Journal article
Quantitative analysis of retinal OCT
Medical Image Analysis, Vol.33, pp.165-169
10/2016
DOI: 10.1016/j.media.2016.06.001
PMID: 27503080
Abstract
Clinical acceptance of 3-D OCT retinal imaging brought rapid development of quantitative 3-D analysis of retinal layers, vasculature, retinal lesions as well as facilitated new research in retinal diseases. One of the cornerstones of many such analyses is segmentation and thickness quantification of retinal layers and the choroid, with an inherently 3-D simultaneous multi-layer LOGISMOS (Layered Optimal Graph Image Segmentation for Multiple Objects and Surfaces) segmentation approach being extremely well suited for the task. Once retinal layers are segmented, regional thickness, brightness, or texture-based indices of individual layers can be easily determined and thus contribute to our understanding of retinal or optic nerve head (ONH) disease processes and can be employed for determination of disease status, treatment responses, visual function, etc. Out of many applications, examples provided in this paper focus on image-guided therapy and outcome prediction in age-related macular degeneration and on assessing visual function from retinal layer structure in glaucoma.
Details
- Title: Subtitle
- Quantitative analysis of retinal OCT
- Creators
- Milan Sonka - Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, IA 52242, United StatesMichael D Abràmoff - Iowa Institute for Biomedical Imaging, The University of Iowa, Iowa City, IA 52242, United States
- Resource Type
- Journal article
- Publication Details
- Medical Image Analysis, Vol.33, pp.165-169
- DOI
- 10.1016/j.media.2016.06.001
- PMID
- 27503080
- NLM abbreviation
- Med Image Anal
- ISSN
- 1361-8415
- eISSN
- 1361-8423
- Publisher
- Elsevier B.V
- Grant note
- DOI: 10.13039/100000002, name: NIH, award: R01 EY019112, R01 EY018853, R01 EB004640; name: Depart; name: ment of Veterans; name: Aff; name: airs
- Language
- English
- Date published
- 10/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806379202771
Metrics
23 Record Views