Combined 3D angio-volume reconstruction method
First Claim
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1. A method for 3D angio-volume reconstruction of a three-dimensional subject based on 2D projection exposures, comprising the steps of:
- obtaining a plurality of 2D mask images of a three-dimensional subject with no contrast agent in said subject and producing a 3D angio-volume dataset V1 based on said 2D mask images;
obtaining a plurality of 2D fill images of said subject, with contrast agent in said subject, and producing a 3D angio-volume dataset V2 based on said 2D fill images, said dataset V2 containing a vessel tree made visible by said contrast agent; and
isolating said vessel tree in said dataset V2 by segmentation, scaling the isolated vessel tree to obtain a scaled isolated vessel tree, and adding said scaled isolated vessel tree to said dataset V1 to produce a 3D angio-volume reconstruction without shadowing artifacts.
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Abstract
In a 3D angio-volume reconstruction method for a three-dimensional subject based on 2D projection exposures, shadowing artifacts are avoided by producing a 3D angio-volume dataset based on 2D mask images and a 3D angio-volume dataset based on 2D fill images, and a vessel tree is isolated in the fill volume dataset by a segmentation and is added to the mask image volume dataset after scaling.
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4 Claims
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1. A method for 3D angio-volume reconstruction of a three-dimensional subject based on 2D projection exposures, comprising the steps of:
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obtaining a plurality of 2D mask images of a three-dimensional subject with no contrast agent in said subject and producing a 3D angio-volume dataset V1 based on said 2D mask images;
obtaining a plurality of 2D fill images of said subject, with contrast agent in said subject, and producing a 3D angio-volume dataset V2 based on said 2D fill images, said dataset V2 containing a vessel tree made visible by said contrast agent; and
isolating said vessel tree in said dataset V2 by segmentation, scaling the isolated vessel tree to obtain a scaled isolated vessel tree, and adding said scaled isolated vessel tree to said dataset V1 to produce a 3D angio-volume reconstruction without shadowing artifacts. - View Dependent Claims (2, 3, 4)
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Specification