Abstract #2609

Measuring microvascular flow characteristics with myocardial DCE-MRI perfusion data using a model-independent, multi-resolution spline approach in patients at stress

Karl P Kunze¹, Christoph Rischpler¹, Markus Schwaiger¹, and Stephan G Nekolla¹

¹Department of Nuclear Medicine, Klinikum rechts der Isar der TU München, Munich, Germany

This abstract proposes a new B-spline based approach for model-independent deconvolution of myocardial DCE-MRI perfusion data and the reconstruction of the vascular transit time distribution function. It allows the model-independent quantification of vascular mean transit time and vascular transit time heterogeneity, whose relationship is of importance in understanding the implications of different ischemic microvascular disease patterns. The presented algorithm was tested in simulations and showed stability for the range of perfusion parameters expected under stress conditions. 12 DCE-MRI patient datasets from adenosine stress examinations were analyzed, showing a steady increase of heterogeneity with mean transit time.

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