Alan Wright1, Thiele Kobus1, Arend Heerschap1
1Radboud University Nijmegen Medical Centre, Nijmegen, Gelderland, Netherlands
Probability maps were generated that determine the likelihood of tumour at each spatial location within the prostate based on 3D 1H-MRSI data sets. Each spectrum was fitted with LCModel using a basis set of two model spectra, one for benign and one for tumour tissue. These basis spectra were generated by independent component analysis as the first-two stable components of a data set of 2360 spectra from 42 patients. The probability score separated tumour from benign spectra better than conventional metabolite maps (AUC: 0.782, 0.721 respectively) in this data set and successfully localised significant tumour foci in five new test patients.