Improved simultaneous multislice cardiac MRI using readout concatenated k‐space SPIRiT (ROCK‐SPIRiT)
- 10 February 2021
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 85 (6), 3036-3048
- https://doi.org/10.1002/mrm.28680
Abstract
Purpose To develop and evaluate a simultaneous multislice (SMS) reconstruction technique that provides noise reduction and leakage blocking for highly accelerated cardiac MRI. Methods ReadOut Concatenated k‐space SPIRiT (ROCK‐SPIRiT) uses the concept of readout concatenation in image domain to represent SMS encoding, and performs coil self‐consistency as in SPIRiT‐type reconstruction in an extended k‐space, while allowing regularization for further denoising. The proposed method is implemented with and without regularization, and validated on retrospectively SMS‐accelerated cine imaging with three‐fold SMS and two‐fold in‐plane acceleration. ROCK‐SPIRiT is compared with two leakage‐blocking SMS reconstruction methods: readout‐SENSE‐GRAPPA and split slice–GRAPPA. Further evaluation and comparisons are performed using prospectively SMS‐accelerated cine imaging. Results Results on retrospectively three‐fold SMS and two‐fold in‐plane accelerated cine imaging show that ROCK‐SPIRiT without regularization significantly improves on existing methods in terms of PSNR (readout‐SENSE‐GRAPPA: 33.5 ± 3.2, split slice–GRAPPA: 34.1 ± 3.8, ROCK‐SPIRiT: 35.0 ± 3.3) and SSIM (readout‐SENSE‐GRAPPA: 84.4 ± 8.9, split slice–GRAPPA: 85.0 ± 8.9, ROCK‐SPIRiT: 88.2 ± 6.6 [in percentage]). Regularized ROCK‐SPIRiT significantly outperforms all methods, as characterized by these quantitative metrics (PSNR: 37.6 ± 3.8, SSIM: 94.2 ± 4.1 [in percentage]). The prospectively five‐fold SMS and two‐fold in‐plane accelerated data show that ROCK‐SPIRiT and regularized ROCK‐SPIRiT have visually improved image quality compared with existing methods. Conclusion The proposed ROCK‐SPIRiT technique reduces noise and interslice leakage in accelerated SMS cardiac cine MRI, improving on existing methods both quantitatively and qualitatively.Funding Information
- National Institute of Biomedical Imaging and Bioengineering (P41EB027061, R21EB028369)
- Stichting voor de Technische Wetenschappen (STU.019.024)
- Division of Computing and Communication Foundations (CCF‐1651825)
- National Heart, Lung, and Blood Institute (R01HL153146)
This publication has 59 references indexed in Scilit:
- Interslice leakage artifact reduction technique for simultaneous multislice acquisitionsMagnetic Resonance in Medicine, 2013
- Blipped‐controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g‐factor penaltyMagnetic Resonance in Medicine, 2011
- SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐spaceMagnetic Resonance in Medicine, 2010
- Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRIMagnetic Resonance in Medicine, 2010
- Comprehensive quantification of signal‐to‐noise ratio and g‐factor for image‐based and k‐space‐based parallel imaging reconstructionsMagnetic Resonance in Medicine, 2008
- Cardiac cine MRI: Quantification of the relationship between fast gradient echo and steady‐state free precession for determination of myocardial mass and volumesJournal of Magnetic Resonance Imaging, 2008
- Image Quality Assessment: From Error Visibility to Structural SimilarityIEEE Transactions on Image Processing, 2004
- Generalized autocalibrating partially parallel acquisitions (GRAPPA)Magnetic Resonance in Medicine, 2002
- Advances in sensitivity encoding with arbitrary k‐space trajectoriesMagnetic Resonance in Medicine, 2001
- SENSE: Sensitivity encoding for fast MRIMagnetic Resonance in Medicine, 1999