Advertisement

CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods

  • B. M. Kelm
  • B. H. Menze
  • T. Neff
  • C. M. Zechmann
  • F. A. Hamprecht
Part of the Informatik aktuell book series (INFORMAT)

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Vanhamme L, Sundin T, Van Hecke P, et al. MR spectroscopy quantitation: a review of time-domain methods. NMR Biomed 2001;14:233–246.CrossRefGoogle Scholar
  2. 2.
    Hagberg G. From magnetic resonance spectroscopy to classification of tumors. A review of pattern recognition methods. NMR Biomed 1998;11:148–156.CrossRefGoogle Scholar
  3. 3.
    Kelm BM, Menze BH, Zechmann CM, et al. Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification. Magn Reson Med submitted;.Google Scholar
  4. 4.
    Menze BH, Lichy MP, Bachert P, et al. Optimal Classification of Long Echo Time In Vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumors. NMR Biomed submitted;.Google Scholar
  5. 5.
    Menze BH, Kelm BM, Heck D, et al. Machine based rejection of low-quality spectra, and estimation of tumor probabilities from MRSI. In: Procs BVM; 2006.Google Scholar
  6. 6.
    Bendl R, Pross J, Hoess A, et al. VIRTUOS-A Program for Virtual Radiotherapy Simulation and Verification. In: Proc of 11th Int. Conf. on The Use of Computers in Radiation Therapy. A. R. Hounsell u. a. Manchester: North Western Med. Physics Dept.; 1994. p. 226–227.Google Scholar
  7. 7.
    Scheenen T, Weiland E, Futterer J, et al. Preliminary Results of IMAPS: An International Multi-Centre Assessment of Prostate MR Spectroscpoy. In: Procs 13th ISMRM, Miami. Springer; 2005.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • B. M. Kelm
    • 1
  • B. H. Menze
    • 1
  • T. Neff
    • 2
  • C. M. Zechmann
    • 2
  • F. A. Hamprecht
    • 1
  1. 1.Interdisciplinary Center for Scientific Computing (IWR)University of HeidelbergHeidelberg
  2. 2.German Cancer Research Center (dkfz)Heidelberg

Personalised recommendations