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Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution
Zhao, Fengjun1; Liang, Jimin1; Chen, Xueli1; Liu, Junting1; Chen, Dongmei1; Yang, Xiang1; Tian, Jie1,2
2016-03-01
发表期刊MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
卷号54期号:2-3页码:511-524
文章类型Article
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.
关键词Micro-computed Tomography Multi-resolution Quantitative Analysis Vascular Networks
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1007/s11517-015-1337-0
关键词[WOS]AUTOMATIC CENTERLINE EXTRACTION ; COMPUTED-TOMOGRAPHY ; VIRTUAL COLONOSCOPY ; IN-VIVO ; QUANTIFICATION ; ANGIOGENESIS ; ANGIOGRAPHY ; RETINOPATHY ; PROGENITOR ; ALGORITHM
收录类别SCI
语种英语
项目资助者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)
WOS研究方向Computer Science ; Engineering ; Mathematical & Computational Biology ; Medical Informatics
WOS类目Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology ; Medical Informatics
WOS记录号WOS:000372926000023
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12190
专题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.
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