Fully automatic baseline correction in magnetic resonance spectroscopy

Omid Bazgir, Sunanda Mitra, Brian Nutter, Eric Walden

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Proton Magnetic Resonance Spectroscopy (1H MRS) in conjunction with Magnetic Resonance Imaging (MRI) has been a significant topic of research for quantitative assessment and early detection of neurodegenerative disorders for more than two decades. However, robust techniques for MRS data analysis are still being developed for wide clinical use. Many neurodegenerative diseases exhibit changes in concentrations of specific metabolites. One of the challenging problems in developing consistent quantitative estimation of metabolite concentration is proper correction of the MRS baseline due to the contributions from macromolecules and lipids. We have proposed a novel approach based on interpolation of minima in MR spectra and applied this technique to both in vitro and in vivo MRS data analysis. Our results demonstrate that the proposed method is fast, independent of tuning, and provides an accurate estimation of MRS baseline, leading to improved computational estimates for metabolic concentrations.

Original languageEnglish
Title of host publication2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages97-100
Number of pages4
ISBN (Electronic)9781538665688
DOIs
StatePublished - Sep 21 2018
Event2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Las Vegas, United States
Duration: Apr 8 2018Apr 10 2018

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2018-April

Conference

Conference2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018
Country/TerritoryUnited States
CityLas Vegas
Period04/8/1804/10/18

Keywords

  • Baseline Correction
  • Interpolation
  • Magnetic Resonance Imaging
  • Metabolite Concentration
  • Neurodegenerative disorders
  • Proton Magnetic Resonance Spectroscopy

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