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Abstract #3741

Improving the spatial resolution and SNR of rat brain T2-weighted MR images: application of a super-resolution method

Eric Van Reeth 1 , Michael Sdika 1 , Sophie Gaillard 1 , Pierre-Herv Luppi 2 , Paul-Antoine Libourel 2 , and Olivier Beuf 1

1 Universit de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Universit Lyon 1, Villeurbanne, Rhone, France, 2 Centre de Recherche en Neurosciences de Lyon; Inserm U1028 - CNRS UMR5292, Lyon, Rhone, France

An image processing method called super-resolution is applied on rat brain MR data in order to improve the spatial resolution and signal-to-noise ratio of 2D multi-slices MR acquisitions. The high-resolution output image has an isotropic spatial resolution and is obtained from several low-resolution anisotropic images. It clearly improves the trade-off between acquisition time, SNR and spatial resolution when compared to a high-resolution image that was acquired in approximately the same time. The few changes required on the acquisition protocol and the flexibility of the imaging model to handle different applications make it an interesting post-processing method for practical applications.

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