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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