2012
DOI: 10.1118/1.4738965
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Myocardial perfusion MRI with an undersampled 3D stack‐of‐stars sequence

Abstract: Purpose:To determine the feasibility of three-dimensional (3D) hybrid radial (stack-of-stars) MRI with spatiotemporal total variation (TV) constrained reconstruction for dynamic contrast enhanced myocardial perfusion imaging. Methods: An ECG-triggered saturation recovery turboFLASH sequence with undersampled stackof-stars sampling with spatiotemporal TV constrained reconstruction was developed for dynamic contrast enhanced myocardial perfusion imaging. Simulations were performed to study the dependence of the … Show more

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Cited by 35 publications
(41 citation statements)
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“…However, the highly undersampled radial data in this study result in relatively wide streaks and the TV reconstruction penalizes oscillations while preserving sharp edges . Because prior CS‐based reconstruction for perfusion imaging exploited the temporal correlation of perfusion data, we cannot directly compare our results with those of prior studies. Further studies to investigate other CS‐based reconstruction are needed.…”
Section: Discussionmentioning
confidence: 91%
“…However, the highly undersampled radial data in this study result in relatively wide streaks and the TV reconstruction penalizes oscillations while preserving sharp edges . Because prior CS‐based reconstruction for perfusion imaging exploited the temporal correlation of perfusion data, we cannot directly compare our results with those of prior studies. Further studies to investigate other CS‐based reconstruction are needed.…”
Section: Discussionmentioning
confidence: 91%
“…By dropping the terms independent of ()i in Eq. (15), completing the square in Eq. (10) and defining the intermediate variable iJ = DXk+1 + yk /p, we can rewrite the problem (10) as follows:…”
Section: A Minimization With Respect To Xmentioning
confidence: 99%
“…In this context, total variation (TV) regularization has been widely used to exploit and promote the sparsity of the solution [14][15][16]. TV regularization is based on the L, norm and makes use of discrete gradients as a sparsifying transform.…”
Section: Introductionmentioning
confidence: 99%
“…23,25 Other promising acceleration techniques, such as spiral imaging, are in early development, but their clinical utility has yet to be assessed. [26][27][28] With the techniques listed above, it is possible to accelerate image acquisition up to a factor of ≥10 times. This speed-up has been used to improve spatial resolution (high-resolution perfusion CMR) or to acquire 3D myocardial perfusion data within a single acquisition shot facilitating greater spatial coverage.…”
Section: Advanced Acceleration Methodsmentioning
confidence: 99%