In vivo photoacoustic mouse eye imaging of healing after chemical injury and automated eyeball surface estimation based on a random sample consensus algorithm

Seungwan Jeon; Hyun Beom Song; Jaewoo Kim; Byung Joo Lee; Jeong Hun Kim; Chulhong Kim

doi:10.1117/12.2251289

3 March 2017 In vivo photoacoustic mouse eye imaging of healing after chemical injury and automated eyeball surface estimation based on a random sample consensus algorithm

Seungwan Jeon, Hyun Beom Song, Jaewoo Kim, Byung Joo Lee, Jeong Hun Kim, Chulhong Kim

Author Affiliations +

Proceedings Volume 10064, Photons Plus Ultrasound: Imaging and Sensing 2017; 100640D (2017) https://doi.org/10.1117/12.2251289
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Ocular chemical damage may induce limbal vessel ischemia and neovascularization, but the pathophysiology of the disease is not completely known. To observe changes in blood vessels after alkaline burn, we monitored the anterior segment and choroidal vasculature using a photoacoustic microscope (OR-PAM). We were able to observe not only the iris blood vessels but also the choroidal vessels under the sclera, which were difficult to be observed with conventional photographs. After alkali burning, we observed neovascularization and limbal ischemia and successfully tracked changes in vasculature during the 7-day healing process. We also used the RANdom SAmple Consensus (RANSAC) method to segment the abnormally generated blood vessels in the cornea by detecting the eyeball surface and successfully visualize the distance from each PA signal to the center of the eye. We believe that photoacoustic imaging has an important potential to reveal the pathophysiology of limb ischemia and neovascularization.

Citation Download Citation

Seungwan Jeon, Hyun Beom Song, Jaewoo Kim, Byung Joo Lee, Jeong Hun Kim, and Chulhong Kim "In vivo photoacoustic mouse eye imaging of healing after chemical injury and automated eyeball surface estimation based on a random sample consensus algorithm", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100640D (3 March 2017); https://doi.org/10.1117/12.2251289

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