Magnetic Resonance Spectroscopy Signal Analysis Based on Fingerprinting Dictionary Approaches

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F21%3A00557881" target="_blank" >RIV/68081731:_____/21:00557881 - isvavai.cz</a>
Result on the web
<a href="https://avestia.com/EECSS2021_Proceedings/files/paper/ICBES/ICBES_114.pdf" target="_blank" >https://avestia.com/EECSS2021_Proceedings/files/paper/ICBES/ICBES_114.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11159/icbes21.114" target="_blank" >10.11159/icbes21.114</a>

Result language
angličtina
Original language name
Magnetic Resonance Spectroscopy Signal Analysis Based on Fingerprinting Dictionary Approaches
Original language description
Magnetic resonance spectroscopy (MRS) is a technique applicable in medical diagnosis or research, which has the unique capability to give non-invasive access to the biochemical content (metabolites) of scanned organs. Up to recent times, all the proposed methods solved metabolite quantification as an optimization problem attempting to minimize the difference between the data and a given parameterized model function. This paper proposes quantification of metabolites in MR spectroscopic imaging using a fingerprinting method, whose function is based on the creation of a dictionary of linear combinations of metabolite signals. Experimental results demonstrate the accuracy of the proposed method, compared to data obtained by a standard quantification method (QUEST), on concentration estimates of 8 metabolites from signals with macromolecule background and noise. The prototype results indicate that the concept of MR fingerprinting dictionary, useful also for preparing data for machine learning, can serve as an alternative method for metabolite quantification by NMR signal analysis.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_013%2F0001775" target="_blank" >EF16_013/0001775: Modernization and support of research activities of the national infrastructure for biological and medical imaging Czech-BioImaging</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 7th World Congress on Electrical Engineering and Computer Systems and Science (EECSS’21)
ISBN
978-1-927877-92-0
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
ICBES114
Publisher name
International ASET
Place of publication
Orléans
Event location
online
Event date
Jul 29, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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