Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
| 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
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| Source Publication | MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
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| 2016-03-01 | |
| Volume | 54Issue:2-3Pages:511-524 |
| Subtype | Article |
| Abstract | 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. |
| Keyword | Micro-computed Tomography Multi-resolution Quantitative Analysis Vascular Networks |
| WOS Headings | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| DOI | 10.1007/s11517-015-1337-0 |
| WOS Keyword | AUTOMATIC CENTERLINE EXTRACTION ; COMPUTED-TOMOGRAPHY ; VIRTUAL COLONOSCOPY ; IN-VIVO ; QUANTIFICATION ; ANGIOGENESIS ; ANGIOGRAPHY ; RETINOPATHY ; PROGENITOR ; ALGORITHM |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | 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 Research Area | Computer Science ; Engineering ; Mathematical & Computational Biology ; Medical Informatics |
| WOS Subject | Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology ; Medical Informatics |
| WOS ID | WOS:000372926000023 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/12190 |
| Collection | 中国科学院分子影像重点实验室 |
| Corresponding Author | Liang, Jimin |
| Affiliation | 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 |
| 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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| art%3A10.1007%2Fs115（3676KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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