title: 3D automatic segmentation and reconstruction of prostate on MR images.
abstract: In this work we present a method to automatic 3D segmentation of prostate on MR images and volume reconstruction by fuzzy sets fusion algorithm. The segmentation is model based method and the reconstruction takes into account the slice thickness to reduce the partial volume effect.
authors.affiliation: INSERM U703 research unit. THAIS. ITM, Pavillon Vancostenobel, CHRU de Lille, Lille, France. n-betrouni@chru-lille.fr
authors.forename: Nacim
authors.initials: N
authors.lastname: Betrouni
authors.forename: Philippe
authors.initials: P
authors.lastname: Puech
authors.forename: Anne-Sophie
authors.initials: AS
authors.lastname: Dewalle
authors.forename: Renaud
authors.initials: R
authors.lastname: Lopes
authors.forename: Patrick
authors.initials: P
authors.lastname: Dubois
authors.forename: Maximilien
authors.initials: M
authors.lastname: Vermandel
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D011467:Prostate / Q000473:pathology*; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity