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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
Source PublicationMEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
2016-03-01
Volume54Issue:2-3Pages:511-524
SubtypeArticle
AbstractPrevious 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.
KeywordMicro-computed Tomography Multi-resolution Quantitative Analysis Vascular Networks
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1007/s11517-015-1337-0
WOS KeywordAUTOMATIC CENTERLINE EXTRACTION ; COMPUTED-TOMOGRAPHY ; VIRTUAL COLONOSCOPY ; IN-VIVO ; QUANTIFICATION ; ANGIOGENESIS ; ANGIOGRAPHY ; RETINOPATHY ; PROGENITOR ; ALGORITHM
Indexed BySCI
Language英语
Funding OrganizationProgram 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 Research AreaComputer Science ; Engineering ; Mathematical & Computational Biology ; Medical Informatics
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology ; Medical Informatics
WOS IDWOS:000372926000023
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12190
Collection中国科学院分子影像重点实验室
Corresponding AuthorLiang, Jimin
Affiliation1.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
Recommended Citation
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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