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

John B. Hiller; Tatjana Zrimec; Nicholas J. Mankovich; Simon Keith Warfield

doi:10.1117/12.174043

1 May 1994 Visualizing cerebral vasculature: imaging limitations from 2D and 3D data

John B. Hiller, Tatjana Zrimec, Nicholas J. Mankovich, Simon Keith Warfield

Proceedings Volume 2164, Medical Imaging 1994: Image Capture, Formatting, and Display; (1994) https://doi.org/10.1117/12.174043
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

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.

Citation Download Citation

John B. Hiller, Tatjana Zrimec, Nicholas J. Mankovich, and Simon Keith Warfield "Visualizing cerebral vasculature: imaging limitations from 2D and 3D data", Proc. SPIE 2164, Medical Imaging 1994: Image Capture, Formatting, and Display, (1 May 1994); https://doi.org/10.1117/12.174043

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