Visual Analysis of 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 3D imaging of the human retina and thus, plays a fundamental role in detecting a wide range of ocular diseases. Despite OCT's diagnostic value, managing and analyzing resulting data is challenging. We apply two visual analytics strategies for supporting retinal assessment in practice. First, we provide an interface for unifying and structuring data from different sources into a common basis. Fusing that basis with medical records and augmenting it with analytically derived information facilitates thorough investigations. Second, we present a tailored visual analysis tool for presenting, selecting, and emphasizing different aspects of the attributed data. This enables free exploration, reducing the data to relevant subsets, and focusing on details. By applying both strategies, we effectively enhance the management and the analysis of OCT data for assisting medical diagnoses.
Description
@inproceedings{10.2312:eurova.20171117,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Michael Sedlmair and Christian Tominski},
title = {{Visual Analysis of Optical Coherence Tomography Data in Ophthalmology}},
author = {Röhlig, Martin and Rosenthal, Paul and Schmidt, Christoph and Schumann, Heidrun and Stachs, Oliver},
year = {2017},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-042-0},
DOI = {10.2312/eurova.20171117}
}