Method and system for progressive multi-resolution three-dimensional image reconstruction using region of interest information

• US 7,734,119 B2
• Filed: 09/21/2004
• Issued: 06/08/2010
• Est. Priority Date: 09/21/2004
• Status: Active Grant

• Current Assignee: Intuitive Surgical Operations, Inc. (Intuitive Surgical Holdings, LLC)
• Original Assignee: General Electric Company
• Inventors: Cheryauka, Arvidas Bronislavovich, Jensen, Vernon Thomas
• Primary Examiner(s): Le; Long V
• Assistant Examiner(s): Selkin; Saurel J
• Application Number:
  US10/945,770
• Publication Number:
  US 20060061570A1
• Time in Patent Office: 2,086 Days
• Field of Search: 600/407, 600/425, 382/285, 382162-167, 382/128, 382/131, 382/154, 382/240, 382/302
• US Class Current: 382/302
• CPC Class Codes: G06T 11/006 Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
• CPC Class Codes: G06T 2211/428 Real-time

Abstract

The present invention provides a method and system for progressive multi-resolution three-dimensional image reconstruction using region of interest information. The method and system significantly reduces the amount of time required to display high quality three-dimensional fluoroscopic images by utilizing progressive multi-resolution image reconstruction techniques. In addition, by employing manual or automated selection of one or more regions of interest in which to focus the progressive image reconstruction, high quality 3D images of region(s) of interest may be obtained soon after image data acquisition.

Claims

1. A method for progressive multi-resolution 3D image reconstruction, said method including:

acquiring a plurality of input two-dimensional images;

calculating an initial three-dimensional image based on at least one of said input images, said initial three-dimensional image including a plurality of voxels, and

reconstructing three-dimensional image data in a subset of said voxels of said initial three-dimensional image to create a higher resolution three-dimensional image in a displayed image area corresponding to said voxel subset.

2. The method of claim 1, wherein said input images each include image data for a two dimensional image.

3. The method of claim 1, wherein said initial three-dimensional image is a low-resolution image.

4. The method of claim 1, wherein said reconstructing step includes updating said three-dimensional image data in each of said voxels included in said subset on a voxel-by-voxel basis.

5. The method of claim 1, wherein said higher resolution three-dimensional image includes a higher resolution image than said initial three-dimensional image.

6. The method of claim 1, where said subset of voxels includes a region of interest.

7. The method of claim 6, wherein said region of interest includes at least one of a patient anatomy, a medical instrument, a medical implant, an image region of higher clinical value than a remainder of said image, and an image region including a smaller image distortion perspective.

8. The method of claim 1, further including automatically determining said voxel subset based on at least one or more of a center of said initial image, an anatomical mass, and an S-distortion correction.

9. The method of claim 1, further including progressively increasing a size of said voxel subset.

10. The method of claim 1, wherein said input images are fluoroscopic images.

11. A system for progressive multi-resolution 3D image reconstruction, said system including:

an imaging modality acquiring a plurality of input two-dimensional images; and

an image processing unit performing the steps of;

calculating an initial three-dimensional image based on at least one of said input images, said initial three-dimensional image including a plurality of voxels, and

reconstructing three-dimensional image data in a subset of said voxels of said initial three-dimensional image to create a higher resolution three-dimensional image in an area of a displayed image corresponding to said voxel subset.

12. The system of claim 11, wherein said input images each include image data for a two dimensional image.

13. The system of claim 11, further including a display device displaying said initial three-dimensional image.

14. The system of claim 11, wherein said reconstructing step includes updating said three-dimensional image data in each of said voxels included in said subset on a voxel-by-voxel basis.

15. The system of claim 11, wherein said higher resolution three-dimensional image includes a higher resolution image than said initial three-dimensional image.

16. The system of claim 11, where said subset of voxels includes a region of interest.

17. The system of claim 16, wherein said region of interest includes at least one of a patient anatomy, a medical instrument, a medical implant, an image region of higher clinical value than a remainder of said image, and an image region including a smaller image distortion perspective.

18. The system of claim 11, wherein said image processing unit automatically determines said voxel subset based on at least one or more of a center of said initial image, an anatomical mass, and an S-distortion correction.

19. The system of claim 11, wherein said image processing unit progressively increases a size of said voxel subset.

20. The system of claim 11, wherein said input images are fluoroscopic images.

21. A method for progressive fluoroscopic image reconstruction, said method including:

acquiring a plurality of input two-dimensional images;

calculating an initial three-dimensional image based on at least one of said input images;

reconstructing a three-dimensional image in a subset of said voxels of said initial three-dimensional image to create a higher resolution three-dimensional image in an area of a displayed image corresponding to said voxel subset;

updating said higher resolution three-dimensional image based on at least one other input image, said updating occurring on a voxel-by-voxel basis; and

displaying said updated higher resolution three-dimensional image.

22. The method of claim 21, further including automatically selecting a region of interest, wherein said updating step occurs only for a set of voxels corresponding to said region of interest.

23. The method of claim 21, further including automatically selecting a region of interest, wherein said updating step progressively spreads from a set of voxels corresponding to said region of interest to a remainder of said three-dimensional image.