MRI METHODS USING DIFFUSION TENSOR IMAGING TECHNIQUES AND MRI SYSTEMS EMBODYING SAME

Patent №

US 8,577,112

Granted

2013-11-05

Filed 2009

Owner

THE JOHNS HOPKINS UNIVERSITY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12489682

Featured is a method for automatically evaluating acquired MRI data, determining the quality of the acquired images and removing the image data when it is determined that an image is corrupted so the imaged data for the corrupted image is removed from the subsequent tensor fitting. In further embodiments, such determining includes judging the quality of the image data to determine if the image data satisfies a quality threshold criteria and if determined not to be satisfied adjudging the image to be corrupted. Such methods include performing said evaluating, determining and removing in real time and in the case where an image is determined to be corrupted, such methods further includes re-acquiring additional image data corresponding to each of the one or more images removed as being corrupted. Also featured are MRI systems embodying such methods.

VisionG01R 33/56341A61B 5/055

AI classification

Vision1.00
Machine learning0.17
Planning0.15
AI hardware0.11
Knowledge representation0.01
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

THE JOHNS HOPKINS UNIVERSITY

assignment · 230340677

Assignors

MORI, SUSUMU, JIANG, HANGYI, CHOU, MING-CHUNG, LI, YUE

On an employer assignment, the assignors are typically the inventors.

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