Multi-structure atlas and/or use thereof

• US 10,083,527 B2
• Filed: 04/19/2017
• Issued: 09/25/2018
• Est. Priority Date: 10/09/2012
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Dwivedi, Shekhar
• Primary Examiner(s): Liew, Alex
• Application Number:
  US15/491,126
• Publication Number:
  US 20170221231A1
• Time in Patent Office: 524 Days
• Field of Search: 382128-134
• CPC Class Codes: G06T 11/005 Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G06T 2207/20128 Atlas-based segmentation
• CPC Class Codes: G06T 2207/30008 Bone
• CPC Class Codes: G06T 2207/30061 Lung
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/11 Region-based segmentation

Abstract

An image data processor (106) includes a structural image data processor (114) that employs a multi-structure atlas to segment a region of interest from structural image data that includes tissue of interest and that segments the tissue of interests from the region of interest. The image data processor further includes functional image data processor (116) that identifies the tissue of interest in functional image data based on the segmented tissue of interest. An image data processor includes a multi-structure atlas generator (104) that generates a multi-structure atlas. The multi-structure atlas physically maps structure to tissue of interest such that locate the structure in structural image data based on the multi-structure atlas localizes the tissue of interest to the region of interest.

Claims

1. An apparatus, comprising:

a processor that generates a single multi-structure atlas, wherein the single multi-structure atlas physically maps a first anatomical structure to a second different anatomical structure in the anatomical frame of reference of the first anatomical structure and the second different anatomical structure with respect to each other, such that locating the first anatomical structure in structural image data using the single multi-structure atlas identifies the second different anatomical structure in the structural image data.

2. The apparatus of claim 1, wherein the multi-structure atlas spatially maps the first structure to the second different structure in their anatomical frame of reference with respect to each.

3. The apparatus of claim 1, wherein the multi-structure atlas does not include only a single anatomical organ.

4. The apparatus of claim 1, wherein the processor registers the structural image data with functional image data and identifies the second different structure in the functional image data based on the registration.

5. The apparatus of claim 4, wherein the processor further quantifies functional information in the identified second different structure in the functional image data.

6. The apparatus of claim 1, wherein the first structure of interest includes a rib.

7. The apparatus of claim 6, wherein the second different structure of interest includes a lung.

8. The apparatus of claim 7, wherein the multi-structure atlas maps the rib to a location of a boundary of a lung lobe.

9. The apparatus of claim 8, wherein the mapping includes a lung lobe region of interest in a form of a least one of a point cloud on a surface of the lung or a 3D sheet across lung through a rib case/lung lobe atlas.

10. An apparatus, comprising:

a processor that generates a single multi-structure atlas by mapping a physical spatial location of structure of interest segmented from structural image data to tissue of interest segmented from the structural image data, wherein the generated single multi-structure atlas physically maps the structure of interest to the tissue of interest such that locating the structure of interest in the structural image data based on the single multi-structure atlas identifies the tissue of interest in the structural image data.

11. The apparatus of claim 10, the processor further configured to:

automatically segment the structure from the structural image data based on a predetermined algorithm;

segment the tissue of interest from the structural image data with user interaction;

and

generate the multi-structure atlas based on a plurality of maps, wherein each map corresponds to sub-set of the image data for at least one of a different examination or a different subject.

12. The apparatus of claim 11, the processor further configured to:

employ the multi-structure atlas to segment a region of interest from structural image data under evaluation which includes the tissue of interest and that segments the tissue of interests from the region of interest; and

register the structural image data and the functional image data and that identifies the tissue of interest in the functional image data based on the segmented tissue of interest and the registered image data.

13. The apparatus of claim 12, the processor further configured to:

quantify functional information in the identified tissue of interest.

14. The apparatus of claim 10, wherein the structure of interest is a first structure and tissue of interest is a second different structure.

15. The apparatus of claim 10, wherein the multi-structure atlas does not include only a single anatomical organ.

16. A method, comprising:

generating a single multi-structure atlas by mapping a physical spatial location of structure segmented from structural image data to tissue of interest segmented from the structural image data, wherein the generated single multi-structure atlas physically maps the structure to the tissue of interest such that locating the structure in the structural image data based on the single multi-structure atlas identifies the tissue of interest in the structural image data.

17. The method of claim 16, further comprising:

automatically segmenting the structure from the structural image data based on a predetermined algorithm;

segmenting the tissue of interest segmentor from the structural image data under user interaction;

and

generating the multi-structure atlas based on a plurality of mappings, each corresponding to a different sub-set of the image data.

18. The method of claim 17, further comprising:

employing the multi-structure atlas to segment a region of interest from structural image data that includes tissue of interest and that segments the tissue of interests from the region of interest; and

registering the structural image data and the functional image data; and

identifying the tissue of interest in the functional image data based on the segmented tissue of interest and the registered image data.

19. The method of claim 17, further comprising:

quantifying functional information in the identified tissue of interest.

20. The method of claim 16, wherein the structure of interest is a first structure and tissue of interest is a second different structure.