83 citations · 816 across the 59 of their papers we have counts for
5 papers · 1 filter
Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma
Daniela Schenonea, Rita Lai, Michele Cea +13
Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions. The skeleton involvement of MM is at the core of the present paper,…
Mathematical modelling of nuclear medicine data
Michele Piana, Giacomo Caviglia, Sara Sommariva
Positron Emission Tomography using 2-[18F]-2deoxy-D-glucose as radiotracer (FDG-PET) is currently one of the most frequently applied functional imaging methods in clinical applicat…
Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: a 3D analysis of SPECT/CT images
Francesco Fiz, Helmut Dittmann, Cristina Campi +7
To meet the current need for skeletal tumor-load estimation in prostate cancer (mCRPC), we developed a novel approach, based on adaptive bone segmentation. In this study, we compar…
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
The present paper proposes a novel computational method for parametric imaging of nuclear medicine data. The mathematical procedure is general enough to work for compartmental mode…
Compartmental analysis of nuclear imaging data for the quantification of FDG liver metabolism
Valentina Vivaldi, Sara Garbarino, Giacomo Caviglia +2
This paper utilizes compartmental analysis and a statistical optimization technique in order to reduce a compartmental model describing the metabolism of labelled glucose in liver.…