Reconstruction of free-breathing myocardial perfusion MRI using simultanous modeling of perfusion and motion (SMPM) and arbitrary k-space sampling |
Henrik Pedersen, Henrik B. W. Larsson, Rasmus Larsen
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| Abstract | Respiratory motion of the heart represents a major practical problem in myocardial perfusion MRI, because it hampers perfusion quantification and causes residual aliasing artifacts in modern k-space undersampling techniques. This work presents a computational framework that allows simultaneous modeling of perfusion and motion (SMPM) for arbitrary k-space sampling strategies. We demonstrate the SMPM concept for a representative free-breathing myocardial perfusion data set using 1) fully sampled k-space data, 2) undersampled Cartesian k-space data, and 3) undersampled radial k-space data. Results show that the SMPM approach fits the original data well, both with fully sampled k-space data and 8-fold radial undersampling. |
| Type | Conference paper [With referee] |
| Conference | Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu |
| Year | 2009 pp. 663 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |