Interactive visual exploration of metabolite ratios in MR spectroscopy studies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00118588" target="_blank" >RIV/00216224:14330/20:00118588 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.cag.2020.08.001" target="_blank" >https://doi.org/10.1016/j.cag.2020.08.001</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cag.2020.08.001" target="_blank" >10.1016/j.cag.2020.08.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Interactive visual exploration of metabolite ratios in MR spectroscopy studies

Popis výsledku v původním jazyce

Magnetic resonance spectroscopy (MRS) is an advanced biochemical technique used to identify metabolic compounds in living tissue. While its sensitivity and specificity to chemical imbalances render it a valuable tool in clinical assessment, the results from this modality are abstract and difficult to interpret. With this design study we characterized and explored the tasks and requirements for evaluating these data from the perspective of a MRS research specialist. Our resulting tool, SpectraMosaic, links with upstream spectroscopy quantification software to provide a means for precise interactive visual analysis of metabolites with both single- and multi-peak spectral signatures. Using a layered visual approach, SpectraMosaic allows researchers to analyze any permutation of metabolites in ratio form for an entire cohort, or by sample region, individual, acquisition date, or brain activity status at the time of acquisition. A case study with three MRS researchers demonstrates the utility of our approach in rapid and iterative spectral data analysis. (C) 2020 The Author(s). Published by Elsevier Ltd.

Název v anglickém jazyce

Interactive visual exploration of metabolite ratios in MR spectroscopy studies

Popis výsledku anglicky

Magnetic resonance spectroscopy (MRS) is an advanced biochemical technique used to identify metabolic compounds in living tissue. While its sensitivity and specificity to chemical imbalances render it a valuable tool in clinical assessment, the results from this modality are abstract and difficult to interpret. With this design study we characterized and explored the tasks and requirements for evaluating these data from the perspective of a MRS research specialist. Our resulting tool, SpectraMosaic, links with upstream spectroscopy quantification software to provide a means for precise interactive visual analysis of metabolites with both single- and multi-peak spectral signatures. Using a layered visual approach, SpectraMosaic allows researchers to analyze any permutation of metabolites in ratio form for an entire cohort, or by sample region, individual, acquisition date, or brain activity status at the time of acquisition. A case study with three MRS researchers demonstrates the utility of our approach in rapid and iterative spectral data analysis. (C) 2020 The Author(s). Published by Elsevier Ltd.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computers & Graphics

ISSN

0097-8493

e-ISSN

—

Svazek periodika

92

Číslo periodika v rámci svazku

Nov

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

1-12

Kód UT WoS článku

000605063100002

EID výsledku v databázi Scopus

2-s2.0-85090212191