Publication | Closed Access
Optimized multi‐axis spiral projection <scp>MR</scp> fingerprinting with subspace reconstruction for rapid whole‐brain high‐isotropic‐resolution quantitative imaging
42
Citations
66
References
2022
Year
EngineeringSubspace ReconstructionMedical ImagingBrain AnalysisBiomedical ImagingSubspace RankBrain MappingMr FingerprintingNeuroimagingNeuroscienceBrain ImagingMedical Image ComputingMedicineMagnetic Resonance ImagingRadiology
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. B 0 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 T 1 and T 2 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.
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