FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t

Quantitative Magnetic Resonance Imaging (MRI) is a relevant technique to measure water availability and binding in animal or vegetal tissues. Among others, MRI is useful to decipher the impact of stresses on living samples (Sidi-Boulenouar et al., 2019). Reproducible measurements of anatomical and physiological changes can be obtained by quantitative mapping of biomarkers (see Figure 1-a) such as proton density (PD) and magnetization relaxation times (T1, T2) in 2D images (Borisjuk et al., 2012 ; Dusschoten et al., 2016). However, the application of quantitative MRI to 3D + t microscopic imaging is still challenging. Detection of weak signals associated with small voxels requires longer acquisition times, which favors spatial drift and tissue deformations (Han et al., 2015). In addition, low signal-to-noise ratio (SNR) environments dramatically reduce the estimation accuracy of the parameters (Raya et al., 2010). Non-specialists facing these issues with multi-echo spin-echo data may be discouraged when using available open implementations of T1-T2 relaxometry: there is a lack of a user-friendly tools capable of processing large data in a reasonable time. We propose FijiRelax, an efficient Fiji plugin for the estimation of relaxation parameter maps from 3D + t multi-echo spin-echo sequences, integrating Rician noise and spatial drift corrections. The plugin is distributed and documented as an ImageJ plugin (Plugin page), available in a graphical interface and scriptable in BeanShell to allow batch processing for high-throughput experiments.

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Main Authors: Fernandez, Romain, Moisy, Cédric
Format: article biblioteca
Language:eng
Subjects:U30 - Méthodes de recherche, U10 - Informatique, mathématiques et statistiques, imagerie par résonance magnétique, cartographie, mesure (activité), eau magnétique, http://aims.fao.org/aos/agrovoc/c_36764, http://aims.fao.org/aos/agrovoc/c_1344, http://aims.fao.org/aos/agrovoc/c_4668, http://aims.fao.org/aos/agrovoc/c_35207, http://aims.fao.org/aos/agrovoc/c_2895,
Online Access:http://agritrop.cirad.fr/604609/
http://agritrop.cirad.fr/604609/3/Joss_rfernandez_fijirelax.pdf
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spelling dig-cirad-fr-6046092024-01-29T05:56:15Z http://agritrop.cirad.fr/604609/ http://agritrop.cirad.fr/604609/ FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t. Fernandez Romain, Moisy Cédric. 2023. Journal of Open Source Software, 8 (81):4981, 4 p.https://doi.org/10.21105/joss.04981 <https://doi.org/10.21105/joss.04981> FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t Fernandez, Romain Moisy, Cédric eng 2023 Journal of Open Source Software U30 - Méthodes de recherche U10 - Informatique, mathématiques et statistiques imagerie par résonance magnétique cartographie mesure (activité) eau magnétique http://aims.fao.org/aos/agrovoc/c_36764 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_35207 Fidji http://aims.fao.org/aos/agrovoc/c_2895 Quantitative Magnetic Resonance Imaging (MRI) is a relevant technique to measure water availability and binding in animal or vegetal tissues. Among others, MRI is useful to decipher the impact of stresses on living samples (Sidi-Boulenouar et al., 2019). Reproducible measurements of anatomical and physiological changes can be obtained by quantitative mapping of biomarkers (see Figure 1-a) such as proton density (PD) and magnetization relaxation times (T1, T2) in 2D images (Borisjuk et al., 2012 ; Dusschoten et al., 2016). However, the application of quantitative MRI to 3D + t microscopic imaging is still challenging. Detection of weak signals associated with small voxels requires longer acquisition times, which favors spatial drift and tissue deformations (Han et al., 2015). In addition, low signal-to-noise ratio (SNR) environments dramatically reduce the estimation accuracy of the parameters (Raya et al., 2010). Non-specialists facing these issues with multi-echo spin-echo data may be discouraged when using available open implementations of T1-T2 relaxometry: there is a lack of a user-friendly tools capable of processing large data in a reasonable time. We propose FijiRelax, an efficient Fiji plugin for the estimation of relaxation parameter maps from 3D + t multi-echo spin-echo sequences, integrating Rician noise and spatial drift corrections. The plugin is distributed and documented as an ImageJ plugin (Plugin page), available in a graphical interface and scriptable in BeanShell to allow batch processing for high-throughput experiments. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/604609/3/Joss_rfernandez_fijirelax.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.21105/joss.04981 10.21105/joss.04981 info:eu-repo/semantics/altIdentifier/doi/10.21105/joss.04981 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.21105/joss.04981 info:eu-repo/semantics/dataset/purl/https://doi.org/10.5281/zenodo.4518730 info:eu-repo/grantAgreement/////(FRA) Utilisation d'imagerie non destructive pour un suivi dynamique de la colonisation du bois par les pathogènes responsables des maladies du bois/VITIMAGE-2024 info:eu-repo/grantAgreement/////(FRA) Advanced Plant Life Imaging and Metrology/APLIM
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
imagerie par résonance magnétique
cartographie
mesure (activité)
eau magnétique
http://aims.fao.org/aos/agrovoc/c_36764
http://aims.fao.org/aos/agrovoc/c_1344
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_35207
http://aims.fao.org/aos/agrovoc/c_2895
U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
imagerie par résonance magnétique
cartographie
mesure (activité)
eau magnétique
http://aims.fao.org/aos/agrovoc/c_36764
http://aims.fao.org/aos/agrovoc/c_1344
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_35207
http://aims.fao.org/aos/agrovoc/c_2895
spellingShingle U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
imagerie par résonance magnétique
cartographie
mesure (activité)
eau magnétique
http://aims.fao.org/aos/agrovoc/c_36764
http://aims.fao.org/aos/agrovoc/c_1344
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_35207
http://aims.fao.org/aos/agrovoc/c_2895
U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
imagerie par résonance magnétique
cartographie
mesure (activité)
eau magnétique
http://aims.fao.org/aos/agrovoc/c_36764
http://aims.fao.org/aos/agrovoc/c_1344
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_35207
http://aims.fao.org/aos/agrovoc/c_2895
Fernandez, Romain
Moisy, Cédric
FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t
description Quantitative Magnetic Resonance Imaging (MRI) is a relevant technique to measure water availability and binding in animal or vegetal tissues. Among others, MRI is useful to decipher the impact of stresses on living samples (Sidi-Boulenouar et al., 2019). Reproducible measurements of anatomical and physiological changes can be obtained by quantitative mapping of biomarkers (see Figure 1-a) such as proton density (PD) and magnetization relaxation times (T1, T2) in 2D images (Borisjuk et al., 2012 ; Dusschoten et al., 2016). However, the application of quantitative MRI to 3D + t microscopic imaging is still challenging. Detection of weak signals associated with small voxels requires longer acquisition times, which favors spatial drift and tissue deformations (Han et al., 2015). In addition, low signal-to-noise ratio (SNR) environments dramatically reduce the estimation accuracy of the parameters (Raya et al., 2010). Non-specialists facing these issues with multi-echo spin-echo data may be discouraged when using available open implementations of T1-T2 relaxometry: there is a lack of a user-friendly tools capable of processing large data in a reasonable time. We propose FijiRelax, an efficient Fiji plugin for the estimation of relaxation parameter maps from 3D + t multi-echo spin-echo sequences, integrating Rician noise and spatial drift corrections. The plugin is distributed and documented as an ImageJ plugin (Plugin page), available in a graphical interface and scriptable in BeanShell to allow batch processing for high-throughput experiments.
format article
topic_facet U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
imagerie par résonance magnétique
cartographie
mesure (activité)
eau magnétique
http://aims.fao.org/aos/agrovoc/c_36764
http://aims.fao.org/aos/agrovoc/c_1344
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_35207
http://aims.fao.org/aos/agrovoc/c_2895
author Fernandez, Romain
Moisy, Cédric
author_facet Fernandez, Romain
Moisy, Cédric
author_sort Fernandez, Romain
title FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t
title_short FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t
title_full FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t
title_fullStr FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t
title_full_unstemmed FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t
title_sort fijirelax: fast and noise-corrected estimation of mri relaxation maps in 3d + t
url http://agritrop.cirad.fr/604609/
http://agritrop.cirad.fr/604609/3/Joss_rfernandez_fijirelax.pdf
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AT moisycedric fijirelaxfastandnoisecorrectedestimationofmrirelaxationmapsin3dt
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