Deep learning MRI halves scan time and preserves image quality across routine neuroradiologic examinations.

ABSTRACT:

Background

Magnetic resonance imaging (MRI) is a cornerstone of neuroimaging but is limited by lengthy acquisition times, which can lead to motion artifacts, patient discomfort, and delayed care. Deep learning reconstruction is an emerging technology that can offer image acquisition acceleration while maintaining image quality.

Purpose

To compare image quality and acquisition efficiency between deep learning-accelerated vs conventional MRI (C-MRI) across a spectrum of routine neuroradiologic examinations.

Materials and methods

In this single-center retrospective study, 26 patients underwent imaging with a commercially available, FDA-cleared deep learning-accelerated MRI reconstruction algorithm (Deep Resolve, Siemens Healthineers), and C-MRI on a Siemens 3 T MAGNETOM

SUBMITTER: Lyo SK 

PROVIDER: S-EPMC12483150 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature