Multiscale reconstruction for MR fingerprinting

Purpose To reduce the acquisition time needed to obtain reliable parametric maps with Magnetic Resonance Fingerprinting. Methods An iterative‐denoising algorithm is initialized by reconstructing the MRF image series at low image resolution. For subsequent iterations, the method enforces pixel‐wise f...

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Veröffentlicht in:Magnetic resonance in medicine Jg. 75; H. 6; S. 2481 - 2492
Hauptverfasser: Pierre, Eric Y., Ma, Dan, Chen, Yong, Badve, Chaitra, Griswold, Mark A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Blackwell Publishing Ltd 01.06.2016
Wiley Subscription Services, Inc
Schlagworte:
Algorithms
Brain - diagnostic imaging
Compressed Sensing
Fingerprinting
Humans
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging - methods
Multiscale Image Reconstruction
Parameter Mapping
Phantoms, Imaging
Parameter Mapping
Fingerprinting
Multiscale Image Reconstruction
Compressed Sensing
ISSN:0740-3194, 1522-2594, 1522-2594
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Zusammenfassung:Purpose To reduce the acquisition time needed to obtain reliable parametric maps with Magnetic Resonance Fingerprinting. Methods An iterative‐denoising algorithm is initialized by reconstructing the MRF image series at low image resolution. For subsequent iterations, the method enforces pixel‐wise fidelity to the best‐matching dictionary template then enforces fidelity to the acquired data at slightly higher spatial resolution. After convergence, parametric maps with desirable spatial resolution are obtained through template matching of the final image series. The proposed method was evaluated on phantom and in vivo data using the highly undersampled, variable‐density spiral trajectory and compared with the original MRF method. The benefits of additional sparsity constraints were also evaluated. When available, gold standard parameter maps were used to quantify the performance of each method. Results The proposed approach allowed convergence to accurate parametric maps with as few as 300 time points of acquisition, as compared to 1000 in the original MRF work. Simultaneous quantification of T1, T2, proton density (PD), and B0 field variations in the brain was achieved in vivo for a 256 × 256 matrix for a total acquisition time of 10.2 s, representing a three‐fold reduction in acquisition time. Conclusion The proposed iterative multiscale reconstruction reliably increases MRF acquisition speed and accuracy. Magn Reson Med 75:2481–2492, 2016. © 2015 Wiley Periodicals, Inc.
Bibliographie:NIH, 1R01EB016728
istex:12BC54D658D7D98318A36937937ADCC1191FF6EF
ark:/67375/WNG-QX1VKV18-H
ArticleID:MRM25776
Siemens Healthcare
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SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0740-3194
1522-2594
1522-2594
DOI:10.1002/mrm.25776