Reconstructing vascular skeletons from x-ray angiograms

Peter Hall; Milton Ngan; Peter Andreae

doi:10.1117/12.310927

24 June 1998 Reconstructing vascular skeletons from x-ray angiograms

Peter Hall, Milton Ngan, Peter Andreae

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310927
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

In this paper we present an approach for 3D reconstruction of vascular skeletons from x-ray angiograms at arbitrary angles. The key to this problem is solving the correspondence problem; that is, determine a mapping between points in each image pair. This paper describes, in some detail, the two main steps in our approach: (1) we determine vessels that correspond between images to obtain a `coarse grained' solution that acts to focus our next step; (2) we determine the correspondence between points in corresponding vessels, this gives a `fine grained' solution enabling the 3D shape of the vessel to be computed. We use a model of a collection of vasculature during the first step, use the second step relies only on general assumptions about space- curves. There are several novelties: images can be at arbitrary angles; generalization from the collection to include new vasculature; and weak dependence on the kind of image data. Results show the approach is efficient in time and space, accurate and reliable, and robust to noise.

Citation Download Citation

Peter Hall, Milton Ngan, and Peter Andreae "Reconstructing vascular skeletons from x-ray angiograms", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310927

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