Machine-based rejection of low-quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images

Informatik aktuell

Volumn , Issue , 2006, Pages 31-35

  Menze, Bjoern H ^a   Kelm, B Michael ^a   Heck, Daniel ^a   Lichy, Matthias P ^b,c   Hamprecht, Fred A ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^c UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; BRAIN MAPPING; DIAGNOSIS; MAGNETIC RESONANCE; PATTERN RECOGNITION; PROBABILITY; TUMORS;

LOW QUALITIES; NONLINEAR CLASSIFIERS; PROBABILITY MAPPING; QUANTITATIVE COMPARISON; SPATIALLY RESOLVED; SPECTRAL SIGNAL; SPECTROSCOPIC IMAGES; TWO-STEP APPROACH;

QUALITY CONTROL;

EID: 84879847179     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-32137-3_7     Document Type: Conference Paper

References (5)

1. Menze BH, Lichy MP, Bachert P, et al. Optimal classification of Lonag Echo Time In Vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumors. NMR in Biomedicine submitted;.
2. Devos A, Lukas L, Suykens JA, et al. Classification of brain tumor using short echo time 1H MR spectra. J Magn Reson 2004;p. 164-175.
3. Lichy MP, Pathow C, Schultz-Ertner D, et al. Follow-up of gliomas after radiotherapy: 1H MR spectroscopic imaging for increasing diagnostic accuracy. Neuroradiology 2005;p. 1-12.
4. Kelm BM, Menze BH, Neff T, et al. CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods. In: Procs BVM; 2006. .
5. Neff T, Bachert P, Lichy MP, et al. Einsatz der Protonten-MR- spektroskopischen Bildgebung zur Zielvolumenbestimmung in der Strahlentherapieplanung bei glialen Hirntumoren. In: Procs BVM; 2004. p. 145-149.