Arne Estler, Leonie Zerweck, Merle Brunnée, Bent Estler, Till-Karsten Hauser, Vivien Richter, Anja Örgel, Eva Bürkle, Hannes Becker, Helene Hurth, Stéphane Stahl, Eva-Maria Konrad, Carina Kelbsch, Ulrike Ernemann, Georg Gohla
BACKGROUND AND PURPOSE: This study explores the use of deep learning (DL) techniques in MRI of the orbit to enhance imaging. Standard protocols, although detailed, have lengthy acquisition times. We investigate DL-based methods for T2-weighted and T1-weighted, fat-saturated, contrast-enhanced turbo spin echo (TSE) sequences, aiming to improve image quality, reduce acquisition time, minimize artifacts, and enhance diagnostic confidence in orbital imaging. METHODS: In a 3-Tesla MRI study of 50 patients evaluating orbital diseases from March to July 2023, conventional (TSES ) and DL TSE sequences (TSEDL ) were used...
January 9, 2024: Journal of Neuroimaging: Official Journal of the American Society of Neuroimaging