@inproceedings{8adbf33b8f5641afa2ad7fe214fe3b9e,
title = "In vivo photoacoustic mouse eye imaging of healing after chemical injury and automated eyeball surface estimation based on a random sample consensus algorithm",
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.",
keywords = "Image processing, In vivo biomedical imaging, Neovascularisation, Ophthalmology, Optical-resolution PAM, Photoacoustic microscopy, Random sample consensus, Surface fitting",
author = "Seungwan Jeon and Song, {Hyun Beom} and Jaewoo Kim and Lee, {Byung Joo} and Kim, {Jeong Hun} and Chulhong Kim",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; null ; Conference date: 29-01-2017 Through 01-02-2017",
year = "2017",
doi = "10.1117/12.2251289",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Oraevsky, {Alexander A.} and Wang, {Lihong V.}",
booktitle = "Photons Plus Ultrasound",
}