Segmentation of NMR Spectral Images of the Brain
B.M. Kelm, B.H. Menze, F.A. Hamprecht
Keywords: spatio-spectral image analysis, classification
NMR spectroscopy allows the in-vivo study of physiological and pathophsiological
cell processes through the visualization of specific cell metabolites.
This allows to detect tumorous tissue with very high specificity and
has been applied for clinical examinations in the breast, prostate and
Recent technological advances allow the recording of three-dimensional volumes of spectral NMR signals at very high resolution. Since the spectral images have to be analyzed in order to access their diagnostic information an automated approach is indispensable.
In this project an approach for the segmentation of spectral images
is to be implemented and examined. Candidates should have some
programming skills, preferably in Matlab
or R, and should be familiar with or interested
in statistical pattern recognition.
Morphological MR image (greenish) and high-resolution NMR spectrosopic image (blue).
Project page: Classification of MR spectra
Last update: 06.10.2010, 12:27