loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: M. I. Osorio Garcia ; D. M. Sima ; S. Van Huffel ; F. U. Nielsen and U. Himmelreich

Affiliation: Katholieke Universiteit Leuven, Belgium

Keyword(s): Magnetic Resonance Spectroscopy (MRS), Quantification, Damping constraint.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Magnetic Resonance Spectroscopy (MRS) is a technique used for the diagnostics of tumour and metabolic diseases by estimating the metabolite concentrations of the tissue under investigation. Unreliable metabolite estimation may mislead the diagnosis and therefore quantification of MRS in vivo signals must be performed carefully. In this work, we quantify 1.5 Tesla (T) and 9.4 T MRS in vivo signals and study the influence of the damping factor constraint and the metabolite profile selection used in the quantification method. The damping factor bounds the linewidth of the metabolite profiles and may yield bad fits if wrongly selected. Furthermore, MRS data quantification leads to overestimation of some metabolite concentrations when the selected metabolite basis set is incomplete suggesting that metabolites are fitting the region of their neighboring components. Here, we evaluate the normality of the residual which in cases of good fitting contains no metabolites and only white Gaussian noise. Furthermore, we propose to estimate the damping bound adaptively by taking into account information from the linewidth of the signal and the metabolite basis set. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.203.221.104

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
I. Osorio Garcia, M.; M. Sima, D.; Van Huffel, S.; U. Nielsen, F. and Himmelreich, U. (2011). DAMPING FACTOR CONSTRAINTS AND METABOLITE PROFILE SELECTION INFLUENCE MAGNETIC RESONANCE SPECTROSCOPY DATA QUANTIFICATION. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS; ISBN 978-989-8425-35-5; ISSN 2184-4305, SciTePress, pages 176-181. DOI: 10.5220/0003139301760181

@conference{biosignals11,
author={M. {I. Osorio Garcia}. and D. {M. Sima}. and S. {Van Huffel}. and F. {U. Nielsen}. and U. Himmelreich.},
title={DAMPING FACTOR CONSTRAINTS AND METABOLITE PROFILE SELECTION INFLUENCE MAGNETIC RESONANCE SPECTROSCOPY DATA QUANTIFICATION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS},
year={2011},
pages={176-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003139301760181},
isbn={978-989-8425-35-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS
TI - DAMPING FACTOR CONSTRAINTS AND METABOLITE PROFILE SELECTION INFLUENCE MAGNETIC RESONANCE SPECTROSCOPY DATA QUANTIFICATION
SN - 978-989-8425-35-5
IS - 2184-4305
AU - I. Osorio Garcia, M.
AU - M. Sima, D.
AU - Van Huffel, S.
AU - U. Nielsen, F.
AU - Himmelreich, U.
PY - 2011
SP - 176
EP - 181
DO - 10.5220/0003139301760181
PB - SciTePress