Medical Imaging

Introduction This paper presents a novel interactive tool for efficient and reproducible boundary extraction with minimal user input. Despite the user not being very accuracte with the manual marking of the seed points, the algorithm snaps the boundary to the nearest strong object edge. Unlike active contour models where the user is unaware of how the final boundary will look like after energy minimization (which, if unsatisfactory, requires the entire process to be repeated again), this algorithm is interactive and therefore the user is aware of the “live-wire boundary snapping”. Moreover, “boundary cooling” and “on-the-fly training” are two novel contributions of the paper which help reduce user input while maintaining the stability of the boundary. ...

Introduction This paper presents a novel multi-label and interactive image segmentation algorithm that draws analogies to electric network circuits solutions from electrical engineering. Treating the image as a purely discrete object - a graph, this algorithm can be extended to surface meshes or space-variant images as well. The paper demonstrates the proposed algorithm’s speed and robustness to noise and weak boundaries while also being able to avoid the “small cut” solutions. ...

Introduction This paper presents a stochastic active contour model for image segmentation from cardiac MR images. The proposed algorithms aims to minimize an energy functional by the level set method while incorporating stochastic region based and edge based information as well as shape priors of the heart and local contour properties. Moreover, the algorithm also uses a parameter annealing component to dynamically balance the weightage of the components of the energy functional. ...