Quantitative analysis of 3D vasculature for evaluation of angiogenesis in liver fibrosis with SR-μCT  

作　　者：Hai Tan Yi Fu Da-Dong Wang Xi Zhang Ti-Qiao Xiao 

机构地区：[1]Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Jiading Campus [2]University of Chinese Academy of Sciences [3]Department of Radiology, Cancer Hospital, Fudan University [4]Department of Oncology, Shanghai Medical College, Fudan University [5]Quantitative Imaging

出　　处：《Nuclear Science and Techniques》2016年第5期255-263,共9页核技术（英文）

基　　金：supported by the National Basic Research Program of China(No.2010CB834301);CAS-CSIRO Collaborative Research Project(GJHZ1303);the Shanghai Municipal Natural Science Foundation(No.11ZR1407800);the Joint Funds of the National Natural Science Foundation of China(Nos.U1232205,81430087 and81271574)

摘　　要：The micro-CT imaging of vasculature is a powerful tool for evaluation of angiogenesis,a prominent characteristic of hepatic fibrosis.The segment or bifurcation density,which is usually adopted to evaluate the degree of hepatic fibrosis,does not always work and may lead to incorrect assessment,especially when the threedimensional vasculature obtained is imperfect in sample preparation or image collection.In this paper,we propose a new parameter to solve this problem.The experimental results demonstrate that the method is robust and reliable,and is practical for angiogenesis evaluation,despite of image data imperfections.This quantitative analysis method can be extended to investigate other kinds of diseases in which vasculature change is a key indicator.The micro-CT imaging of vasculature is a powerful tool for evaluation of angiogenesis, a prominent characteristic of hepatic fibrosis. The segment or bifurcation density, which is usually adopted to evaluate the degree of hepatic fibrosis, does not always work and may lead to incorrect assessment, especially when the three-dimensional vasculature obtained is imperfect in sample preparation or image collection. In this paper, we propose a new parameter to solve this problem. The experimental results demonstrate that the method is robust and reliable, and is practical for angiogenesis evaluation, despite ofimage data imperfections. This quantitative analysis method can be extended to investigate other kinds of diseases in which vasculature change is a key indicator.

关 键 词：血管生成 肝纤维化 CT成像 评价 三维 定量分析方法 图像采集 样品制备 

分 类 号：R575.2[医药卫生—消化系统] R816.5[医药卫生—内科学]