A Visual Encoding System for Comparative Exploration of Magnetic Resonance Spectroscopy Data

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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Magnetic resonance spectroscopy (MRS) allows for assessment of tissue metabolite characteristics used often for early detection and treatment evaluation of intracranial pathologies. In particular, this non-invasive technique is important in the study of metabolic changes related to brain tumors, strokes, seizure disorders, Alzheimer's disease, depression, as well as other diseases and disorders affecting the brain. However, meaningful variations in ratios of tissue metabolites within a sample area are difficult to capture with current visualization tools. Furthermore, the learning curve to interpretation is steep and limits the more widespread adoption of MRS in clinical practice. In this work we present a novel, tiered visual encoding system for multidimensional MRS data to aid in the visual exploration of metabolite concentration ratios. Our system was developed in close collaboration with domain experts including detailed data and task analyses. This visual encoding system was subsequently realized as part of an interactive insight-generation tool for rapid exploration and comparison of metabolite ratio variation for deeper insights to these complex data.
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@inproceedings{
10.2312:eurp.20191137
, booktitle = {
EuroVis 2019 - Posters
}, editor = {
Madeiras Pereira, João and Raidou, Renata Georgia
}, title = {{
A Visual Encoding System for Comparative Exploration of Magnetic Resonance Spectroscopy Data
}}, author = {
Garrison, Laura
 and
Vasicek, Jakub
 and
Grüner, Renate
 and
Smit, Noeska Natasja
 and
Bruckner, Stefan
}, year = {
2019
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-088-8
}, DOI = {
10.2312/eurp.20191137
} }
Citation