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MRSI - Development of algorithms for the automatic processing of signals obtained from Magnetic Spectroscopic Imaging (MRSI) experiments

From 01-01-2002 to 31-12-2005

Description

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. An application of clinical MR is MR spectroscopy imaging (MRSI) in which chemical information can be obtained from various regions in for example the human brain. The result of a MRSI measurement is large number of localized time-domain signals. Quantitative information about the metabolites like e.g. a measrue of the spatial distribution of the concentration of a certain metabolite can be obtained by applying spectral analysis methods. The large number of useful MRSI signals which are typically of very bad quality require a special approach. The demands of the automatic processing are high : automatic rejection of voxels which contain no useful signal, removal of unwanted components, choice in the proper model function and the assessment of the result. ...

Team

Financing

Funding: FWO - Research Foundation - Flanders

Program/Grant Type: FWO Research Grant - FWO Research Grant

Events

2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery


3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery


12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers


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