Towards multi-scale personalized modeling of brain vasculature based on magnetic resonance image processing

Abstract

A technique is proposed for personalized modeling of cerebral brain vasculature based on three-dimensional magnetic resonance images. High resolution ToF, QSM MR images were used to build 3D geometric models of arteries and veins. To make a next step towards modeling of the whole vascular system, a surface of gray matter was extracted from T1 weighted image. Then, within selected part of the cortex, a computer-synthesized blood vessels originating from nearby artery were built as mesoscopic part of the cerebral blood system. Limitations of the ToF and QSM-based approach to development of such a comprehensive model are pointed out and discussed.