 Aligning objects, relative positioning of parts
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G09B 23/28 for medicine

Abstract

Methods for generating a three-dimensional visualization image of an object, such as an internal organ, using volume visualization techniques are provided. The techniques include a multi-scan imaging method; a multi-resolution imaging method; and a method for generating a skeleton of a complex three dimension object. The applications include virtual cystoscopy, virtual laryngoscopy, virtual angiography, among others.

Claims

1. A method for performing virtual examination of an object comprising:

performing at least one scan of an object with the object distended by the presence of a contrast agent;

performing at least one scan of the object with the object relieved of the contrast agent;

converting the scans to corresponding volume datasets comprising a plurality of voxels;

performing image segmentation to classify the voxels of each scan into a plurality of categories;

registering the volume datasets of each scan to a common coordinate system;

displaying at least two of the volume datasets in a substantially simultaneous manner;

performing virtual navigation operations in one of the volume datasets and having the corresponding navigation operations take place in at least one other volume dataset; and

evaluating the at least one scan with the object distended and the at least one scan with the object relieved to identify regions where contrast is more visible in one of said scans and evaluating the scan with more contrast in a region of interest to determine physiological characteristics of the object, wherein said step of image segmentation includes classifying voxels based on local intensity vectors of the voxels and further includes using a region growing algorithm to identify regions of the object based on the classified voxels.

2. The method for performing virtual examination according to claim 1, wherein the at least one scan of the distended object includes a transverse scan and a coronal scan of the object.

3. The method for performing virtual examination according to claim 2, wherein the at least one scan of the relieved object includes a transverse scan and a coronal scan of the object.

4. The method for performing virtual examination according to claim 3, wherein the object is a bladder.

5. The method of performing virtual examination according to claim 4, wherein the scans are computed tomography scans.

6. The method of performing virtual examination according to claim 4, wherein the scans are ultrasound imaging scans.

7. The method of performing virtual examination according to claim 4, wherein the scans are magnetic resonance imaging scans.

8. The method of performing virtual examination according to claim 7, wherein the contrast agent is urine.

9. The method for performing virtual examination according to claim 1, wherein the at least one scan of the relieved object includes a transverse scan and a coronal scan of the object.

10. The method for performing virtual examination according to claim 1, wherein the object is a bladder.

11. The method of performing virtual examination according to claim 10, wherein the scans are computed tomography scans.

12. The method of performing virtual examination according to claim 10, wherein the scans are ultrasound imaging scans.

13. The method of performing virtual examination according to claim 10, wherein the scans are magnetic resonance imaging scans.

14. The method of performing virtual examination according to claim 13, wherein the contrast agent is urine.

15. The method of performing virtual examination according to claim 1, further comprising partitioning the volume image datasets into a plurality of regions related to the coordinate system.

16. A method for performing virtual examination of an object comprising:

performing at least one scan of an object with the object distended by the presence of a contrast agent;

performing at least one scan of the object with the object relieved of the contrast agent;

converting the scans to corresponding volume datasets comprising a plurality of voxels;

performing image segmentation to classify the voxels of each scan into a plurality of categories;

registering the volume datasets of each scan to a common coordinate system;

displaying at least two of the volume datasets in a substantially simultaneous manner;

performing virtual navigation operations in one of the volume datasets and having the corresponding navigation operations take place in at least one other volume dataset, and

partitioning the volume image datasets into a plurality of regions related to the coordinate system, wherein the plurality of regions include eight regions defined in a three dimensional coordinate system.

17. A method for performing virtual examination of an object comprising:

performing an imaging scan of the object to acquire image scan data;

converting the acquired image scan data to a plurality of voxels;

interpolating between the voxels to generate an expanded dataset;

performing image segmentation to classify the voxels into a plurality of categories;

extracting a volume of the object interior from the expanded dataset;

generating a reduced resolution dataset from the expanded dataset;

storing the expanded dataset in a tree data structure;

rendering images for the expanded dataset and reduced resolution dataset;

selecting at least one of the reduced resolution dataset or expanded dataset renderings for display.

18. The method for performing virtual examination of an object of claim 17, wherein the selecting step comprises:

selecting the reduced resolution dataset during image interaction; and

selecting the expanded dataset rendering if no image interaction has occurred in a predetermined time period.

19. The method for performing virtual examination of an object of claim 17, wherein the imaging scan is a computed tomography scan.

20. The method for performing virtual examination of an object of claim 17, wherein the imaging scan is a magnetic resonance imaging scan.

21. The method for performing virtual examination of an object of claim 17, wherein the imaging scan is an ultrasound imaging scan.

22. The method for performing virtual examination of an object of claim 17, wherein the object is the larynx.

23. The method for performing virtual examination of an object of claim 17, wherein the tree structure is a binary space partition tree structure.