23 April 2018 Three-dimensional Hessian matrix-based quantitative vascular imaging of rat iris with optical-resolution photoacoustic microscopy in vivo
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Abstract
For the diagnosis and evaluation of ophthalmic diseases, imaging and quantitative characterization of vasculature in the iris are very important. The recently developed photoacoustic imaging, which is ultrasensitive in imaging endogenous hemoglobin molecules, provides a highly efficient label-free method for imaging blood vasculature in the iris. However, the development of advanced vascular quantification algorithms is still needed to enable accurate characterization of the underlying vasculature. We have developed a vascular information quantification algorithm by adopting a three-dimensional (3-D) Hessian matrix and applied for processing iris vasculature images obtained with a custom-built optical-resolution photoacoustic imaging system (OR-PAM). For the first time, we demonstrate in vivo 3-D vascular structures of a rat iris with a the label-free imaging method and also accurately extract quantitative vascular information, such as vessel diameter, vascular density, and vascular tortuosity. Our results indicate that the developed algorithm is capable of quantifying the vasculature in the 3-D photoacoustic images of the iris in-vivo, thus enhancing the diagnostic capability of the OR-PAM system for vascular-related ophthalmic diseases in vivo.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Huangxuan Zhao, Huangxuan Zhao, Guangsong Wang, Guangsong Wang, Riqiang Lin, Riqiang Lin, Xiaojing Gong, Xiaojing Gong, Liang Song, Liang Song, Tan Li, Tan Li, Wenjia Wang, Wenjia Wang, Kunya Zhang, Kunya Zhang, Xiuqing Qian, Xiuqing Qian, Haixia Zhang, Haixia Zhang, Lin Li, Lin Li, Zhicheng Liu, Zhicheng Liu, Chengbo Liu, Chengbo Liu, } "Three-dimensional Hessian matrix-based quantitative vascular imaging of rat iris with optical-resolution photoacoustic microscopy in vivo," Journal of Biomedical Optics 23(4), 046006 (23 April 2018). https://doi.org/10.1117/1.JBO.23.4.046006 . Submission: Received: 16 January 2018; Accepted: 19 March 2018
Received: 16 January 2018; Accepted: 19 March 2018; Published: 23 April 2018
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