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High-quality cardiac magnetic resonance (CMR) images can be hardly obtained when intrinsic noise sources are present, namely heart and breathing movements. Yet heart images may be acquired in real time, the image quality is really limited and most sequences use ECG gating to capture images at each stage of the cardiac cycle during several heart beats. This paper presents a novel super-resolution algorithm...
Diffusion Weighted (DW) imaging have proven to be useful in brain architectural analyses and in research about the brain tract organization and neuronal connectivity. However, the clinical use of DW images is currently limited by a series of acquisition artifacts, such as the partial volume effect (PVE), that affect the spatial resolution, and therefore, the sensitivity of further DW imaging analysis...
Spatial resolution of Diffusion Weighted (DW) images is currently limited by diverse considerations. This situation introduces a series of artifacts, such as the partial volume effect (PVE), that therefore affect the sensitivity of DW imaging analysis. In this paper, a new multiscale/sparse super-resolution method increases the spatial resolution of the DW images. Based on the redundancy presented...
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