Application of deep learning-based image reconstruction in MR imaging of the shoulder joint to improve image quality and reduce scan time.

ABSTRACT:

Objectives

To compare the image quality and diagnostic performance of conventional motion-corrected periodically rotated overlapping parallel line with enhanced reconstruction (PROPELLER) MRI sequences with post-processed PROPELLER MRI sequences using deep learning-based (DL) reconstructions.

Methods

In this prospective study of 30 patients, conventional (19 min 18 s) and accelerated MRI sequences (7 min 16 s) using the PROPELLER technique were acquired. Accelerated sequences were post-processed using DL. The image quality and diagnostic confidence were qualitatively assessed by 2 readers using a 5-point Likert scale. Analysis of the pathological findings of cartilage, rotator cuff tendons and muscles, glenoid labrum and subacromial bursa was performed. Inter-reader agreemen

SUBMITTER: Kaniewska M 

PROVIDER: S-EPMC9935676 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature