Automatic cell identification and segmentation are important steps for medical automation to greatly reduce human labors. The paper used a statistical model solving the practical issues in this problem, including construction of a training set, cell shape generalization, deformable model building, cell searching and segmentation. Practical experiments prove the validity of the proposed scheme. ...

Medical image analysis technology, with image segmentation, image matching /registration, motion tracking and the measurement of anatomical and physiological parameters as the main research areas, has seen a tremendous amount of growth over the past decade. The work described in this chapter is concerned with the problem of automatically aligning 3D medical images. Image registration is one of ...

People often look at objects and people with which they are likely to interact. The first step for computer systems to adapt to the user and to improve interaction and with people is to locate where they are, and especially the location of their faces on the image. The next step is to track their focus of attention. For this reason, we are interested in techniques for estimating and tracking ga...

In this paper a new hybrid deformable model for haptic interactions is presented. The main idea is to use a two layer deformable model for the virtual object which will be manipulated with a haptic tool by the user, when the external force is applied on the surface area. With this approach, deformation is modelled both using a continuous model, based on Finite Element Methods, and a discrete mo...

Segmentation of time series of 3D cardiac images is clinically used for the assessment of the mechanical function of the left ventricle. To take into account the 4D (3D+T) nature of those images, we propose to extend the deformable surface framework by introducing time-dependent constraints. Thus, in addition to computing an internal force for enforcing the regularity of the deformable model, p...

This paper presents a mass-spring model for real-time simulation of volume preserving deformable solids. A new type of springs that show collective behaviour was developed called "support springs", which model the "matter" inside the object and make it preserve its volume without the need of explicit volume computations during the simulation as it is done in conventional methods. Comparing the ...

Deformable image registration is one of the fundamental tasks in medical imaging. Classical algorithms usually require a high computational cost for iterative optimizations. Although deep-learning-based methods have been developed fast registration, it still challenging to obtain realistic continuous deformations from moving fixed with less topological folding problem. To address this, here we ...

We present a statistical method for the motion-based segmentation of deformable structures undergoing nonrigid movements. The proposed approach relies on two models describing the shape of interest, its variability, and its movement. The first model corresponds to a statistical deformable template that constrains the shape and its deformations. The second model is introduced to represent the op...