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Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content
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Paper Abstract

Magnetic resonance spectroscopy (MRS) has been widely used for studying metabolic changes in rheumatic, neurodegenerative diseases and several other types of pathologies. Nevertheless, the accurate measurement of brain metabolite concentrations is still problematic and challenging, specially for multivoxel MR Spectroscopic Imaging (MRSI) data. There is a collection of artifacts and spectra are acquired from a region containing mixed tissues: white matter (WM), grey matter (GM) and cerebrospinal uid (CSF) composition. However, the studies are interested in analyzing metabolite changes in a particular brain tissue or structure. Therefore, our work proposes a pipeline for automatic selection of spectra of interest, a subset of spectra from MRSI acquisitions based on MRI content analysis and spectral quality metrics. The proposed pipeline helps to improve multivoxel spectroscopy analysis and estimates of metabolite concentrations, by eliminating spectra outside the tissue or structure of interest and identifying noisy spectra.

Paper Details

Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 109530V (15 March 2019); doi: 10.1117/12.2513101
Show Author Affiliations
Juliana Fontolan, Univ. Estadual de Campinas (Brazil)
Danilo Pereira, Univ. Estadual de Campinas (Brazil)
Roberto Souza, Univ. of Calgary (Canada)
Simone Appenzeller, Univ. Estadual de Campinas (Brazil)
Letícia Rittner, Univ. Estadual de Campinas (Brazil)


Published in SPIE Proceedings Vol. 10953:
Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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