This paper gives an efficient method to detect the tumors and its exact boundary and volume rendering in a very complex organ – pancreas, by overcoming the limitations in magnetic resonance cholangiopancreatography. Pancreas is a complex organ situated between stomach, liver, gall bladder and small intestine. Hence it is difficult to get the accurate segmentation of the tumor.2D MRI images are enhanced by appropriate filters and it is processed to get the enhanced images. These images are then modelled and propagated using 3D software package called 3D DOCTOR. The Region of Interest (ROI) can be defined in the image to get the segmentation boundary. Then the exact boundaries are automatically segmented using 3D morphological fitering techniques and this can also be done by 3D image segmentation. Since CT scans are prone to radiations frequent diagonosis may affect the normal tissues and hence MRI scans are effective. MRCP also gives 3D images but intervention cannot be possible and these defects are overcome by this method and it is a non-invasive method unlike ERCP and hence bleeding, sepsis and perforations can be avoided.

Pancreas; Tumor; Segmentation; Volume rendering; 3D Doctor