System and method for atlas registration

• US 9,207,845 B2
• Filed: 03/27/2012
• Issued: 12/08/2015
• Est. Priority Date: 03/29/2011
• Status: Active Grant

• Current Assignee: Boston Scientific Neuromodulation Corporation (Boston Scientific Corporation)
• Original Assignee: Boston Scientific Neuromodulation Corporation (Boston Scientific Corporation)
• Inventors: Carlton, Keith, Blum, David Arthur, Moffitt, Michael A., Kokones, Scott
• Primary Examiner(s): PARK, SOO JIN
• Application Number:
  US13/431,232
• Publication Number:
  US 20120314924A1
• Time in Patent Office: 1,351 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 34/25 User interfaces for surgical systems
• CPC Class Codes: A61N 1/36128 Control systems
• CPC Class Codes: A61N 1/37247 User interfaces, e.g. input or presentation means
• CPC Class Codes: F04C 2270/041 Controlled or regulated
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06F 3/04815 Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
• CPC Class Codes: G06F 3/04845 for image manipulation, e.g. dragging, rotation, expansion or change of colour
• CPC Class Codes: G06T 11/003 Reconstruction from projections, e.g. tomography
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 15/005 General purpose rendering architectures
• 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 19/003 Navigation within 3D models or images
• CPC Class Codes: G06T 2200/04 involving 3D image data
• CPC Class Codes: G06T 2200/24 involving graphical user interfaces [GUIs]
• CPC Class Codes: G06T 2207/10064 Fluorescence image
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/10088 Magnetic resonance imaging [MRI]
• CPC Class Codes: G06T 2207/10092 Diffusion tensor magnetic resonance imaging [DTI]
• CPC Class Codes: G06T 2207/30016 : Brain
• CPC Class Codes: G06T 2219/028 : Multiple view windows (top-side-front-sagittal-orthogonal)
• CPC Class Codes: G06T 3/40 : Scaling of whole images or parts thereof, e.g. expanding or contracting
• CPC Class Codes: G06T 3/4038 : Image mosaicing, e.g. composing plane images from plane sub-images
• CPC Class Codes: G06T 7/0012 : Biomedical image inspection
• CPC Class Codes: G06T 7/30 : Determination of transform parameters for the alignment of images, i.e. image registration
• CPC Class Codes: G06T 7/33 : using feature-based methods
• CPC Class Codes: G06T 7/38 : Registration of image sequences
• CPC Class Codes: G16H 20/40 : relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 30/20 : for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 : for processing medical images, e.g. editing

Abstract

A system and method for associating anatomically significant regions with regions of one or more images may include automatically modifying images of different modalities according to different correction algorithms, providing a user interface for identifying a plane within three-dimensional data, scaling atlas structures to fit an anatomical image according to identified landmarks, registering an atlas to such an image via a combination of registration algorithms, and/or registering an atlas to such an image using a feature extraction algorithm.

Claims

1. A system for associating anatomical information with image data, the system comprising:

a computer processor configured to;

obtain, via user input, an identification of a location of an anatomical landmark within a three-dimensional space formed by the image data, wherein the image data includes a first image that is of a first two-dimensional slice of the three-dimensional space and a second image that is of a second two-dimensional slice of the three-dimensional space, the second two-dimensional slice being orthogonal to the first two-dimensional slice;

record the identified location in association with the image data; and

display a first graphical representation of the anatomical landmark overlying a display area in which the first image is displayed and a second graphical representation of the anatomical landmark overlying a display area in which the second image is displayed;

wherein the user input includes one of;

an instruction for rotating the first image relative to the first graphical representation of the anatomical landmark and an instruction for rotating the second image relative to the second graphical representation of the anatomical landmark; and

an instruction for rotating the first graphical representation of the anatomical landmark relative to the first image and an instruction for rotating the second graphical representation of the anatomical landmark relative to the second image.

2. The system of claim 1, wherein the anatomical landmark is a predefined plane.

3. The system of claim 2, wherein the image data is of a brain and the plane is a mid-sagittal plane (MSP).

4. A system for associating anatomical information with image data, the system comprising:

a computer processor configured to;

obtain user input of a location of an anatomical landmark within a three-dimensional space formed by the image data, wherein the anatomical landmark is a predefined plane, and the user input includes selection of three points within the three-dimensional space, at least two of the three points being selected in different displayed imagoes; and

in response to the selection of the three points, update a display area in which an image in which none of the three points is selected is displayed to display a different image that corresponds to the plane.

5. The system of claim 4, wherein the image data is of a brain and the plane is a mid-sagittal plane (MSP).

6. A system for associating anatomical information with image data, the system comprising:

a computer processor configured to;

obtain locations of at least two anatomical landmarks within a three-dimensional space formed by the image data;

register an anatomical structure atlas to an anatomical region represented in the image data based on the obtained locations of the at least two anatomical landmarks;

wherein;

the registration includes;

aligning the anatomical structure atlas with the image data; and

in accordance with the obtained location, scaling the anatomical structure atlas;

the scaling includes modifying the anatomical atlas structure such that at least two anatomical landmarks of the anatomical atlas structure, that correspond to the at least two anatomical landmarks whose locations were obtained, are offset from a predefined anatomical structure of the anatomical structure atlas relative to other structures of the anatomical structure atlas equal to an offset of the obtained locations of the at least two anatomical landmarks to a location defined in the image data as corresponding to the predefined structure, relative to remaining portions of the anatomical region represented in the image data.

