Abstract #2091
Pixel-by-pixel based discrimination of inflammation using multi-parametric MRI
Ana Belen Martin-Recuero 1 , Agi Krzyzanowska 2 , Carlos Avendao 2 , Ania Bentez 1 , Pilar Lopez-Larrubia 1 , Gerardo Brioso 1 , and Sebastian Cerdan 1
1
IIBm, Consejo Superior de Investigaciones
Cientficas, Madrid, Spain,
2
Anatomy,
Medical School, Madrid, Spain
Cerebral inflammation underlies the most prevalent
neurological disorders, including cancer, ischemia or
neurodegeneration but current bioimaging methods are not
able to distinguish unambiguously between the
inflammatory component and the intrinsic pathology. We
report here a novel decision support system which
selects the MRI sequences more relevant for
discriminating automatically pixel-by-pixel between the
inflamed component and the healthy mouse brain. Our
results correlate well with multi-parametric MRI
calculation and immunostaining experiments. This method
may improve the clinical workflow and the non-invasive
assessment of inflammation.
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