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
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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.
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Seungwan Jeon, Seungwan Jeon, Hyun Beom Song, Hyun Beom Song, Jaewoo Kim, Jaewoo Kim, Byung Joo Lee, Byung Joo Lee, Jeong Hun Kim, Jeong Hun Kim, Chulhong Kim, 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); doi: 10.1117/12.2251289; https://doi.org/10.1117/12.2251289
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