A Tool for the Semiautomatic Acquisition of the Morphological Data of Blood Vessel Networks

M. Cannataro, P. Guzzi, G. Tradigo, P. Veltri
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引用次数: 4

Abstract

The simulation of the dynamics of the blood flow in the venous system of the lower limb is an important tool for supporting clinical research and for suggesting possible treatments for many diseases, e.g. for enhancing the surgical treatment of chronic venous insufficiency (CVI). Nevertheless the accuracy of the simulation of the blood flow is strictly related to the morphological data characterizing the investigated venous system. Although some of these data can be extracted from the observation of the real blood flow of a patient, e.g. through the acquisition of a set of images, the extraction of such values is often performed in a manual way, so the need for the automatic induction of parameters arises. The paper presents a software module that allows the semiautomatic acquisition of the morphological data of the venous system of a patient. The tool, developed as a plugin of the ImageJ imaging platform, receives in input a DICOM file containing the computerized tomography (CT) of the vessels network of the lower limb, and produces in a semi-automatic way a weighted graph of the network. This model can be used as the input for a subsequent simulation of the system.
血管网络形态数据的半自动采集工具
下肢静脉系统血流动力学的模拟是支持临床研究和为许多疾病提供可能的治疗方法的重要工具,例如加强慢性静脉功能不全(CVI)的外科治疗。然而,血流模拟的准确性与所研究的静脉系统的形态学数据密切相关。虽然其中一些数据可以通过观察患者的真实血流来提取,例如通过获取一组图像,但这些值的提取通常是通过手动方式进行的,因此需要自动诱导参数。本文提出了一个软件模块,允许半自动采集病人静脉系统的形态数据。该工具作为ImageJ成像平台的插件开发,在输入中接收包含下肢血管网络的计算机断层扫描(CT)的DICOM文件,并以半自动方式生成网络的加权图。该模型可用作系统后续仿真的输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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