@inproceedings{d0b3afff25da41ad916b8e446069eb48,
title = "CLARET: A tool for fully automated evaluation of MRSI with pattern recognition methods",
abstract = "Magnetic Resonance Spectroscopic Imaging (MRSI) measures relative concentrations of metabolites in vivo and can thus be used for the diagnosis of certain tumors. We introduce the program CLARET that makes MRSI accessible for clinical routine use. Instead of embarking on an error-prone quantification of metabolites that requires manual checking of the results in many voxels, the program uses pattern recognition methods to directly compute tumor probability maps. Furthermore, non-evaluable signals are identified and masked out. The user can thus save time and concentrate on suspicious regions only.",
author = "Kelm, {B. M.} and Menze, {B. H.} and T. Neff and Zechmann, {C. M.} and Hamprecht, {F. A.}",
year = "2006",
doi = "10.1007/3-540-32137-3_11",
language = "English",
isbn = "9783540321361",
series = "Informatik aktuell",
publisher = "Kluwer Academic Publishers",
pages = "51--55",
booktitle = "Bildverarbeitung fur die Medizin 2006",
note = "Workshops Bildverarbeitung fur die Medizin: Algorithmen Systeme Anwendungen, BVM 2006 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2006 ; Conference date: 19-03-2006 Through 21-03-2006",
}