Details

Autor(en) / Beteiligte

• Ramos‐Llordén, Gabriel
• Ning, Lipeng
• Liao, Congyu
• Mukhometzianov, Rinat
• Michailovich, Oleg
• Setsompop, Kawin
• Rathi, Yogesh

Titel

High‐fidelity, accelerated whole‐brain submillimeter in vivo diffusion MRI using gSlider‐spherical ridgelets (gSlider‐SR)

Ist Teil von

• Magnetic resonance in medicine, 2020-10, Vol.84 (4), p.1781-1795

Ort / Verlag

United States: Wiley Subscription Services, Inc

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Wiley Online Library Journals Frontfile Complete

Beschreibungen/Notizen

• Purpose To develop an accelerated, robust, and accurate diffusion MRI acquisition and reconstruction technique for submillimeter whole human brain in vivo scan on a clinical scanner. Methods We extend the ultra‐high resolution diffusion MRI acquisition technique, gSlider, by allowing undersampling in q‐space and radiofrequency (RF)‐encoding space, thereby dramatically reducing the total acquisition time of conventional gSlider. The novel method, termed gSlider‐SR, compensates for the lack of acquired information by exploiting redundancy in the dMRI data using a basis of spherical ridgelets (SR), while simultaneously enhancing the signal‐to‐noise ratio. Using Monte Carlo simulation with realistic noise levels and several acquisitions of in vivo human brain dMRI data (acquired on a Siemens Prisma 3T scanner), we demonstrate the efficacy of our method using several quantitative metrics. Results For high‐resolution dMRI data with realistic noise levels (synthetically added), we show that gSlider‐SR can reconstruct high‐quality dMRI data at different acceleration factors preserving both signal and angular information. With in vivo data, we demonstrate that gSlider‐SR can accurately reconstruct 860 μm diffusion MRI data (64 diffusion directions at b=2000s/mm2), at comparable quality as that obtained with conventional gSlider with four averages, thereby providing an eight‐fold reduction in scan time (from 1 hour 20 to 10 minutes). Conclusions gSlider‐SR enables whole‐brain high angular resolution dMRI at a submillimeter spatial resolution with a dramatically reduced acquisition time, making it feasible to use the proposed scheme on existing clinical scanners.