Pancreatic Ductal AdenoCarcinoma (PDAC), one of the most common exocrine pancreas cancer, is characterised by a particular shaded appearance on MDCT images, that makes very hard a clear identification of its border. Moreover, clinical experience states that the actual size of the tumour is usually bigger than evaluated on MDCT, suggesting that part of the tumour is not-visible on MDCT. We propose higher-order statistics as an approach to detect grayscale differences non-visible to human eye.

This presentation is part of Minisymposium “MS70 - Innovative Challenging Applications in Imaging Sciences (2 parts)”
organized by: Roberto Mecca (University of Bologna and University of Cambridge) , Giulia Scalet (Dept. Civil Engineering and Architecture, University of Pavia) , Federica Sciacchitano (Dept. Mathematics, University of Genoa) .

Authors:

Ferdinando Auricchio (Department of Civil Engineering and Architecture, University of Pavia)

Stefania Marconi (Department of Civil Engineering and Architecture, University of Pavia)

Erika Negrello (University of Pavia)

Luigi Pugliese (Policlinico San Matteo, Pavia)

Andrea Pietrabissa (Policlinico San Matteo, Pavia)

Keywords:

computed tomography, higher-order statistics, image reconstruction, image segmentation