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

Fernandez Romain, Moisy Cédric. 2023. FijiRelax: Fast and noise-corrected estimation of MRI relaxation maps in 3D + t. Journal of Open Source Software, 8 (81):4981, 4 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.4518730

Résumé : 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.

Mots-clés Agrovoc : imagerie par résonance magnétique, cartographie, mesure (activité), eau magnétique

Mots-clés géographiques Agrovoc : Fidji

Mots-clés libres : ImageJ, Image analysis, MRI, Phenotyping, Relaxometry

Classification Agris : U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Agences de financement hors UE : France AgriMer, Agropolis Fondation

Projets sur financement : (FRA) Utilisation d'imagerie non destructive pour un suivi dynamique de la colonisation du bois par les pathogènes responsables des maladies du bois, (FRA) Advanced Plant Life Imaging and Metrology

Auteurs et affiliations

• Fernandez Romain, CIRAD-BIOS-UMR AGAP (FRA)
• Moisy Cédric, IFV (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/604609/)

Métriques

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