Improved MRSI in a Murine Glioma Model Using semiLASER

Background: Magnetic resonance spectroscopic imaging (MRSI) offers valuable metabolic information for assessing brain tumor progression and therapeutic response, but its performance in rodent models is often hindered by the low signal-to-noise ratio (SNR) and spatially heterogeneous spectral quality...

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Authors: Javed, Zoona|||0009-0009-8279-9744, Martinez, Gary V.|||0000-0002-6204-8363, Mulero-Acevedo, Marta|||0000-0002-3600-8907, Candiota Silveira, Ana Paula|||0000-0002-1523-6505, Arús i Caraltó, Carles|||0000-0003-2510-2671, Cabañas Egaña, Miquel|||0000-0003-0104-0197, Lope-Piedrafita, Silvia|||0000-0002-8127-6425
Format: article
Publication Date:2026
Country:España
Institution:Universitat Autònoma de Barcelona
Repository:Dipòsit Digital de Documents de la UAB
Language:English
OAI Identifier:oai:dnet:uabarcelona_::0ad740183170e9740f3b8233795ea8f2
Online Access:https://ddd.uab.cat/record/328146
https://dx.doi.org/urn:doi:10.3390/app16083788
Access Level:Open access
Keyword:Spectroscopic imaging
Brain tumor
Semi-adiabatic LASER
Chemical shift imaging
Preclinical models
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spelling Improved MRSI in a Murine Glioma Model Using semiLASERRefining the Metabolomics Data Obtained from Murine ModelsJaved, Zoona|||0009-0009-8279-9744Martinez, Gary V.|||0000-0002-6204-8363Mulero-Acevedo, Marta|||0000-0002-3600-8907Candiota Silveira, Ana Paula|||0000-0002-1523-6505Arús i Caraltó, Carles|||0000-0003-2510-2671Cabañas Egaña, Miquel|||0000-0003-0104-0197Lope-Piedrafita, Silvia|||0000-0002-8127-6425Spectroscopic imagingBrain tumorSemi-adiabatic LASERChemical shift imagingPreclinical modelsBackground: Magnetic resonance spectroscopic imaging (MRSI) offers valuable metabolic information for assessing brain tumor progression and therapeutic response, but its performance in rodent models is often hindered by the low signal-to-noise ratio (SNR) and spatially heterogeneous spectral quality, particularly in peripheral voxels. These issues reduce the number of usable spectra available for quantitative and classifier-based analyses. To address this, we implemented a multi-voxel MRSI-semiLASER sequence-widely recommended in clinical practice-on a 7T Bruker Biospec system running ParaVision 5.1 to improve spectral homogeneity in mouse brain tumor studies. Results: Compared with the vendor CSI-PRESS sequence, MRSI-semiLASER produced more uniform spectra across the grid and achieved up to a 1.2-fold SNR increase in murine glioma, enabling a 20% reduction in slice thickness without compromising spectral quality. Importantly, the sequence produced a substantial gain in the proportion of spectra amenable to analysis, particularly in outer grid voxels that frequently fail with CSI-PRESS. The implemented MRSI-semiLASER sequence and instructions are openly available to the community. Conclusions: MRSI-semiLASER improves spectral homogeneity, increases the proportion of usable spectra, and supports higher spatial detail. These technical improvements may enhance data yield per subject and may facilitate future applications such as more robust pattern recognition workflows and greater data efficiency in longitudinal studies, although such aspects were not evaluated here. 22026-01-0120262026-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/328146https://dx.doi.org/urn:doi:10.3390/app16083788reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengEuropean Commission https://doi.org/10.13039/501100000780 813120Ministerio de Sanidad y Consumo CB06/01/0010European Commission https://doi.org/10.13039/501100000780 777222Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2023-147750NB-I00Generalitat de Catalunya https://doi.org/10.13039/501100002809 2021/XARDI-00021open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:uabarcelona_::0ad740183170e9740f3b8233795ea8f22026-06-06T12:50:31Z
dc.title.none.fl_str_mv Improved MRSI in a Murine Glioma Model Using semiLASER
Refining the Metabolomics Data Obtained from Murine Models
title Improved MRSI in a Murine Glioma Model Using semiLASER
spellingShingle Improved MRSI in a Murine Glioma Model Using semiLASER
Javed, Zoona|||0009-0009-8279-9744
Spectroscopic imaging
Brain tumor
Semi-adiabatic LASER
Chemical shift imaging
Preclinical models
title_short Improved MRSI in a Murine Glioma Model Using semiLASER
title_full Improved MRSI in a Murine Glioma Model Using semiLASER
title_fullStr Improved MRSI in a Murine Glioma Model Using semiLASER
title_full_unstemmed Improved MRSI in a Murine Glioma Model Using semiLASER
title_sort Improved MRSI in a Murine Glioma Model Using semiLASER
dc.creator.none.fl_str_mv Javed, Zoona|||0009-0009-8279-9744
Martinez, Gary V.|||0000-0002-6204-8363
Mulero-Acevedo, Marta|||0000-0002-3600-8907
Candiota Silveira, Ana Paula|||0000-0002-1523-6505
Arús i Caraltó, Carles|||0000-0003-2510-2671
Cabañas Egaña, Miquel|||0000-0003-0104-0197
Lope-Piedrafita, Silvia|||0000-0002-8127-6425
author Javed, Zoona|||0009-0009-8279-9744
author_facet Javed, Zoona|||0009-0009-8279-9744
Martinez, Gary V.|||0000-0002-6204-8363
Mulero-Acevedo, Marta|||0000-0002-3600-8907
Candiota Silveira, Ana Paula|||0000-0002-1523-6505
Arús i Caraltó, Carles|||0000-0003-2510-2671
Cabañas Egaña, Miquel|||0000-0003-0104-0197
Lope-Piedrafita, Silvia|||0000-0002-8127-6425
author_role author
author2 Martinez, Gary V.|||0000-0002-6204-8363
Mulero-Acevedo, Marta|||0000-0002-3600-8907
Candiota Silveira, Ana Paula|||0000-0002-1523-6505
Arús i Caraltó, Carles|||0000-0003-2510-2671
Cabañas Egaña, Miquel|||0000-0003-0104-0197
Lope-Piedrafita, Silvia|||0000-0002-8127-6425
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Spectroscopic imaging
Brain tumor
Semi-adiabatic LASER
Chemical shift imaging
Preclinical models
topic Spectroscopic imaging
Brain tumor
Semi-adiabatic LASER
Chemical shift imaging
Preclinical models
description Background: Magnetic resonance spectroscopic imaging (MRSI) offers valuable metabolic information for assessing brain tumor progression and therapeutic response, but its performance in rodent models is often hindered by the low signal-to-noise ratio (SNR) and spatially heterogeneous spectral quality, particularly in peripheral voxels. These issues reduce the number of usable spectra available for quantitative and classifier-based analyses. To address this, we implemented a multi-voxel MRSI-semiLASER sequence-widely recommended in clinical practice-on a 7T Bruker Biospec system running ParaVision 5.1 to improve spectral homogeneity in mouse brain tumor studies. Results: Compared with the vendor CSI-PRESS sequence, MRSI-semiLASER produced more uniform spectra across the grid and achieved up to a 1.2-fold SNR increase in murine glioma, enabling a 20% reduction in slice thickness without compromising spectral quality. Importantly, the sequence produced a substantial gain in the proportion of spectra amenable to analysis, particularly in outer grid voxels that frequently fail with CSI-PRESS. The implemented MRSI-semiLASER sequence and instructions are openly available to the community. Conclusions: MRSI-semiLASER improves spectral homogeneity, increases the proportion of usable spectra, and supports higher spatial detail. These technical improvements may enhance data yield per subject and may facilitate future applications such as more robust pattern recognition workflows and greater data efficiency in longitudinal studies, although such aspects were not evaluated here.
publishDate 2026
dc.date.none.fl_str_mv 2
2026-01-01
2026
2026-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/328146
https://dx.doi.org/urn:doi:10.3390/app16083788
url https://ddd.uab.cat/record/328146
https://dx.doi.org/urn:doi:10.3390/app16083788
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 813120
Ministerio de Sanidad y Consumo CB06/01/0010
European Commission https://doi.org/10.13039/501100000780 777222
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2023-147750NB-I00
Generalitat de Catalunya https://doi.org/10.13039/501100002809 2021/XARDI-00021
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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