Patent ID: 11954578
Assignee: UNIVERSITY OF VIRGINIA PATENT FOUNDATION
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 14:
15. A system for denoising a magnetic resonance (MR) image, comprising:
one or more processors;
a memory device coupled to the one or more processors and storing instructions which, when executed by the one or more processors, cause the system to perform functions that include:
acquiring magnetic resonance (MR) image data of an area of interest of a subject, wherein the image data comprises noisy input images, and wherein the noisy input images comprise noise data and noise free image data;
for each of the noisy input images:
running iterations of a converging sequence in an unsupervised deep convolutional neural network (U-DCNN);
in each iteration, updating parameter settings used in calculating a series of image feature sets with the U-DCNN, the image feature sets predicting an output image;
terminating the converging sequence of the U-DCNN before the feature sets predict a respective output image that replicates all of the noise data from the noisy input image; and

outputting, for each iteration, an updated compilation of denoised MR image data of the area of interest of the subject.