Technologies for white matter hyperintensity quantification

Patent metadata

Field	Value
Publication number	US-2016143573-A1
Application number	US-201514947704-A
Country	US
Kind code	A1
Filing date	Nov 20, 2015
Priority date	Nov 21, 2014
Publication date	May 26, 2016
Grant date	—

Abstract

A method comprises selecting, via a computer, an intensity threshold value. The method also comprises defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value. The method further comprises extracting, via the computer, a plurality of voxels from the imaging data based on the defining. The method additionally comprises determining, via the computer, a total volume of the voxels based on the extracting. The method also comprises determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.

First claim

1 . A method comprising:
selecting, via a computer, an intensity threshold value; defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value; extracting, via the computer, a plurality of voxels from the imaging data based on the defining; determining, via the computer, a total volume of the voxels based on the extracting; and determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.

2 . The method of claim 1 , wherein the intensity threshold value is selected from a range of specificity-to-sensitivity intensity threshold values.

3 . The method of claim 1 , wherein the selecting is based on an image analysis based on at least one of image brightness information, image historic information, image degradation information, or imaging machine information.

4 . The method of claim 1 , further comprising:
analyzing, via the computer, the imaging data for at least one of hyperintensity under-labeling or hyperintensity over-labeling based on at least one of a voxel location or a voxel light intensity.

5 . The method of claim 4 , further comprising:
editing, via the computer, the imaging data based on the analyzing.

6 . A system comprising:
a hardware processor; a memory operably coupled to the hardware processor, wherein the memory storing a set of instructions for execution via the hardware processor, wherein the instructions instruct the hardware processor to perform a method comprising:
selecting an intensity threshold value;
defining a plurality of hyperintensities on imaging data based on the intensity threshold value;
extracting a plurality of voxels from the imaging data based on the defining;
determining a total volume of the voxels based on the extracting; and
determining a regional distribution of WMH based on an anatomical atlas and the total volume.

7 . The system of claim 6 , wherein the intensity threshold value is selected from a range of specificity-to-sensitivity intensity threshold values.

8 . The system of claim 6 , wherein the selecting is based on image analysis based on at least one of image brightness information, image historic information, image degradation information, or imaging machine information.

9 . The system of claim 6 , wherein the method further comprising:
analyzing the imaging data for at least one of hyperintensity under-labeling or hyperintensity over-labeling based on at least one of a voxel location or a voxel light intensity.

10 . The system of claim 9 , wherein the method further comprising:
editing, via the computer, the imaging data based on the analyzing.

11 . A non-transitory computer-readable storage medium storing a set of instructions for execution via a processing circuit to implement a method comprising:
selecting, via a computer, an intensity threshold value; defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value; extracting, via the computer, a plurality of voxels from the imaging data based on the defining; determining, via the computer, a total volume of the voxels based on the extracting; and determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.

12 . The non-transitory computer-readable storage medium of claim 11 , wherein the intensity threshold value is selected from a range of specificity-to-sensitivity intensity threshold values.

13 . The non-transitory computer-readable storage medium of claim 11 , wherein the selecting is based on image analysis based on at least one of image brightness information, image historic information, image degradation information, or imaging machine information.

14 . The non-transitory computer-readable storage medium of claim 11 , wherein the method further comprising:
analyzing, via the computer, the imaging data for at least one of hyperintensity under-labeling or hyperintensity over-labeling based on at least one of a voxel location or a voxel light intensity.

15 . The non-transitory computer-readable storage medium of claim 14 , wherein the method further comprising:
editing, via the computer, the imaging data based on the analyzing.

Assignees

• Brickman Adam M
• Muraskin Jordan
• Provenzano Frank A
• Narkhede Atul
• Univ Columbia

Inventors

• Brickman Adam M
• Muraskin Jordan
• Provenzano Frank A
• Narkhede Atul

Classifications

• G06T7/136

  involving thresholding · CPC title

• G06T2207/20076

  Probabilistic image processing · CPC title

• G06T7/0012

  Biomedical image inspection · CPC title

• A61B2576/026

  for the brain · CPC title

• G16H30/40

  for processing medical images, e.g. editing · CPC title