Accelerating breast MRI acquisition with generative AI models.

ABSTRACT:

Objectives

To investigate the use of the score-based diffusion model to accelerate breast MRI reconstruction.

Materials and methods

We trained a score-based model on 9549 MRI examinations of the female breast and employed it to reconstruct undersampled MRI images with undersampling factors of 2, 5, and 20. Images were evaluated by two experienced radiologists who rated the images based on their overall quality and diagnostic value on an independent test set of 100 additional MRI examinations.

Results

The score-based model produces MRI images of high quality and diagnostic value. Both T1- and T2-weighted MRI images could be reconstructed to a high degree of accuracy. Two radiologists rated the images as almost indistinguishable from the original images (rating 4 or 5 o

SUBMITTER: Okolie A 

PROVIDER: S-EPMC11782449 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature