Abstract

In previous work, we presented an algorithm to synthesize volumetric images of vascular trees and generate the corresponding ground truth segmentations, bifurcation locations, branch properties, and tree hierarchy. In this work, we provide the software needed to simulate these volumes. Our software expects a number of physical parameters and oxygen demand maps to produce 3D volumetric images of vasculature, as well as information about the bifurcation locations, tree hierarchy and branch radii in a GXL file. We foresee our software useful for large scale evaluation studies of medical image segmentation and analysis software.

Highlights

  • 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, lung airways, or neuronal structures

  • In [1], we presented an algorithm to synthesize volumetric images of vascular trees and generate the corresponding ground truth segmentations, bifurcation locations, branch properties, and tree hierarchy

  • Our software expects a number of physical parameters and oxygen demand maps to produce 3D volumetric images of vasculature, as well as information about the bifurcation locations, tree hierarchy and branch radii in a Graph eXchange Language (GXL) file

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Summary

Introduction

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, lung airways, or neuronal structures. In [1], we presented an algorithm to synthesize volumetric images of vascular trees and generate the corresponding ground truth segmentations, bifurcation locations, branch properties, and tree hierarchy. Our software expects a number of physical parameters and oxygen demand maps and produces 3D volumetric images as well as a Graph eXchange Language (GXL) 1 file containing information about the bifurcation locations, branch radii and tree hierarchy. With these volumes and corresponding ground truth data available, large scale validation and evaluation studies can be performed on methods designed to analyze branching tubular structures such as vessel segmentation and bifurcation detection methods

Overview of the Simulation Method
Downloading and Building the Software Libraries
Compile VascuSynth
Input Parameter File
Output Image Name File
Noise Parameter File
Vascular Parameter File
Run VascuSynth
The Volumetric Image
Conclusions and Future Work

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