Vascular shape segmentation and structure extraction using a shape-based region-growing model

Vascular shape segmentation and structure extraction using a shape-based region-growing model

A new, practical, and efficient approach is proposed for 3D vascular segmentation and bifurcation structure extraction. The method uses a combination of mathematical morphology, region-growing schemes, and shape features in addition to greyscale information. By an extension of math-morphological ope...

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Hauptverfasser: Masutani, Yoshitaka, Schiemann, Thomas, Höhne, Karl-Heinz
Format: Buchkapitel
Sprache:eng
Schlagworte:
Bifurcation Structure
Bounded Space
Initial Shape
Mathematical Morphology
Object Boundary
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creator Masutani, Yoshitaka
Schiemann, Thomas
Höhne, Karl-Heinz
description A new, practical, and efficient approach is proposed for 3D vascular segmentation and bifurcation structure extraction. The method uses a combination of mathematical morphology, region-growing schemes, and shape features in addition to greyscale information. By an extension of math-morphological operations within bounded space of vascular shape, smooth and natural region-growing and sensitivity-controllable bifurcation detection were realized. The algorithm was implemented in the interactive segmentation and visualization software package VOXEL-MAN and validated with clinical data of X-ray CT angiography and MRA.
doi_str_mv 10.1007/BFb0056314
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identifier ISSN: 0302-9743
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1611-3349
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subjects Bifurcation Structure
Bounded Space
Initial Shape
Mathematical Morphology
Object Boundary
title Vascular shape segmentation and structure extraction using a shape-based region-growing model
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