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Abstract #0093

Improving IVIM Derived F-Maps of Pancreatic Tumors with Automatic Duct and Vessel Segmentation

Thomas Joseph Re1,2, Mirium Klauss3, Andreas Lemke4, Frederik B. Laun2, Dirk Simon5, Riccardo Manfredi1, Roberto Pozzi Mucelli1, Stefan Delorme2, Bram Stieltjes2

1Radiology, University of Verona, Verona, Italy; 2Radiology, DKFZ, Heidelberg, BW, Germany; 3Radiology, University of Heidelberg, Heidelberg, BW, Germany; 4MS Computer Assisted Clinical Medicine, University of Heidelberg; 5Software Development for Integrated Diagnostics and Therapy, DKFZ, Heidelberg, BW, Germany

Maps of IVIM model derived perfusion fraction f (f-maps) of the pancreas show potential for the identification of pancreatic adenocarcinoma lesions which appear hypointense in these images. Unfortunately, since bile and pancreatic ducts also appear as hypointense in f-maps, their presence adjacent to tumors can lead to tumor delineation errors. A novel approach which automatically segmented vessels and ducts in the f-maps based on integrated diffusion coefficient D data was tested in 43 patients and proved to be superior to both the ADC or f-map for tumor delineation.