Quantitative Relaxation Templates for the Human Brain at 3T

Fang Cao 1, * Olivier Commowick 1 Camille Maumet 1 Christian Barillot 1
* Corresponding author
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : The development of brain Magentic Resonance Imaging (MRI) is driving increasing demand for quantitative measurements. Quantitative MRI (qMRI) templates of relaxation times and proton density can be of particular interest for dedicated clinical applications such as characterizing brain tissue abnormalities, as well as general research purposes. In this paper, we have developed a 3D qMRI statistical template generator consisting of T1, T2, T2* and rho* relaxometry maps from the human brain at 3T. The qMRI templates were built from a population of 20 normal controls, for which individual quantitative maps were estimated in a robust manner, accounting for acquisition artifacts and expected relationships between the relaxometry parameters. For validation, we fed the qMRI templates into a realistic MRI simulator to synthesize various MR-weighted images, and compared these images with the real MR acquisitions. High correlation coefficients (>0.80) show that the developed qMRI templates can be used as input dataset for MRI simulation community, which may be of great interest to clinical neuroscience field.
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Fang Cao, Olivier Commowick, Camille Maumet, Christian Barillot. Quantitative Relaxation Templates for the Human Brain at 3T. IEEE International Symposium on Biomedical Imaging, Apr 2014, China. pp.57-60. ⟨inserm-00950843⟩

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