IP Library Granted Patent US 7,994,784
Granted Patent B2
US 7,994,784 · App. 12/321,198 · Granted Aug 9, 2011

Systems and methods for rescaling image intensities with diffusion MRI to synthesize complex diffusive geometries

Assignee: Medical College of Georgia Research Institute, Inc.
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Quick Facts
Patent No.
US 7,994,784
App. No.
12/321,198
Granted
Aug 9, 2011
Kind
B2
Abstract

A method for scaling MR signal intensity after noise has been removed is disclosed. Because the signal in a DTI series varies with the apparent diffusivity in the direction of an applied gradient, one can multiply image data collected under actual clinical conditions with a spatially-dependent scaling function to synthesize different spatial diffusion distributions, after removal of noise. Recombination of the data with the removed noise preserves the bias in the system.

Claims (42)

1. A method for synthesizing data obtained from a DTI protocol in an MRI system, comprising:

scanning with the MRI system a plurality of DTI directions of a test object having a plurality of anisotropic structures at least twice, wherein the test object comprises:

a plurality of water-filled capillaries arranged into an array; and

a housing, wherein the housing is substantially filled with a liquid, the array is housed within the housing, and the array has a generally polygonal-like shape and includes a plurality of arrays stacked in a plurality of rows in the housing and thereby forming a macro-array;

producing at least two sets of resultant images and associated data for each DTI direction;

determining an amount of noise in each of the resultant images;

removing the noise from the resultant images to yield a noiseless image;

scaling the data obtained from the scanning;

adding the removed noise to the data; and

calculating a new tensor.

2. The method of claim 1 , wherein the step of removing the noise further includes subtracting the two sets of images and observing values that are greater than zero.

3. The method of claim 1 , wherein the step of removing noise from the images includes computing a histogram of values in a pixel for the duplicates copied and determining the distribution of noise around a mean.

4. The method claim 1 , wherein the step of scanning a plurality of DTI directions includes scanning a first DTI direction of the test object, orienting a second DTI direction of the test object at 60 degrees from the first direction, and scanning the second DTI direction of the test object.

5. The method claim 1 , wherein the step of scanning a plurality of DTI directions includes scanning a first DTI direction of the test object, orienting a second DTI direction of the test object at 90 degrees from the first direction, and scanning the second DTI direction of the test object.

6. A non-transitory computer-readable medium storing instructions that, when executed on a programmed processor, carry out a method for synthesizing data obtained from a DTI protocol in an MRI system, comprising:

instructions for scanning a plurality of DTI directions of a test object having a plurality of anisotropic structures at least twice, wherein the test object comprises:

a plurality of water-filled capillaries arranged into an array; and

a housing, wherein the housing is substantially filled with a liquid, the array is housed within the housing, and the array has a generally polygonal-like shape and includes a plurality of arrays stacked in a plurality of rows in the housing and thereby forming a macro-array;

instructions for producing at least two sets of resultant images and associated data for each DTI direction;

instructions for determining an amount of noise in each of the resultant images;

instructions for removing the noise from the resultant images to yield a noiseless image;

instructions for scaling the data obtained from the scanning;

instructions for adding the removed noise to the data; and

instructions for calculating a new tensor.

7. The computer-readable medium of claim 6 , wherein the instructions for removing the noise include instructions for subtracting the two sets of images and observing values that are greater than zero.

8. The computer-readable medium of claim 6 , wherein the instructions for removing the noise include instructions for computing a histogram of values in a pixel for the duplicates copied and determining the distribution of noise around a mean.

9. The computer-readable medium of claim 6 , wherein the instructions for scanning a plurality of DTI directions include instructions for scanning a first DTI direction of the test object and scanning a second DTI direction of the test object, wherein the second direction is rotated by 60 degrees from the first direction.

10. The computer-readable medium of claim 6 , wherein the instructions for scanning a plurality of DTI directions include instructions for scanning a first DTI direction of the test object and scanning a second DTI direction of the test object, wherein the second direction is rotated by 90 degrees from the first direction.

11. A system for synthesizing data obtained from a DTI protocol in an MRI system, comprising:

means for scanning a plurality of DTI directions of a test object having a plurality of anisotropic structures at least twice, wherein the test object comprises:

a plurality of water-filled capillaries arranged into an array; and

a housing, wherein the housing is substantially filled with a liquid, the array is housed within the housing, and the array has a generally polygonal-like shape and includes a plurality of arrays stacked in a plurality of rows in the housing and thereby forming a macro-array;

means for producing at least two sets of resultant images and associated data for each DTI direction;

means for determining an amount of noise in each of the resultant images;

means for removing the noise from the resultant images to yield a noiseless image;

means for scaling the data obtained from the scanning;

means for adding the removed noise to the data; and

means for calculating a new tensor.

12. The system of claim 11 , wherein the means for removing the noise includes means for subtracting the two sets of images and observing values that are greater than zero.

13. The system of claim 11 , wherein the means for removing the noise includes means for computing a histogram of values in a pixel for the duplicates copied and determining the distribution of noise around a mean.

14. The system of claim 11 , wherein the means for scanning a plurality of DTI directions includes means for scanning a first DTI direction of the test object and a second DTI direction of the test object, wherein the second direction is rotated by 60 degrees from the first direction.

15. The system of claim 11 , wherein the means for scanning a plurality of DTI directions includes means for scanning a first DTI direction of the test object and a second DTI direction of the test object, wherein the second direction is rotated by 90 degrees from the first direction.

Assignments (4)
CHANGE OF NAME Recorded Apr 17, 2017
From: MEDICAL COLLEGE OF GEORGIA RESEARCH INSTITUTE, INC.
To: GEORGIA HEALTH SCIENCES UNIVERSITY RESEARCH INSTITUTE, INC.
Reel/Frame 042270/0337 →
CHANGE OF NAME Recorded Apr 17, 2017
From: GEORGIA HEALTH SCIENCES UNIVERSITY RESEARCH INSTITUTE, INC.
To: GEORGIA REGENTS RESEARCH INSTITUTE, INC.
Reel/Frame 042270/0341 →
CHANGE OF NAME Recorded Apr 17, 2017
From: GEORGIA REGENTS RESEARCH INSTITUTE, INC.
To: AUGUSTA UNIVERSITY RESEARCH INSTITUTE, INC.
Reel/Frame 042270/0344 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 9, 2009
From: YANASAK, NATHAN E.; HU, TOM C.
To: MEDICAL COLLEGE OF GEORGIA RESEARCH INSTITUTE, INC.
Reel/Frame 022527/0081 →
Continuity (6)
Continuation In Part 12220172 · Jul 21, 2008
Provisional Application 61126458 · May 5, 2008
Provisional Application 61011165 · Jan 16, 2008
Provisional Application 61011166 · Jan 16, 2008
Provisional Application 60961458 · Jul 20, 2007
Related Publication 20090190816A1 · Jul 30, 2009