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Authors: Muhammad Jawad ; Vladimir Molchanov and Lars Linsen

Affiliation: Westfälische Wilhelms-Universität Münster and Germany

Keyword(s): Multidimensional Data Visualization, Medical Visualization, Coordinated Views, Spectral Imaging Analysis.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Biomedical Visualization and Applications ; Computer Vision, Visualization and Computer Graphics ; Coordinated and Multiple Views ; General Data Visualization ; High-Dimensional Data and Dimensionality Reduction ; Spatial Data Visualization

Abstract: Magnetic Resonance Spectroscopy Imaging (MRSI) is a medical imaging method that measures per voxel a spectrum of signal intensities. It allows for the analysis of chemical compositions within the scanned tissue, which is particularly useful for tumor classification and measuring its infiltration of healthy tissue. Common analysis approaches consider one metabolite concentration at a time to produce intensity maps in the image space, which does not consider all relevant information at hand. We propose a system that uses coordinated views between image-space visualizations and visual representations of the spectral (or feature) space. Coordinated interaction allows for analyzing both aspects and relating the analysis results back to the other for further investigations. We demonstrate how our system can be used to analyze brain tumors.

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Paper citation in several formats:
Jawad, M.; Molchanov, V. and Linsen, L. (2019). Coordinated Image- and Feature-space Visualization for Interactive Magnetic Resonance Spectroscopy Imaging Data Analysis. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 118-128. DOI: 10.5220/0007571801180128

@conference{ivapp19,
author={Muhammad Jawad. and Vladimir Molchanov. and Lars Linsen.},
title={Coordinated Image- and Feature-space Visualization for Interactive Magnetic Resonance Spectroscopy Imaging Data Analysis},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP},
year={2019},
pages={118-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007571801180128},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP
TI - Coordinated Image- and Feature-space Visualization for Interactive Magnetic Resonance Spectroscopy Imaging Data Analysis
SN - 978-989-758-354-4
IS - 2184-4321
AU - Jawad, M.
AU - Molchanov, V.
AU - Linsen, L.
PY - 2019
SP - 118
EP - 128
DO - 10.5220/0007571801180128
PB - SciTePress

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