中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 中国科学院分子影像重点实验室
Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution

文献类型：期刊论文

作者Zhao, Fengjun1; Liang, Jimin1; Chen, Xueli1; Liu, Junting1; Chen, Dongmei1; Yang, Xiang1; Tian, Jie1,2
刊名MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
出版日期2016-03-01
卷号54期号:2-3页码:511-524
关键词Micro-computed Tomography Multi-resolution Quantitative Analysis Vascular Networks
DOI10.1007/s11517-015-1337-0
文献子类Article
英文摘要Previous studies showed that all the vascular parameters from both the morphological and topological parameters were affected with the altering of imaging resolutions. However, neither the sensitivity analysis of the vascular parameters at multiple resolutions nor the distinguishability estimation of vascular parameters from different data groups has been discussed. In this paper, we proposed a quantitative analysis method of vascular parameters for vascular networks of multi-resolution, by analyzing the sensitivity of vascular parameters at multiple resolutions and estimating the distinguishability of vascular parameters from different data groups. Combining the sensitivity and distinguishability, we designed a hybrid formulation to estimate the integrated performance of vascular parameters in a multi-resolution framework. Among the vascular parameters, degree of anisotropy and junction degree were two insensitive parameters that were nearly irrelevant with resolution degradation; vascular area, connectivity density, vascular length, vascular junction and segment number were five parameters that could better distinguish the vascular networks from different groups and abide by the ground truth. Vascular area, connectivity density, vascular length and segment number not only were insensitive to multi-resolution but could also better distinguish vascular networks from different groups, which provided guidance for the quantification of the vascular networks in multi-resolution frameworks.
WOS关键词AUTOMATIC CENTERLINE EXTRACTION ; COMPUTED-TOMOGRAPHY ; VIRTUAL COLONOSCOPY ; IN-VIVO ; QUANTIFICATION ; ANGIOGENESIS ; ANGIOGRAPHY ; RETINOPATHY ; PROGENITOR ; ALGORITHM
WOS研究方向Computer Science ; Engineering ; Mathematical & Computational Biology ; Medical Informatics
语种英语
WOS记录号WOS:000372926000023
资助机构Program of the National Basic Research and Development Program of China (973)(2011CB707702) ; National Natural Science Foundation of China(81090272 ; National Key Technology Support Program(2012BAI23B06) ; Natural Science Basic Research Plan in Shaanxi Province of China(2015JZ019) ; SKLMCCS(20120101) ; Fundamental Research Funds for the Central Universities ; 81227901 ; 81101083 ; 31371006)
源URL[http://ir.ia.ac.cn/handle/173211/12190]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Liang, Jimin
作者单位1.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian 710071, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Fengjun,Liang, Jimin,Chen, Xueli,et al. Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution[J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,2016,54(2-3):511-524.
APA Zhao, Fengjun.,Liang, Jimin.,Chen, Xueli.,Liu, Junting.,Chen, Dongmei.,...&Tian, Jie.(2016).Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution.MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,54(2-3),511-524.
MLA Zhao, Fengjun,et al."Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution".MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 54.2-3(2016):511-524.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。