Development and validation of a rapid robust 3D-MRF with fast online recon suitable for large-scale neuroscientific and clinical applications

作者：Zihan Zhou, Xiaozhi Cao, Congyu Liao, Mark Nishimura, Sophie Schauman, M. Gao, Mahmut Yurt, Nan Wang, Maya Yablonski, Zhitao Li, Bruno Souza Soares, Ali Syed, Adam B. Kerr, Jason D. Yeatman, Kawin Setsompop · 发表于：Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 年份：2024 · DOI：10.58530/2024/1075 · 被引用次数：2 · 研究领域：Advanced MRI Techniques and Applications、Medical Imaging Techniques and Applications、Atomic and Subatomic Physics Research

Motivation: A number of promising multiparameter mapping approaches have been developed but are not yet in routine-use in clinical and neuroscientific settings. Goal(s): To create a rapid and robust 3D-MRF acquisition/reconstruction package, suitable for large-scale neuroscientific and clinical applications. Approach: 3D-MRF acquisition is developed for 1-mm whole-brain-mapping in 2.5-minutes, with build-in robustness to motion, and quantification bias from B0&B1 inhomogeneities. Highly-efficient reconstruction package is created for online generation of quantitative maps and synthesized-contrasts within 4 minutes of scan-completion, benchmarked using a consumer-grade GPU. Results: The pipeline has been validated on over 100-scans performed across clinical and neuroscientific settings with plan for open-source distribution soon. Impact: The distribution of such an acquisition/reconstruction package should help facilitate wide-spread deployment of multiparameter mapping.