Fast Cardiac CINE MRI by Iterative Truncation of Small Transformed Coefficients
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초록
Purpose: A new compressed sensing technique by iterative truncation of smalltransformed coefficients (ITSC) is proposed for fast cardiac CINE MRI. Materials and Methods: The proposed reconstruction is composed of two processes:truncation of the small transformed coefficients in the r-f domain, and restorationof the measured data in the k-t domain. The two processes are sequentially appliediteratively until the reconstructed images converge, with the assumption that thecardiac CINE images are inherently sparse in the r-f domain. A novel samplingstrategy to reduce the normalized mean square error of the reconstructed images isproposed. Results: The technique shows the least normalized mean square error among thefour methods under comparison (zero filling, view sharing, k-t FOCUSS, and ITSC). Application of ITSC for multi-slice cardiac CINE imaging was tested with the numberof slices of 2 to 8 in a single breath-hold, to demonstrate the clinical usefulness ofthe technique. Conclusion: Reconstructed images with the compression factors of 3-4 appear veryclose to the images without compression. Furthermore the proposed algorithm iscomputationally efficient and is stable without using matrix inversion during thereconstruction.
Abstract
Purpose: A new compressed sensing technique by iterative truncation of smalltransformed coefficients (ITSC) is proposed for fast cardiac CINE MRI. Materials and Methods: The proposed reconstruction is composed of two processes:truncation of the small transformed coefficients in the r-f domain, and restorationof the measured data in the k-t domain. The two processes are sequentially appliediteratively until the reconstructed images converge, with the assumption that thecardiac CINE images are inherently sparse in the r-f domain. A novel samplingstrategy to reduce the normalized mean square error of the reconstructed images isproposed. Results: The technique shows the least normalized mean square error among thefour methods under comparison (zero filling, view sharing, k-t FOCUSS, and ITSC). Application of ITSC for multi-slice cardiac CINE imaging was tested with the numberof slices of 2 to 8 in a single breath-hold, to demonstrate the clinical usefulness ofthe technique. Conclusion: Reconstructed images with the compression factors of 3-4 appear veryclose to the images without compression. Furthermore the proposed algorithm iscomputationally efficient and is stable without using matrix inversion during thereconstruction.
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