Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Optical coherence tomography (OCT) enables noninvasive high-resolution imaging of the human retina and therefore, plays a fundamental role in detecting a wide range of ocular diseases. Yet, OCT data often vary in quality and show strong parameter dependencies. We propose a visual analysis approach to support users in understanding the influence of parameters on different aspects of the data. First, we outline the problem scope and derive requirements for a visual parameter analysis of OCT data. Second, we devise matched visual designs that disclose the impact of specific parameter values and the relationships between multiple parameter settings. With our systematic approach we aim at helping users in choosing suitable parameter settings and finding a balance between acquisition effort and data quality.
Description
@inproceedings{10.2312:eurp.20171176,
booktitle = {EuroVis 2017 - Posters},
editor = {Anna Puig Puig and Tobias Isenberg},
title = {{Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology}},
author = {Röhlig, Martin and Luboschik, Martin and Prakasam, Ruby Kala and Stachs, Oliver and Schumann, Heidrun},
year = {2017},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-044-4},
DOI = {10.2312/eurp.20171176}
}