Visualizing cerebral vasculature: imaging limitations from 2D and 3D data

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Abstract
Arterio-venous malformations (AVMs) are a congenital disorder that affects a small percentage of the population. They are treated by blocking or reducing the blood supply followed by surgery. This paper looks in a preliminary way at visualizing the cerebral vasculature and ultimately the AVMs. These visualizations provide support for the surgeons and radiologists. Our concern is to substantiate the point that there are deficiencies in the data correctable with reference to digital subtraction angiograms and we conjecture that knowledge based processing of this data may lead to improved results. The paper explores the basis of the difficulty and it compares the performance of several algorithms. Simple geometric objects are studied and the dependence of error on several parameters is shown. A comparison is drawn between the richness of the data available from x-ray angiograms (XRAs) and magnetic resonance angiograms (MRAs). Inferences are drawn on approaches that may be appropriate for the evolution of a description of the vasculature. Comment is also made on the way in which different representations may be compared.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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