Open access
Fast Submillimeter Whole‐Brain T2*‐Weighted Imaging Using 3D‐EPI With CAIPIRINHA and Deep‐Learning Denoising at 3T
Sreekanth Madhusoodhanan Nair
Bryan Quah
Jaemin Song
Jin Jin
Chang Gao
Fei Han
Elaina Luskin
Michael Luu
Brian Renner
Ke Liu
Sunil Patil
John Derbyshire
Ken Sakaie
Jonathan Lee
Mark A. Elliott
R. Shinohara
M. K. Schindler
Michel Bilello
M. Kaisey
O. Al-Louzi
Nader Binesh
Marcel Maya
Debiao Li
A. Solomon
D. S. Reich
Nancy L. Sicotte
Mark Lowe
Daniel Ontaneda
Pascal Sati
Medicine
Abstract
Recent updates to the diagnostic criteria of multiple sclerosis (MS) require whole‐brain T2*‐weighted (T2*w) imaging with submillimeter resolution to detect novel diagnostic biomarkers such as the central vein sign. However, to achieve the needed submillimeter spatial resolution, conventional T2*w 3D gradient‐echo scans sequences are limited by prohibitively long scan times for clinical use. Here, we evaluated a different approach based on a segmented 3D echo planar imaging (3D‐EPI) sequence, accelerated with 2D Controlled Aliasing in Parallel Imaging Results in Higher Acceleration (CAIPIRINHA) undersampling and denoised with a deep learning‐based network.