Abràmoff Michael D

Christopher Mark, Abràmoff Michael D, Tang Li, Gordon Mae O, Kass Michael A, Budenz Donald L et al.

3D optic nerve head shape, derived from stereo photos, significantly improved prediction of primary open-angle glaucoma development in ocular hypertension, suggesting utility for early screening and genetic studies.

Garvin Mona K, Lee Kyungmoo, Burns Trudy L, Abràmoff Michael D, Sonka Milan, Kwon Young H

This study found that SD-OCT ganglion cell layer thickness measurements in glaucoma patients are highly reproducible using two different algorithms, supporting reliable disease monitoring.

Demirkaya Nazli, van Dijk Hille W, van Schuppen Sanne M, Abràmoff Michael D, Garvin Mona K, Sonka Milan et al.

This study found that several retinal layers and the peripapillary RNFL significantly change thickness with age in healthy eyes, which is crucial for interpreting SD-OCT scans in glaucoma and other retinal diseases.

Lee Kyungmoo, Sonka Milan, Kwon Young H, Garvin Mona K, Abràmoff Michael D

An automated retinal angle adjustment in SD-OCT significantly improved peripapillary RNFL thickness reproducibility in glaucoma patients. This enhances monitoring consistency, potentially leading to better glaucoma management.

Springelkamp Henriët, Lee Kyungmoo, Ramdas Wishal D, Vingerling Johannes R, Hofman Albert, Klaver Caroline C W et al.

This study found that combining macular RNFL and RGCL thickness over larger areas significantly improves 3D OCT test-retest variability, crucial for reliable glaucoma monitoring.

Tang Li, Kardon Randy H, Wang Jui-Kai, Garvin Mona K, Lee Kyungmoo, Abràmoff Michael D

This study found that automated 3D analysis of optic disc volume from stereo fundus photos correlates well with OCT and expert grading, offering a cost-effective papilledema assessment, especially for telemedicine.

Garvin Mona K, Abràmoff Michael D, Lee Kyungmoo, Niemeijer Meindert, Sonka Milan, Kwon Young H

SD-OCT revealed a 2D nerve fiber bundle pattern by correlating macular ganglion cell and peripapillary nerve fiber layer thicknesses, with stronger correlations in glaucoma. This enhances glaucoma detection and monitoring.

Tang Li, Scheetz Todd E, Mackey David A, Hewitt Alex W, Fingert John H, Kwon Young H et al.

This study found automated 3D optic nerve head shape measurements are highly heritable. This suggests genetic factors strongly influence ONH shape, potentially aiding glaucoma risk assessment and genetic research.

Hu Zhihong, Abràmoff Michael D, Kwon Young H, Lee Kyungmoo, Garvin Mona K

Automated OCT segmentation of the neural canal opening (NCO) and cup correlated well with expert measurements, but some discrepancies exist. This tool could improve glaucoma monitoring by precisely defining optic nerve structures.

Abràmoff Michael D, Lee Kyungmoo, Niemeijer Meindert, Alward Wallace L M, Greenlee Emily C, Garvin Mona K et al.

This study found an automated OCT algorithm for optic nerve cup/rim segmentation performed similarly to expert glaucoma specialists, offering a promising objective tool for glaucoma assessment.

Kwon Young H, Adix Michael, Zimmerman M Bridget, Piette Scott, Greenlee Emily C, Alward Wallace L M et al.

This study found expert variability was the largest factor in cup-to-disc ratio measurements, exceeding camera or repeat imaging differences. Automated planimetry reduced variability, improving glaucoma assessment consistency.

Abràmoff Michael D, Alward Wallace L M, Greenlee Emily C, Shuba Lesya, Kim Chan Y, Fingert John H et al.

This study developed an automated algorithm for optic disc segmentation from stereo photos. It accurately identified disc features, performing comparably to glaucoma specialists, showing promise for objective glaucoma progression monitoring.