Improving Non-Contact Tonometry through Advanced Applanation Techniques and Measurement of Corneal Deformation

dc.contributor.advisorScarcelli, Giuliano
dc.contributor.authorMuessig, James
dc.contributor.authorAckman, Moshe
dc.contributor.authorCho, Lauren
dc.contributor.authorDo, Kun
dc.contributor.authorGreen, Aaron
dc.contributor.authorKlueter, Sam
dc.contributor.authorKrakovsky, Eliana
dc.contributor.authorLocraft, Ross
dc.contributor.authorWu, Hongyi
dc.contributor.authorLin, Jonathan
dc.date.accessioned2020-04-26T20:45:25Z
dc.date.available2020-04-26T20:45:25Z
dc.date.issued2020
dc.description.abstractGlaucoma, a disease characterized by increased intraocular pressure (IOP) in the eyes, is the leading cause of preventable blindness worldwide. Accurate measurement of IOP is essential to early diagnosis of glaucoma in order to begin treatment and prevent long-term vision loss. Currently, non-contact tonometry, known as an “air-puff test”, is the most common diagnostic method despite its inaccessibility, discomfort, high cost, and reliance on an expert to operate. In order to improve upon this method, we designed an accurate and less invasive measurement system utilizing a novel depth-mapping neural network and a microcontroller-driven valve system. We applanated eyes with a variable-intensity air puff while imaging the deformation with a single camera. Our neural network then processed the image data and generated a three-dimensional deformation map. We compared our results to accepted tonometry measurements in order to validate the accuracy of our system as an alternative diagnostic device. With a lower pressure puff and simplified imaging setup, we were able to accurately measure IOP, improving existing diagnostic techniques in optometry.en_US
dc.description.sponsorshipGemstoneen_US
dc.identifierhttps://doi.org/10.13016/z9oc-2jex
dc.identifier.urihttp://hdl.handle.net/1903/25888
dc.language.isoen_USen_US
dc.relation.isAvailableAtMaryland Center for Undergraduate Research
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.subjectBioengineeringen_US
dc.subjectENGRen_US
dc.subjectTeam CONTACTen_US
dc.subjectGemstoneen_US
dc.subjectNon-contact Tonometryen_US
dc.subjectNeural Networken_US
dc.subjectApplanationen_US
dc.subjectGlaucomaen_US
dc.titleImproving Non-Contact Tonometry through Advanced Applanation Techniques and Measurement of Corneal Deformationen_US
dc.typePresentationen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Team CONTACT Poster.pdf
Size:
1.1 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.57 KB
Format:
Item-specific license agreed upon to submission
Description: