title: In vivo quantitative evaluation of vascular parameters for angiogenesis based on sparse principal component analysis and aggregated boosted trees.
abstract: To solve the multicollinearity issue and unequal contribution of vascular parameters for the quantification of angiogenesis, we developed a quantification evaluation method of vascular parameters for angiogenesis based on in vivo micro-CT imaging of hindlimb ischemic model mice. Taking vascular volume as the ground truth parameter, nine vascular parameters were first assembled into sparse principal components (PCs) to reduce the multicolinearity issue. Aggregated boosted trees (ABTs) were then employed to analyze the importance of vascular parameters for the quantification of angiogenesis via the loadings of sparse PCs. The results demonstrated that vascular volume was mainly characterized by vascular area, vascular junction, connectivity density, segment number and vascular length, which indicated they were the key vascular parameters for the quantification of angiogenesis. The proposed quantitative evaluation method was compared with both the ABTs directly using the nine vascular parameters and Pearson correlation, which were consistent. In contrast to the ABTs directly using the vascular parameters, the proposed method can select all the key vascular parameters simultaneously, because all the key vascular parameters were assembled into the sparse PCs with the highest relative importance.
authors.affiliation: Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
authors.forename: Fengjun
authors.initials: F
authors.lastname: Zhao
authors.forename: Junting
authors.initials: J
authors.lastname: Liu
authors.forename: Xiaochao
authors.initials: X
authors.lastname: Qu
authors.forename: Xianhui
authors.initials: X
authors.lastname: Xu
authors.forename: Xueli
authors.initials: X
authors.lastname: Chen
authors.forename: Xiang
authors.initials: X
authors.lastname: Yang
authors.forename: Feng
authors.initials: F
authors.lastname: Cao
authors.forename: Jimin
authors.initials: J
authors.lastname: Liang
authors.forename: Jie
authors.initials: J
authors.lastname: Tian
mesh_terms: D000818:Animals; D004195:Disease Models, Animal; D006614:Hindlimb / Q000098:blood supply*; D007511:Ischemia / Q000473:pathology*; D008297:Male; D051379:Mice; D015233:Models, Statistical; D009389:Neovascularization, Pathologic; D025341:Principal Component Analysis; D055114:X-Ray Microtomography / Q000379:methods*