Research Papers: Imaging

Automated computational framework of blood vessel quantification in chick chorioallantoic membrane angiogenesis

[+] Author Affiliations
Peng Shi

Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, Fujian 350117, China

Jinsheng Hong

Fujian Medical University, First Affiliated Hospital, Department of Radiation Oncology, Laboratory of Radiation Biology, Fuzhou, Fujian 350005, China

Yue Huang

Xiamen University, School of Information Science and Engineering, Xiamen, Fujian 361005, China

Zhenhuan Zhang

UF Shands Cancer Center, Department of Radiation Oncology, Gainesville, Florida 32608, United States

Mei Zhang

UF Shands Cancer Center, Department of Radiation Oncology, Gainesville, Florida 32608, United States

Lurong Zhang

Fujian Medical University, First Affiliated Hospital, Department of Radiation Oncology, Laboratory of Radiation Biology, Fuzhou, Fujian 350005, China

UF Shands Cancer Center, Department of Radiation Oncology, Gainesville, Florida 32608, United States

J. Biomed. Opt. 19(10), 106005 (Oct 02, 2014). doi:10.1117/1.JBO.19.10.106005
History: Received May 16, 2014; Revised August 24, 2014; Accepted September 9, 2014
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Abstract.  Chick chorioallantoic membrane (CAM) angiogenesis assay has been widely used for finding drugs targeting new blood vessel development in cancer research. In addition to the setup materials and protocols, laboratory findings depend on the quantification and analysis of microscopic blood vessel images. However, it is still a challenging problem because of the high complexity of blood vessel branching structures. We applied preprocessing on CAM microscopic images by keeping the integrity of minor branches in the vessel structure. We then proposed an efficient way to automatically extract blood vessel centerlines based on vector tracing starting from detected seed points. Finally, all branches were coded to construct an abstract model of the branching structure, which enabled more accurate modeling for in-depth analysis. The framework was applied in quantifying Icaritin (ICT) inhibition effects on angiogenesis in a CAM model. Experimental results showed the high accuracy in blood vessel quantification and modeling compared with semimanual measurements. Meanwhile, a set of blood vessel growth indicators were extracted to provide fully automated analysis for angiogenesis assays. Further analysis proved that ICT took effect in a dose-dependent manner which could be applied in suppressing tumor blood vessel growth.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Peng Shi ; Jinsheng Hong ; Yue Huang ; Zhenhuan Zhang ; Mei Zhang, et al.
"Automated computational framework of blood vessel quantification in chick chorioallantoic membrane angiogenesis", J. Biomed. Opt. 19(10), 106005 (Oct 02, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.10.106005


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