Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 75, Issue 4, Pages 1617-1629Publisher
WILEY
DOI: 10.1002/mrm.25773
Keywords
T-1 rho mapping; cartilage imaging; compressed sensing; iterative support detection; principal component analysis; joint sensitivity estimation
Funding
- NSF [CBET-1265612]
- NIH/NIAMS [P50 AR060752]
- Directorate For Engineering
- Div Of Chem, Bioeng, Env, & Transp Sys [1265612] Funding Source: National Science Foundation
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Purpose: To accelerate T-1 rho quantification in cartilage imaging using combined compressed sensing with iterative locally adaptive support detection and JSENSE. Methods: To reconstruct T-1 rho images from accelerated acquisition at different time of spin-lock (TSLs), we propose an approach to combine an advanced compressed sensing (CS) based reconstruction technique, LAISD (locally adaptive iterative support detection), and an advanced parallel imaging technique, JSENSE. Specifically, the reconstruction process alternates iteratively among local support detection in the domain of principal component analysis, compressed sensing reconstruction of the image sequence, and sensitivity estimation with JSENSE. T-1 rho quantification results from accelerated scans using the proposed method are evaluated using in vivo knee cartilage data from bilateral scans of three healthy volunteers. Results: T-1 rho maps obtained from accelerated scans (acceleration factors of 3 and 3.5) using the proposed method showed results comparable to conventional full scans. The T1r errors in all compartments are below 1%, which is well below the in vivo reproducibility of cartilage T-1 rho reported from previous studies. Conclusion: The proposed method can significantly accelerate the acquisition process of T-1 rho quantification on human cartilage imaging without sacrificing accuracy, which will greatly facilitate the clinical translation of quantitative cartilage MRI. (C) 2015 Wiley Periodicals, Inc.
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