title: Real-time 3D image segmentation by user-constrained template deformation.
abstract: We describe an algorithm for 3D interactive image segmentation by non-rigid implicit template deformation, with two main original features. First, our formulation incorporates user input as inside/outside labeled points to drive the deformation and improve both robustness and accuracy. This yields inequality constraints, solved using an Augmented Lagrangian approach. Secondly, a fast implementation of non-rigid template-to-image registration enables interactions with a real-time visual feedback. We validated this generic technique on 21 Contrast-Enhanced Ultrasound images of kidneys and obtained accurate segmentation results (Dice > 0.93) in less than 3 clicks in average.
authors.affiliation: Medisys, Philips Research, Suresnes, France.
authors.forename: Benoit
authors.initials: B
authors.lastname: Mory
authors.forename: Oudom
authors.initials: O
authors.lastname: Somphone
authors.forename: Raphael
authors.initials: R
authors.lastname: Prevost
authors.forename: Roberto
authors.initials: R
authors.lastname: Ardon
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007668:Kidney / Q000000981:diagnostic imaging / Q000473:pathology*; D015233:Models, Statistical; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012984:Software; D013382:Subtraction Technique; D014463:Ultrasonography / Q000379:methods*