SpectraMosaic: An exploratory tool for the interactive visual analysis of magnetic resonance spectroscopy data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00118589" target="_blank" >RIV/00216224:14330/19:00118589 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.2312/vcbm.20191225" target="_blank" >http://dx.doi.org/10.2312/vcbm.20191225</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2312/vcbm.20191225" target="_blank" >10.2312/vcbm.20191225</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
SpectraMosaic: An exploratory tool for the interactive visual analysis of magnetic resonance spectroscopy data
Popis výsledku v původním jazyce
Magnetic resonance spectroscopy (MRS) allows for assessment of tissue metabolite characteristics used often for early detection and treatment evaluation of brain-related pathologies. However, a steep learning curve for metabolite interpretation, paired with limited visualization tools, have constrained the more widespread adoption of MRS in clinical practice. In this design study, we collaborated with domain experts to design a novel visualization tool for the exploration of tissue metabolite concentration ratios in MRS clinical and research studies. We present a data and task analysis for this domain, with categorization of MRS data attributes into tiers of visual priority. We furthermore introduce a novel set of visual encodings for these attributes. Our result is SpectraMosaic (Figure 1), an interactive insight-generation tool for rapid exploration and comparison of metabolite ratios. We validate our approach with two case studies from MR spectroscopy experts, providing early qualitative evidence of the efficacy of the system and affording deeper insights into these complex data.
Název v anglickém jazyce
SpectraMosaic: An exploratory tool for the interactive visual analysis of magnetic resonance spectroscopy data
Popis výsledku anglicky
Magnetic resonance spectroscopy (MRS) allows for assessment of tissue metabolite characteristics used often for early detection and treatment evaluation of brain-related pathologies. However, a steep learning curve for metabolite interpretation, paired with limited visualization tools, have constrained the more widespread adoption of MRS in clinical practice. In this design study, we collaborated with domain experts to design a novel visualization tool for the exploration of tissue metabolite concentration ratios in MRS clinical and research studies. We present a data and task analysis for this domain, with categorization of MRS data attributes into tiers of visual priority. We furthermore introduce a novel set of visual encodings for these attributes. Our result is SpectraMosaic (Figure 1), an interactive insight-generation tool for rapid exploration and comparison of metabolite ratios. We validate our approach with two case studies from MR spectroscopy experts, providing early qualitative evidence of the efficacy of the system and affording deeper insights into these complex data.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2019
ISBN
9783038680819
ISSN
2070-5786
e-ISSN
—
Počet stran výsledku
10
Strana od-do
1-10
Název nakladatele
Eurographics Association
Místo vydání
Brno, Czech Republic
Místo konání akce
Brno, Czech Republic
Datum konání akce
1. 1. 2019
Typ akce podle státní příslušnosti
CST - Celostátní akce
Kód UT WoS článku
—