The clinical potential of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is currently limited by respiratory induced motion of the heart. This paper presents a unifying model of perfusion and motion in which respiratory motion becomes an integral part of myocardial perfusion quantification. Hence, the need for tedious manual motion correction prior to perfusion quantification is avoided. In addition, we demonstrate that the proposed framework facilitates the process of reconstructing DCEMRI from sparsely sampled data in the presence of respiratory motion. The paper focuses primarily on the underlying theory of the proposed framework, but shows in vivo results of respiratory motion correction and simulation results of reconstructing sparsely sampled data.
|Title of host publication||Proceedings of IEEE International Symposium on Biomedical Imaging : From Nano to Macro|
|Publication status||Published - 2010|
|Event||7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Rotterdam, Netherlands|
Duration: 14 Apr 2010 → 17 Apr 2010
Conference number: 7
|Conference||7th IEEE International Symposium on Biomedical Imaging|
|Period||14/04/2010 → 17/04/2010|