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Complex fitting of 1H-MR spectra improves quantification precision independent of SNR and noise correlation

Campos, Leonardo ; Swanberg, Kelley LU orcid ; Gajdošík, Martin ; Landheer, Karl and Juchem, Christoph (2022) Joint Annual Meeting ISMRM-ESMRMB
Abstract
Quantification of in vivo proton magnetic resonance spectra (1H-MRS) still commonly involves evaluation of exclusively the real part of acquired spectral signals, but ignoring the information contained in the imaginary component may limit precise identification of individual metabolite contributions. Here, we assess quantification precision relative to SNR and noise correlation for both real and complex linear combination model fits of simulated 1H-MRS spectra reflecting brain metabolite concentrations and T2. Extending our results to inclusion of measured in vivo baselines, we demonstrate consistent improvements in metabolite quantification precision and/or accuracy by complex relative to real fits.
Please use this url to cite or link to this publication:
author
; ; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB ISMRT, 31st Annual Meeting
conference name
Joint Annual Meeting ISMRM-ESMRMB
conference location
London, United Kingdom
conference dates
2022-05-07 - 2022-05-12
language
English
LU publication?
no
id
eb3279d0-45c7-48f9-a04a-55a69789662f
alternative location
https://archive.ismrm.org/2022/0430.html
date added to LUP
2023-09-18 15:37:37
date last changed
2025-04-04 14:42:31
@inproceedings{eb3279d0-45c7-48f9-a04a-55a69789662f,
  abstract     = {{Quantification of in vivo proton magnetic resonance spectra (1H-MRS) still commonly involves evaluation of exclusively the real part of acquired spectral signals, but ignoring the information contained in the imaginary component may limit precise identification of individual metabolite contributions. Here, we assess quantification precision relative to SNR and noise correlation for both real and complex linear combination model fits of simulated 1H-MRS spectra reflecting brain metabolite concentrations and T2. Extending our results to inclusion of measured in vivo baselines, we demonstrate consistent improvements in metabolite quantification precision and/or accuracy by complex relative to real fits.}},
  author       = {{Campos, Leonardo and Swanberg, Kelley and Gajdošík, Martin and Landheer, Karl and Juchem, Christoph}},
  booktitle    = {{Proceedings of the Joint Annual Meeting ISMRM-ESMRMB ISMRT, 31st Annual Meeting}},
  language     = {{eng}},
  title        = {{Complex fitting of 1H-MR spectra improves quantification precision independent of SNR and noise correlation}},
  url          = {{https://archive.ismrm.org/2022/0430.html}},
  year         = {{2022}},
}