Vortrag

Datum:		30.01.2006
Uhrzeit:		11:00 Uhr
Ort:		Sitzungssaal Siemensbau Physikalisch-Technische Bundesanstalt Institut Berlin Abbestraße 2-12, 10587 Berlin Tel.: 3481-7454, 3481-0
Titel:		Quantification and classification of magnetic resonance spectroscopic images with applications in cancer diagnosis
Vortragender:		Prof. Sabine van Huffel and Diana M. Sima Department of Electrical Engineering, Katholieke Universiteit Leuven, Belgium

Abstract:		Magnetic Resonance (MR) is a non-invasive technique that has been used to acquire spatially resolved images of living organisms and to monitor changes in the metabolism (MR spectroscopy or MRS). Brain tumors, multiple sclerosis, epilepsy and Alzheimer constitute some very important research areas where MRS can identify the pathology, provide insight in the underlying biochemical processes or monitor the effect of medication. To exploit the full potential of MRS the reliable determination of the metabolites present and their concentrations is essential. Depending on the measurement protocol used, so-called single-voxel or multivoxel (multiple signals acquired simultaneously over a larger region, called MRS Imaging (MRSI)) long- or short-echo-time signals are obtained. By applying spectral analysis methods quantitative information about the metabolites can be derived. In this talk, we want to address the problems posed to this type of analysis, like low signal-to-noise ratio, deviations from the theoretical model function, presence of disturbing components, unknown broad baseline underlying the resonances of interest, and heavily overlapping metabolite signals. In addition we explore the combined use of MRS, MRSI and other sources of information in the classification of brain tumors.
Veranstalter:		Abteilung 8