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Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution

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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.

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Acknowledgments

This work was supported by the Program of the National Basic Research and Development Program of China (973) under Grant No. 2011CB707702, the National Natural Science Foundation of China under Grant Nos. 81090272, 81227901, 81101083, 31371006, the National Key Technology Support Program under Grant No. 2012BAI23B06, the Natural Science Basic Research Plan in Shaanxi Province of China under Grant No. 2015JZ019, the Open Research Project under Grant 20120101 from SKLMCCS and the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, 710071, China

    Fengjun Zhao, Jimin Liang, Xueli Chen, Junting Liu, Dongmei Chen, Xiang Yang & Jie Tian

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Jie Tian

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  1. Fengjun Zhao
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Correspondence to Jimin Liang.

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The animal protocols used in this study were approved by the Xidian University Ethics Review Board. All procedures were performed in accordance with the Xidian University Guide for the Care and Use of Laboratory Animals formulated by the National Society for Medical Research.

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Zhao, F., Liang, J., Chen, X. et al. Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution. Med Biol Eng Comput 54, 511–524 (2016). https://doi.org/10.1007/s11517-015-1337-0

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  • DOI: https://doi.org/10.1007/s11517-015-1337-0

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