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Impact of optic media opacities and image compression on quantitative analysis of optical coherence tomography


Tappeiner, C; Barthelmes, D; Abegg, M H; Wolf, S; Fleischhauer, J C (2008). Impact of optic media opacities and image compression on quantitative analysis of optical coherence tomography. Investigative Ophthalmology and Visual Science, 49(4):1609-1614.

Abstract

PURPOSE: To analyze the impact of opacities in the optical pathway and image compression of 32-bit raw data to 8-bit jpg images on quantified optical coherence tomography (OCT) image analysis. METHODS: In 18 eyes of nine healthy subjects, OCT images were acquired from the central macula. To simulate opacities in the optical system, neutral-density (ND) filters with linear absorption spectra were placed between the OCT device and examined eyes. Light reflection profiles (LRPs) of images acquired with various ND filters were compared. LRPs of the 32-bit raw data were compared with those obtained from the 8-bit jpg compressed images. RESULTS: ND filters induced a linear decrease of reflectivity in OCT images, depending on initial signal intensity. Quantitative OCT analysis showed no significant difference between 32-bit raw data and 8-bit jpg files (P > 0.05). CONCLUSIONS: Quantitative OCT analysis is not significantly influenced by data compression. A mathematical model can correct for optical opacities to improve OCT images.

Abstract

PURPOSE: To analyze the impact of opacities in the optical pathway and image compression of 32-bit raw data to 8-bit jpg images on quantified optical coherence tomography (OCT) image analysis. METHODS: In 18 eyes of nine healthy subjects, OCT images were acquired from the central macula. To simulate opacities in the optical system, neutral-density (ND) filters with linear absorption spectra were placed between the OCT device and examined eyes. Light reflection profiles (LRPs) of images acquired with various ND filters were compared. LRPs of the 32-bit raw data were compared with those obtained from the 8-bit jpg compressed images. RESULTS: ND filters induced a linear decrease of reflectivity in OCT images, depending on initial signal intensity. Quantitative OCT analysis showed no significant difference between 32-bit raw data and 8-bit jpg files (P > 0.05). CONCLUSIONS: Quantitative OCT analysis is not significantly influenced by data compression. A mathematical model can correct for optical opacities to improve OCT images.

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10 citations in Web of Science®
11 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Ophthalmology Clinic
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:1 April 2008
Deposited On:09 Dec 2008 15:04
Last Modified:05 Apr 2016 12:39
Publisher:Association for Research in Vision and Ophthalmology
ISSN:0146-0404
Publisher DOI:https://doi.org/10.1167/iovs.07-1264
PubMed ID:18385081

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