Elisa Placidi1, Antonio Napolitano2,
Caroline L. Hoad1, Luca Marciani3, Klara C. Garsed3,
Robin C. Spiller3, Penny A. Gowland1
1SPMMRC, University of
Nottingham, Nottingham, United Kingdom; 2Academic Radiology, QMC,
Nottingham, United Kingdom; 3Nottingham Digestive Diseases Centre
Biomedical Research Unit, Nottingham, United Kingdom
This abstract presents the development and the comparison of two automated operator-independent methods for the objective classification of the AC contents, based on previously optimised MRI techniques to study the gastrointestinal tract. A Gaussian fit of the histogram of the ROI and a texture analysis based on Gabor wavelet are compared: the first one results very time consuming while the second one is very quick and in accordance with the experimental results and it could be used in future studies for assessing the effectiveness of a range of agents designed to treat diarrhoeal diseases.