Visualization of MR angiographic data with segmentation and volume‐rendering techniques
Xiaoping Philip Hu, Noam J. Alperin, David Neville Levin, Kim Kiat Tan, Michel M. Mengeot · Journal of Magnetic Resonance Imaging · 1991
Novel image processing and computer graphics techniques were developed to create three-dimensional (3D) models of vasculature from magnetic resonance (MR) angiographic images of the head or neck. Region growing was used to produce a mask that isolated the vascular signal in the MR angiographic data. The masked images were subjected to gradient-shaded volume rendering to create 3D views of the vasculature. The computer-derived model of intracranial vasculature was then merged with a 3D model of brain parenchyma derived from a set of MR images. The combined display of vascular and gyral anatomy may be useful for neurosurgical planning.