Fast and automatic tumoral area localisation using symmetry

Mancas, Matei [FPMs] Gosselin, Bernard [FPMs] Macq, Benoît [UCL]

Our research deals with a fully automatic and fast localization of possible tumoral areas on computed tomography scanner (CT Scan) images. The aim of this method is not to segment tumors but only to highlight the areas where tumor has the greater probability to be located. To achieve this task, we use the bilateral symmetry of the human body and the asymmetry introduced by the presence of tumors. Our work was initially dedicated to the head and neck area but it should work well for any other body part and even better for more symmetric areas like the brain.