Affiliation:
1. Department of Biomedical Engineering Case Western Reserve University Cleveland Ohio USA
2. Imaging Institute, Cleveland Clinic Cleveland Ohio USA
3. Department of Radiology Case Western Reserve University Cleveland Ohio USA
4. Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology Cardiff University Cardiff UK
Abstract
AbstractPurposeTo propose a new reconstruction method for multidimensional MR fingerprinting (mdMRF) to address shading artifacts caused by physiological motion‐induced measurement errors without navigating or gating.MethodsThe proposed method comprises two procedures: self‐calibration and subspace reconstruction. The first procedure (self‐calibration) applies temporally local matrix completion to reconstruct low‐resolution images from a subset of under‐sampled data extracted from the k‐space center. The second procedure (subspace reconstruction) utilizes temporally global subspace reconstruction with pre‐estimated temporal subspace from low‐resolution images to reconstruct aliasing‐free, high‐resolution, and time‐resolved images. After reconstruction, a customized outlier detection algorithm was employed to automatically detect and remove images corrupted by measurement errors. Feasibility, robustness, and scan efficiency were evaluated through in vivo human brain imaging experiments.ResultsThe proposed method successfully reconstructed aliasing‐free, high‐resolution, and time‐resolved images, where the measurement errors were accurately represented. The corrupted images were automatically and robustly detected and removed. Artifact‐free T1, T2, and ADC maps were generated simultaneously. The proposed reconstruction method demonstrated robustness across different scanners, parameter settings, and subjects. A high scan efficiency of less than 20 s per slice has been achieved.ConclusionThe proposed reconstruction method can effectively alleviate shading artifacts caused by physiological motion‐induced measurement errors. It enables simultaneous and artifact‐free quantification of T1, T2, and ADC using mdMRF scans without prospective gating, with robustness and high scan efficiency.
Funder
National Institutes of Health
Siemens Healthineers
Subject
Radiology, Nuclear Medicine and imaging