Tissue disorder imaging analysis

• US 8,805,619 B2
• Filed: 10/28/2003
• Issued: 08/12/2014
• Est. Priority Date: 10/28/2002
• Status: Active Grant

• Current Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Original Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Inventors: Sorensen, Gregory, Menezes, Nina M., Ay, Hakan
• Primary Examiner(s): SIMS, JASON M
• Application Number:
  US10/532,885
• Publication Number:
  US 20060142983A1
• Time in Patent Office: 3,941 Days
• Field of Search: None
• US Class Current: 702/19
• CPC Class Codes: A61B 5/0042 for the brain
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/4064 Evaluating the brain A61B5/031, A61B5/369, A61B5/14553 take precedence
• CPC Class Codes: A61B 5/4076 Diagnosing or monitoring particular conditions of the nervous system A61B5/4821, A61B5/4824 take precedence
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
• CPC Class Codes: A61B 5/4842 Monitoring progression or stage of a disease
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]
• CPC Class Codes: G06T 7/0014 using an image reference approach
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

Methods and systems are described for quantitatively determining a score for a patient having a disorder, e.g., a stroke, in a tissue, such as the brain, by analyzing both the extent and location of damage to the tissue caused by the disorder.

Claims

1. A system for determining a hazard score for a patient having a disorder in a patient tissue, comprising a device arranged to obtain or store an image of the patient'"'"'s tissue, wherein the image comprises a plurality of patient image voxels;

a memory or computer-readable medium storing a non-patient specific hazard atlas of a disorder in a tissue, wherein the hazard atlas comprises a plurality of voxels, each voxel representing a hazard value of an extent of deficit caused by damage from the disorder to that voxel of the tissue at that location, such that the hazard value contains location specific information about the impact that the voxel'"'"'s death would have on behavior;

an output device; and

a processor linked to the imaging device, memory, and output device, wherein the processor is programmed to (i) obtain the image of the patient'"'"'s tissue;

(ii) identify voxels of the patient image that are damaged by the disorder as damaged patient image voxels;

(iii) obtain from the memory or computer-readable medium the hazard atlas of the disorder in the tissue;

(iv) compute a hazard score for the patient, wherein the score is the integration of all damaged patient image voxels weighted by the hazard value corresponding to that voxel location; and

(v) transmit the hazard score to the output device.

2. The system of claim 1, wherein the device to obtain the image of the patient'"'"'s tissue is a magnetic resonance imaging device.

3. The system of claim 1, wherein the hazard atlas is an atlas of the brain affected by stroke.

4. The system of claim 1, wherein the hazard atlas comprises a scale that correlates the values of the voxels to a code.

5. The system of claim 1, wherein the hazard score is computed using the formula:

Hazard Score=Σ

_j=1^N2Σ

_i=1^N1 National Institute of Health Stroke Scale_i,j/volume_i·

infarct_voxel_j

where N1 is the number of outlined regions and N2 is the total number of infarct voxels.

6. The system of claim 1, wherein damaged patient image voxels are identified using an image segmentation method.

7. The system of claim 1, wherein the image of a tissue of the patient comprises a series of images to represent a three-dimensional image.

8. The system of claim 1, wherein the hazard value of each voxel is based on any one or more of anatomical, vascular, and functional regions of tissue scored according to a specific numerical rating scale.

9. The system of claim 1, wherein the hazard value of each voxel is based on patient images and recorded patient behavior and outcomes.

10. The system of claim 1, wherein the tissue is brain, and the hazard value for each voxel is determined by analyzing a set of images from a group of patients that correlates damage in a specific region of the brain with a degree of loss of function and wherein the hazard value is commensurate with the degree of loss of function.

11. The system of claim 1, further comprising a scale that correlates the values of the voxels to a code.

12. The hazard atlas of claim 11, wherein the code is color.

13. The system of claim 11, wherein the code is a series of numbers.

14. The hazard atlas of claim 11, wherein the code is a gray scale.

15. The system of claim 1, wherein the image of the tissue is a three-dimensional image.

16. The system of claim 1, wherein the tissue is brain.

17. A system for producing a hazard score, the system comprising a device arranged to obtain or store an image of a patient'"'"'s tissue, wherein the image comprises a plurality of patient image voxels;

a memory or computer-readable medium storing a non-patient specific hazard atlas of a disorder in a tissue, wherein the hazard atlas comprises a plurality of voxels, each voxel representing a hazard value of an extent of deficit caused by damage from the disorder to that voxel of the tissue at a specific location, such that the hazard value contains location specific information about the impact that the voxel'"'"'s death would have on behavior;

an output device; and

a processor linked to the imaging device, memory, and output device, wherein the processor is programmed to (i) obtain the image of the patient'"'"'s tissue;

(ii) identify voxels of the patient image that are damaged by the disorder as damaged patient image voxels;

(iii) obtain from the memory or computer-readable medium the hazard atlas of the disorder;

(iv) compute a hazard score for the patient, wherein the score is the integration of all damaged patient image voxels weighted by the hazard value from the hazard atlas corresponding to that voxel location; and

(v) transmit the hazard score to the output device.