Deep learning reconstruction of diffusion-weighted brain MRI for evaluation of patients with acute neurologic symptoms.

ABSTRACT:

Purpose

We aimed to evaluate whether the deep-learning (DL) accelerated diffusion weighted image (DWI) is clinically feasible for evaluating patients with acute neurologic symptoms, regarding its shorter study time and acceptable image quality.

Materials and methods

In this retrospective study, brain images obtained at DWI with a b-value of 0 s/mm2 and DWI with a b-value of 1000 s/mm2 (DWI 1000) from 321 consecutive patients with acute stroke-like symptom were reconstructed with and without DL algorithm. We compare the diagnostic performance between DL-DWI and conventional DWI for detecting brain lesions, including acute infarction. We assessed the diagnostic accuracy of conventional DWI and DL-DWI and compared the results. Qualitative analysis based on image quality was ass

SUBMITTER: Park SI 

PROVIDER: S-EPMC11494187 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature