Resampling in Magnetic Resonance Spectroscopy - A Less
Model-Dependent Quantitation Quality Assessment Method

D 2017

Resampling in Magnetic Resonance Spectroscopy - A Less Model-Dependent Quantitation Quality Assessment Method

JABLONSKI, Michal, Jana STARČUKOVÁ and Zenon STARČUK

Basic information

Original name

Resampling in Magnetic Resonance Spectroscopy - A Less Model-Dependent Quantitation Quality Assessment Method

Authors

JABLONSKI, Michal (616 Poland, guarantor, belonging to the institution), Jana STARČUKOVÁ (203 Czech Republic) and Zenon STARČUK (203 Czech Republic)

Edition

NEW YORK, 2017 11TH INTERNATIONAL CONFERENCE ON MEASUREMENT, p. 193-196, 4 pp. 2017

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20201 Electrical and electronic engineering

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14310/17:00108759

Organization unit

Faculty of Science

ISBN

978-80-972629-1-4

DOI

http://dx.doi.org/10.23919/MEASUREMENT.2017.7983569

UT WoS

000428658900045

Keywords in English

Magnetic Resonance Spectroscopy; Quantitation; Fitting Quality Assessment

Abstract

V originále

In this paper we propose a novel method for magnetic resonance spectroscopy (MRS) fitting quality assessment based on time domain resampling of acquired spectra and bootstrapping of the obtained results. The authors introduce two resampling strategies and example results are shown. The proposed method requires MRS data without averaging.

Citovat

JABLONSKI, Michal, Jana STARČUKOVÁ and Zenon STARČUK. Resampling in Magnetic Resonance Spectroscopy - A Less Model-Dependent Quantitation Quality Assessment Method. Online. In Manka, J Tysler, M Witkovsky, V Frollo, I. 2017 11TH INTERNATIONAL CONFERENCE ON MEASUREMENT. NEW YORK: IEEE, 2017, p. 193-196. ISBN 978-80-972629-1-4. Available from: https://dx.doi.org/10.23919/MEASUREMENT.2017.7983569.

@inproceedings{1393127,
   author = {Jablonski, Michal and Starčuková, Jana and Starčuk, Zenon},
   address = {NEW YORK},
   booktitle = {2017 11TH INTERNATIONAL CONFERENCE ON MEASUREMENT},
   doi = {http://dx.doi.org/10.23919/MEASUREMENT.2017.7983569},
   editor = {Manka, J Tysler, M Witkovsky, V Frollo, I},
   keywords = {Magnetic Resonance Spectroscopy; Quantitation; Fitting Quality Assessment},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {NEW YORK},
   isbn = {978-80-972629-1-4},
   pages = {193-196},
   publisher = {IEEE},
   title = {Resampling in Magnetic Resonance Spectroscopy - A Less Model-Dependent Quantitation Quality Assessment Method},
   url = {http://ieeexplore.ieee.org/abstract/document/7983569/},
   year = {2017}
}

TY  - JOUR
ID  - 1393127
AU  - Jablonski, Michal - Starčuková, Jana - Starčuk, Zenon
PY  - 2017
TI  - Resampling in Magnetic Resonance Spectroscopy - A Less Model-Dependent Quantitation Quality Assessment Method
PB  - IEEE
CY  - NEW YORK
SN  - 9788097262914
KW  - Magnetic Resonance Spectroscopy
KW  - Quantitation
KW  - Fitting Quality Assessment
UR  - http://ieeexplore.ieee.org/abstract/document/7983569/
L2  - http://ieeexplore.ieee.org/abstract/document/7983569/
N2  - In this paper we propose a novel method for magnetic resonance spectroscopy (MRS) fitting quality assessment based on time domain resampling of acquired spectra and bootstrapping of the obtained results. The authors introduce two resampling strategies and example results are shown. The proposed method requires MRS data without averaging.
ER  -

JABLONSKI, Michal, Jana STARČUKOVÁ and Zenon STARČUK. Resampling in Magnetic Resonance Spectroscopy - A Less Model-Dependent Quantitation Quality Assessment Method. Online. In Manka, J Tysler, M Witkovsky, V Frollo, I. \textit{2017 11TH INTERNATIONAL CONFERENCE ON MEASUREMENT}. NEW YORK: IEEE, 2017, p.~193-196. ISBN~978-80-972629-1-4. Available from: https://dx.doi.org/10.23919/MEASUREMENT.2017.7983569.

Detailed Information on Publication Record