Optimized multi‐axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole‐brain high‐isotropic‐resolution quantitative imaging
Year: 2022
Type: article
Abstract: Purpose To improve image quality and accelerate the acquisition of 3D MR fingerprinting (MRF). Methods Building on the multi‐axis spiral‐projection MRF technique, a subspace reconstruction with locally low‐rank constraint and a modified spiral‐projection spatiotemporal encoding scheme called tiny golden‐angle shuffling were implemented for rapid whole‐brain high‐resolution quantitative mapping. Reconstruction parameters such as the locally low‐rank regularization parameter and the subspace rank were tuned using retrospective in vivo data and simulated examinations. B0 inhomogeneity correction using multifrequency interpolation was incorporated into the subspace reconstruction to further improve the image quality by mitigating blurring caused by off‐resonance effect. Results The proposed MRF acquisition and reconstruction framework yields high‐quality 1‐mm isotropic whole‐brain quantitative maps in 2 min at better quality compared with 6‐min acquisitions of prior approaches. The proposed method was validated to not induce bias in T1 and T2 mapping. High‐quality whole‐brain MRF data were also obtained at 0.66‐mm isotropic resolution in 4 min using the proposed technique, where the increased resolution was shown to improve visualization of subtle brain structures. Conclusions The proposed tiny golden‐angle shuffling, MRF with optimized spiral‐projection trajectory and subspace reconstruction enables high‐resolution quantitative mapping in ultrafast acquisition time.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.29194
Institutions: Stanford Medicine, Stanford University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts Institute of Technology, University of Virginia, Zhejiang University, University of Rochester Medicine, University of Rochester, Harvard University, Harvard–MIT Division of Health Sciences and Technology
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G1066968254, G1651804729, G3252607384, G3624269843, G492726092, fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution, MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNER, G9000000230, G9000000615, G9000027544, G9000050884, G9000052245, G9000151054, Next generation in-vivo diffusion imaging at submillimeter resolution, G918790328
OpenAlex ID: W4213444680