2019
DOI: 10.1002/mrm.28059
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CArtesian sampling with Variable density and Adjustable temporal resolution (CAVA)

Abstract: Purpose To develop a variable density Cartesian sampling method that allows retrospective adjustment of temporal resolution for dynamic MRI applications and to validate it in real‐time phase contrast MRI (PC‐MRI). Theory and Methods The proposed method, called CArtesian sampling with Variable density and Adjustable temporal resolution (CAVA), begins by producing a sequence of phase encoding indices based on the golden ratio increment. Then, variable density is introduced by nonlinear stretching of the indices.… Show more

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Cited by 6 publications
(5 citation statements)
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References 28 publications
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“…The variable density undersampling scheme for CS reconstruction was applied in the phase encoding direction. The mask was calculated using cartesian sampling with variable density and adjustable temporal resolution (CAVA) method 20 . The ratio of the fully sampled k‐space center was 16/203 = 7.88%.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The variable density undersampling scheme for CS reconstruction was applied in the phase encoding direction. The mask was calculated using cartesian sampling with variable density and adjustable temporal resolution (CAVA) method 20 . The ratio of the fully sampled k‐space center was 16/203 = 7.88%.…”
Section: Methodsmentioning
confidence: 99%
“…The mask was calculated using cartesian sampling with variable density and adjustable temporal resolution (CAVA) method. 20 The ratio of the fully sampled k-space center was 16/203 = 7.88%. The CS reconstruction was performed using the code of Sparse MRI with Total-Variation (TV) as the sparsifying transform.…”
Section: In-vivo Cardiac Experimentsmentioning
confidence: 99%
“…A pseudo‐random undersampling acquisition scheme with a net R of 4 was implemented for MS‐T 1ρ to allow for prospectively undersampled data. More specifically, the phase‐encoding lines in the k‐space center were undersampled regularly at R = 2, and the outer lines were undersampled using golden‐angle Cartesian sampling 22 . The sampling masks were different for each TSL.…”
Section: Methodsmentioning
confidence: 99%
“…More specifically, the phase-encoding lines in the k-space center were undersampled regularly at R = 2, and the outer lines were undersampled using golden-angle Cartesian sampling. 22 The sampling masks were different for each TSL. Figure 2A shows the sampling mask used in this study with 256 phase-encoding lines and a k-space center percentage of 16%, which is empirically chosen.…”
Section: Acceleration Of the Acquisitionmentioning
confidence: 99%
“…For the 2D datasets, the fully sampled k-space data were retrospectively (Retro) undersampled along the ky dimension using a pseudo-random undersampling pattern [46] with acceleration factors (R) = 4 and 6. For the 3D datasets, the fully sampled k-space datasets were retrospectively undersampled using Poisson disk random [47] patterns with R = 6.76 and 9.04.…”
Section: B In Vivo Experimentsmentioning
confidence: 99%