In Proceedings of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014)
User-Guided Compressed Sensing for Magnetic Resonance Angiography
Compressed sensing (CS) magnetic resonance imaging (MRI) enables the reconstruction of MRI images with fewer samples in k-space. One requirement is that the acquired image has a sparse representation in a known transform domain. MR angiograms are already sparse in the image domain. They can be further sparsified through finitedifferences. Therefore, it is a natural application for CSMRI. However, low-contrast vessels are likely to disappear at high undersampling ratios, since the commonly used `1 reconstruction tends to underestimate the magnitude of the transformed sparse coefficients. These vessels, however, are likely to be clinically important for medical diagnosis. To avoid the fading of low-contrast vessels, we propose a user-guided CS MRI that is able to mitigate the reduction of vessel contrast within a region of interest (ROI). Simulations show that these low-contrast vessels can be well maintained via our method which results in higher local quality compared to conventional CS.
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@inproceedings{bib:zhang:2014,
author = { Zhang, Changgong and van de Giessen, Martijn and Eisemann, Elmar and Vilanova, Anna },
title = { User-Guided Compressed Sensing for Magnetic Resonance Angiography },
booktitle = { In Proceedings of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014) },
year = { 2014 },
pubmedid = { 25570477 },
dblp = { conf/embc/ZhangGEV14 },
url = { https://publications.graphics.tudelft.nl/papers/469 },
}