Fast MRI shows promise for more accurate brain diagnoses

Wednesday, November 29 | 9:30 a.m.-9:40 a.m. | W3-SSNR10-1 | Room E353C In this scientific session, researchers will present study findings that suggest that a deep learning-based fast MRI reconstruction model improves the efficiency and quality of brain MRI exams in both spin-echo and gradient-echo sequences.The findings could improve patient care and curb healthcare expenditures, wrote a team led by presenter Kyu Sung Choi, MD, PhD, of Seoul National University Hospital in South Korea."Enhanced image quality and reduced acquisition time provided by deep learning-based fast reconstruction may facilitate better diagnostics at lower healthcare costs," the group noted.The investigators sought to evaluate the effectiveness of brain MRI used with a deep learning-based fast reconstructed technique, comparing qualitative and quantitative image quality to conventional MRI for both spin-echo and gradient-echo sequences.Four neuroradiologists blinded to the type of MRI exam assessed both synthetic and conventional MRI studies with T1-weighted, T2-weighted, T2-FLAIR, and 3D T1-weighted images from 100 patients, using a five-point scale. The researchers calculated interreader agreement among the four clinicians and evaluated signal-to-noise and contrast-to-noise ratio for 3D T1-weighted and T2 FLAIR sequences.The deep-learning fast reconstruction MRI technique showed a median reduced acquisition time of 41%, as well as improved image quality (3.8 on the rating scale compared to 3.4 ...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: 2023 MRI Preview Source Type: news