Fully-Automatic Branch Labelling of Voxel Vessel Structures

J. Bruijns

To appear at Vision, Modelling and Visualization (VMV01), Stuttgart, Germany, November 21 - 23, 2001


Abstract

Nowadays, it is possible to acquire volume representations of the brain which show a clear distinction in gray values between tissue and vessel voxels. In a previous paper a new tool, the self-adjusting probe, was introduced. This tool makes semi-automatic shape extraction, such as measuring a vessel's cross-sectional area, possible. Currently, the self-adjusting probe extracts shapes from a 3D triangle surface model. However, if two vessel branches are close together, it is possible that surface vertices of the neighbor vessel are included in the set of selected surface vertices which are used to extract the local shape of the vessel investigated. These erroneously included surface vertices deteriorate the accuracy of the estimated shape. Therefore, a method has been developed to give the vessel vertices a unique label per vessel branch. Now, surface vertices of neighbor vessel branches can be excluded because their label is different.


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