title: Multiparametric evaluation of hindlimb ischemia using time-series indocyanine green fluorescence imaging.
abstract: Peripheral arterial disease (PAD) can further cause lower limb ischemia. Quantitative evaluation of the vascular perfusion in the ischemic limb contributes to diagnosis of PAD and preclinical development of new drug. In vivo time-series indocyanine green (ICG) fluorescence imaging can noninvasively monitor blood flow and has a deep tissue penetration. The perfusion rate estimated from the time-series ICG images is not enough for the evaluation of hindlimb ischemia. The information relevant to the vascular density is also important, because angiogenesis is an essential mechanism for post-ischemic recovery. In this paper, a multiparametric evaluation method is proposed for simultaneous estimation of multiple vascular perfusion parameters, including not only the perfusion rate but also the vascular perfusion density and the time-varying ICG concentration in veins. The target method is based on a mathematical model of ICG pharmacokinetics in the mouse hindlimb. The regression analysis performed on the time-series ICG images obtained from a dynamic reflectance fluorescence imaging system. The results demonstrate that the estimated multiple parameters are effective to quantitatively evaluate the vascular perfusion and distinguish hypo-perfused tissues from well-perfused tissues in the mouse hindlimb. The proposed multiparametric evaluation method could be useful for PAD diagnosis. The estimated perfusion rate and vascular perfusion density maps (left) and the time-varying ICG concentration in veins of the ankle region (right) of the normal and ischemic hindlimbs.
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
authors.forename: Huizhi
authors.initials: H
authors.lastname: Guang
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
authors.forename: Chuangjian
authors.initials: C
authors.lastname: Cai
authors.affiliation: Department of Experimental Molecular Imaging, RWTH Aachen University Hospital, Aachen, 52074, Germany.
authors.forename: Simin
authors.initials: S
authors.lastname: Zuo
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
authors.forename: Wenjuan
authors.initials: W
authors.lastname: Cai
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
authors.forename: Jiulou
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.|Center for Biomedical Imaging Research, Tsinghua University, Beijing, 100084, China.
authors.forename: Jianwen
authors.initials: J
authors.lastname: Luo
mesh_terms: D000818:Animals; D003287:Contrast Media / Q000493:pharmacokinetics; D004195:Disease Models, Animal; D005260:Female; D006614:Hindlimb / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000378:metabolism; D007208:Indocyanine Green / Q000493:pharmacokinetics; D007511:Ischemia / Q000000981:diagnostic imaging* / Q000378:metabolism; D008807:Mice, Inbred BALB C; D008819:Mice, Nude; D008955:Models, Cardiovascular; D061848:Optical Imaging; D055420:Perfusion Imaging; D012044:Regression Analysis; D013997:Time Factors
chemical_list: D003287:Contrast Media; D007208:Indocyanine Green
keywords: Hindlimb ischemia; time-series ICG imaging; vascular perfusion