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.
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Kelm, B.M., Menze, B.H., Neff, T., Zechmann, C.M., Hamprecht, F.A. (2006). CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_11
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DOI: https://doi.org/10.1007/3-540-32137-3_11
Publisher Name: Springer, Berlin, Heidelberg
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