TY - GEN
T1 - Fully automatic baseline correction in magnetic resonance spectroscopy
AU - Bazgir, Omid
AU - Mitra, Sunanda
AU - Nutter, Brian
AU - Walden, Eric
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/21
Y1 - 2018/9/21
N2 - 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.
AB - 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.
KW - Baseline Correction
KW - Interpolation
KW - Magnetic Resonance Imaging
KW - Metabolite Concentration
KW - Neurodegenerative disorders
KW - Proton Magnetic Resonance Spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85055499204&partnerID=8YFLogxK
U2 - 10.1109/SSIAI.2018.8470319
DO - 10.1109/SSIAI.2018.8470319
M3 - Conference contribution
AN - SCOPUS:85055499204
T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
SP - 97
EP - 100
BT - 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018
Y2 - 8 April 2018 through 10 April 2018
ER -