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- W2069346035 abstract "Introduction Robust implementation of first-pass cardiac perfusion MRI for clinical use can be particularly challenging due to competing constraints of spatial and temporal resolution, and spatial coverage [1]. k-t SENSE [2] can be used to achieve high accelerations, but dynamic training data are required which reduces the effective acceleration rate. An alternative acceleration technique is compressed sensing (CS) [3], where spatial and temporal correlations result in sparsity of image series content, which may in turn be exploited to achieve high levels of undersampling without losing image information. We have recently presented the combination of compressed sensing and parallel imaging (JOCS: JOint-CS [4]) to increase the acceleration rate of CS alone. In this work, we demonstrate first-pass cardiac perfusion MRI with whole-heart coverage and high spatial and temporal resolution using the JOCS technique." @default.
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- W2069346035 date "2010-01-01" @default.
- W2069346035 modified "2023-09-27" @default.
- W2069346035 title "Highly-accelerated first-pass cardiac perfusion MRI using compressed sensing and parallel imaging" @default.
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- W2069346035 doi "https://doi.org/10.1186/1532-429x-12-s1-o71" @default.
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