7. The system of claim 6, wherein the processor is configured to record the scaled anatomical structure atlas in association with a subject to whom the anatomical region belongs.

8. The system of claim 6, wherein the predefined anatomical structure is a mid-commissural point (MCP).

9. A system for associating anatomical information with image data, the system comprising:

a computer processor configured to;

obtain an identification of locations of an anterior commissure (AC) point and a posterior commissure (PC) point within a three-dimensional space formed by the image data;

select a point between the AC point and the PC point as a mid-commissural point (MCP) defined in an anatomical region represented in the image data; and

register an anatomical structure atlas to the anatomical region represented in the image data, wherein the registration includes;

aligning the anatomical structure atlas with the image data based on the selection; and

based on a distance between the MCP defined in the anatomical region and the identified AC point and PC point, scaling the anatomical structure atlas.

10. The system of claim 9, wherein the anatomical structure atlas is non-linearly scaled, such that, the further a region of the anatomical structure atlas is from the MCP, the less the region is modified by the scaling.

11. The system of claim 9, wherein the anatomical structure atlas is anisotropically scaled.

12. A system for associating anatomical information with image data of a patient, the system comprising:

a computer processor configured to;

obtain a location of an anatomical landmark within a three-dimensional space formed by the image data; and

generate a patient-specific anatomical atlas, wherein the generation includes at least one of;

(A) registering an anatomical atlas to the patient image data with a combination of a rigid registration, an affine registration, and a B-spline registration; and

(B) performing the following;

registering each of a plurality of anatomical atlases to the patient image data;

determining similarities between image data corresponding to the plurality of anatomical atlases and the patient image data; and

in accordance with the determined similarities, combining at least two of the registered anatomical atlases.

13. The system of claim 12, wherein the generation includes (B), and the plurality of anatomical atlases are image data sets corresponding to a patient population, atlas structures having been previously defined in the image data sets.

14. The system of claim 12, wherein the generation includes (B), and different weights are applied to different ones of the at least two anatomical atlases corresponding to different degrees of similarity between the different ones of the at least two anatomical atlases and the patient image data.

15. The system of claim 12, wherein the generation includes (B), and the registration further includes applying the rigid registration.

16. The system of claim 15, wherein the registration further includes applying the affine registration.

17. The system of claim 16, wherein the registration further includes applying the B-spline registration.

18. The system of claim 17, wherein the affine registration is applied subsequent to the application of the rigid registration.

19. The system of claim 17, wherein the registration further includes performing a skull stripping on the image data prior to the application of the rigid registration.

20. The system of claim 15, wherein the registration further includes performing a skull stripping on the image data prior to the application of the rigid registration.

21. The system of claim 12, wherein the generation includes (A), and one of:

the rigid registration is followed by the affine registration, and the affine registration is followed by the B-spline registration; and

the processor is further configured to strip skull data from the image data prior to the rigid registration.

22. The system of claim 12, wherein the generation includes (A).

23. The system of claim 12, wherein the generation includes (B).

24. A system for associating anatomical information with image data that represents an anatomical region, the system comprising:

a computer processor configured to;

obtain a location of at least two anatomical landmarks within a three-dimensional space formed by the image data;

align an anatomical structure atlas with the image data; and

in accordance with the obtained location, scale the anatomical structure atlas;

wherein one of;

the scaling of the anatomical structure atlas is non-linear, such that the further a region of the anatomical structure atlas is from a defined mid-commissural point (MCP), the less the region is modified by the scaling;

the anatomical structure atlas is anisotropically scaled, the anatomical structure atlas is of a brain, and the scaling includes modifying the anatomical structure atlas in each of left and right directions and a superior and inferior directions by approximately 0.8 an amount by which the anatomical structure atlas is modified in anterior and posterior directions; and

the anatomical structure atlas is anisotropically scaled, the anatomical structure atlas is of the brain, and the scaling includes modifying the anatomical structure atlas in each of the left and right directions and the superior and inferior directions by 0.8 the amount by which the anatomical structure atlas is modified in the anterior and posterior directions, plus 0.2.

25. The system of claim 24, wherein the non-linear scaling is performed.

26. The system of claim 24, wherein the anatomical structure atlas is of the brain, and the scaling includes the modification of the anatomical structure atlas in each of the left and right directions and the superior and inferior directions by approximately 0.8 the amount by which the anatomical structure atlas is modified in the anterior and posterior directions.

27. The system of claim 24, wherein the anatomical structure atlas is of the brain, and the scaling includes the modification of the anatomical structure atlas in each of the left and right directions and the superior and inferior directions by 0.8 the amount by which the anatomical structure atlas is modified in the anterior and posterior directions, plus 0.2.