Differentiation of glioblastomas and metastases using 1H-MRS spectral data
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Cita com:
hdl:2117/12317
Tipus de documentText en actes de congrés
Data publicació2010
EditorCSREA Press
Condicions d'accésAccés obert
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Abstract
Hydrogen-1 magnetic resonance spectroscopy
(1H-MRS) allows noninvasive in vivo quantification of metabolite concentrations in brain tissue. In this work two of the most aggressive brain tumors are studied with the purpose of differentiating them. The challenging aspect in this task resides in that their radiological appearance is
often similar, despite the fact that treatment of patients suffering these conditions is quite different. Efforts to differentiate between these two profiles are getting increasing attention, mainly because the consequences of performing an incorrect diagnosis. Due to the high dimensionality,
initiatives oriented to reduce the description complexity become important. In this work we present a feature selection
algorithm that generates relevant subsets of spectral frequencies. Experimental results deliver models that are both simple in terms of numbers of frequencies and show good generalization capabilities.
CitacióGonzález, F.; Belanche, Ll. Differentiation of glioblastomas and metastases using 1H-MRS spectral data. A: International Conference on Bioinformatics & Computational Biology. "International Conference on Bioinformatics & Computational Biology, BIOCOMP 2010: July 12-15, 2010, Las Vegas Nevada, USA". CSREA Press: 2010, p 414-420.
ISBN1-60132-134-1
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