title: Fuzzy multi-class statistical modeling for efficient total lesion metabolic activity estimation from realistic PET images.
abstract: 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) has become the de facto standard for current clinical therapy follow up evaluations. In pursuit of robust biomarkers for predicting early therapy response, an efficient marker quantification procedure is certainly a necessity. Among various PET derived markers, the clinical investigations indicated that the total lesion metabolic activity (TLA) of a tumor lesion has a good prognostic value in several longitudinal studies. We utilize a fuzzy multi-class modeling using a stochastic expectation maximization (SEM) algorithm to fit a finite mixture model (FMM) to the PET image. We then propose a direct estimation formula for TLA and SUVmean from this multi-class statistical model. In order to evaluate our proposition, a realistic liver lesion is simulated and reconstructed. All results were evaluated with reference to the ground truth knowledge. Our experimental study conveys that the proposed method is robust enough to handle background heterogeneities in realistic scenarios.
authors.affiliation: Medical Imaging Research Center, UZ Leuven, Belgium.
authors.forename: Jose
authors.initials: J
authors.lastname: George
authors.forename: Kathleen
authors.initials: K
authors.lastname: Vunckx
authors.forename: Elke
authors.initials: E
authors.lastname: Van de Casteele
authors.forename: Sabine
authors.initials: S
authors.lastname: Tejpar
authors.forename: Christophe M
authors.initials: CM
authors.lastname: Deroose
authors.forename: Johan
authors.initials: J
authors.lastname: Nuyts
authors.forename: Dirk
authors.initials: D
authors.lastname: Loeckx
authors.forename: Paul
authors.initials: P
authors.lastname: Suetens
mesh_terms: D000465:Algorithms; D015415:Biomarkers / Q000378:metabolism; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000379:methods*; D019788:Fluorodeoxyglucose F18 / Q000494:pharmacology; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008099:Liver / Q000473:pathology; D008113:Liver Neoplasms / Q000473:pathology*; D015233:Models, Statistical; D049268:Positron-Emission Tomography / Q000379:methods*; D015203:Reproducibility of Results; D012984:Software; D013269:Stochastic Processes
chemical_list: D015415:Biomarkers; D019788:Fluorodeoxyglucose F18