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

被引：0

作者：

Masutani, Y ^{[1
]}

Schiemann, T ^{[1
]}

Höhne, KH ^{[1
]}

机构：

[1] Univ Hamburg, Hosp Eppendorf, Inst Math & Comp Sci Med, D-20246 Hamburg, Germany

来源：

MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI'98 | 1998年 / 1496卷

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1242 / 1249

页数：8

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