Fast implementation for compressive recovery of highly accelerated cardiac cine MRI using the balanced sparse model
Magnetic Resonance in Medicine2016Vol. 77(4), pp. 1505–1515
Citations Over TimeTop 17% of 2016 papers
Samuel T Ting, Rizwan Ahmad, Ning Jin, Jason Craft, Juliana Serafim da Silveira, Hui Xue, Orlando P. Simonetti
Abstract
Our approach can be utilized to achieve fast reconstruction of large MRI datasets, thereby increasing the clinical utility of reconstruction techniques based on compressed sensing. Magn Reson Med 77:1505-1515, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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