VascuSynth Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis

被引：118

作者：

Hamarneh, Ghassan ^{[1
]}

Jassi, Preet ^{[1
]}

机构：

[1] Simon Fraser Univ, Sch Comp Sci, Med Image Anal Lab, Burnaby, BC V5A 1S6, Canada

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2010年 / 34卷 / 08期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Simulation; Validation; Medical image analysis; Segmentation; Tubular; Tree like; Vasculature; Bifurcation; Ground-truth; 3D images; REPRESENTATION; VALIDATION; ALGORITHM; VESSELS; SCALE;

D O I：

10.1016/j.compmedimag.2010.06.002

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Automated segmentation and analysis of tree-like structures from 3D medical Images are important for many medical applications such as those dealing with blood vasculature or lung airways However there is an absence of large databases of expert segmentations and analyses of such 3D medical images which impede, the validation and training of proposed image analysis algorithms In this work we simulate volumetric Images of vascular trees and generate the corresponding ground-truth segmentations bifurcation locations branch properties and tree hierarchy The tree generation is performed by iteratively growing a vascular structure based on a user-defined (possibly spatially varying) oxygen demand map We describe the details of the algorithm and provide a variety of example results (C) 2010 Elsevier Ltd All rights reserved

引用

页码：605 / 616

页数：12

共 35 条

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