Počet záznamů: 1
Water removal in MR spectroscopic imaging with Casorati singular value decomposition
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SYSNO ASEP 0580462 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Water removal in MR spectroscopic imaging with Casorati singular value decomposition Tvůrce(i) Shamaei, Amirmohammad (UPT-D)
Starčuková, Jana (UPT-D) RID, SAI, ORCID
Rizzo, R. (CH)
Starčuk jr., Zenon (UPT-D) RID, ORCID, SAIZdroj.dok. Magnetic Resonance in Medicine. - : Wiley - ISSN 0740-3194
Roč. 91, č. 4 (2024), s. 1694-1706Poč.str. 13 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova functional MRS ; low-rank approximations ; MR spectroscopic imaging ; water removal ; water suppression CEP EF18_046/0016045 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy LM2018129 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy LM2023050 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Způsob publikování Open access Institucionální podpora UPT-D - RVO:68081731 UT WOS 001137047400001 EID SCOPUS 85181529631 DOI 10.1002/mrm.29959 Anotace Purpose: Water removal is one of the computational bottlenecks in the processing of high-resolution MRSI data. The purpose of this work is to propose an approach to reduce the computing time required for water removal in large MRS data. Methods: In this work, we describe a singular value decomposition–based approach that uses the partial position-time separability and the time-domain linear predictability of MRSI data to reduce the computational time required for water removal. Our approach arranges MRS signals in a Casorati matrix form, applies low-rank approximations utilizing singular value decomposition, removes residual water from the most prominent left-singular vectors, and finally reconstructs the water-free matrix using the processed left-singular vectors. Results: We have demonstrated the effectiveness of our proposed algorithm for water removal using both simulated and in vivo data. The proposed algorithm encompasses a pip-installable tool (https://pypi.org/project/CSVD/), available on GitHub (https://github.com/amirshamaei/CSVD), empowering researchers to use it in future studies. Additionally, to further promote transparency and reproducibility, we provide comprehensive code for result replication. Conclusions: The findings of this study suggest that the proposed method is a promising alternative to existing water removal methods due to its low processing time and good performance in removing water signals. Pracoviště Ústav přístrojové techniky Kontakt Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Rok sběru 2025 Elektronická adresa https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.29959
Počet záznamů: 1