YAOZONG GAO: ACCURATE SEGMENTATION OF CT PELVIC ORGANS VIA INCREMENTAL CASCADE LEARNING AND REGRESSION-BASED DEFORMABLE MODELS. (Under the direction of Dinggang Shen.) Accurate segmentation of male pelvic organs from computed tomography (CT) images is important in image guided radiotherapy (IGRT) of prostate cancer. The efficacy of radiation treatment highly depends on the segmentation accuracy...

Previous works have presented solutions for stability problems arising from the diierence between the sampling rate requirements for haptic devices (about 1 KHz) and the update rates of the physical objects being simulated (about 10 Hz). These methods work well when the objects are convex and non-deformable but when the object is deformable these methods might fail in obtaining realistic force ...

In this paper, a digital 3D model which allows for visualisation in three dimensions and interactive manipulation is explored as a tool to help us understand the structural morphology and elucidate the functions of morphological structures of fragile microorganisms which defy live studies. We developed a deformable generic 3D model of haptoral anchor of dactylogyridean monogeneans that can subs...

Most of the current haptic rendering techniques model either force-interaction through a pen-like tool or vibrationinteraction on the finger tip. Such techniques are not able, nowadays, to provide force-feedback of the interaction through the human hand. In this paper, we address some of the computational challenges in computing haptic feedback forces for hand-based interaction. We describe a h...

Deformable models are an important tool in computer vision. A deformable model is a curve (in two dimensions) or a surface (in three dimensions), whose shape, position, and orientation are controlled through a set of parameters. They can represent manufactured objects, human faces and skeletons, and even bodies of fluid. Deformable models restrict the family of possible solutions in tracking an...

We present an interface between a deformable body mechanics model and a rigid body mechanics model. What is novel with our approach is that the physical representation in both the models is the same, which ensures behavioral correctness and allows great flexibility. We use a massspring representation extended with the concept of volume, and thus contact and collision. All physical interaction o...

In order to have a good representation of deformable objects, is clever to have an adequate model to represent them. Since the origins of computer graphics, a large number of representation models have been presented. Not all of them are adequate to represent deformable objects. The way in which the objects can be handled, allowing local changes in their shape, or the possibility of the creatio...

Reconstruction of the human cerebral cortex from MR images is a fundamental step in human brain mapping and in applications such as surgical path planning. In a previous paper, we described a method for obtaining a surface representation of the central layer of the human cerebral cortex using fuzzy segmentation and a deformable surface model. This method, however, suffers from several problems....

Geometric deformable models based on the level set method have become very popular in the last several years. To overcome an inherent limitation in accuracy while maintaining computational efficiency, adaptive grid techniques using local grid refinement have been developed for use with these models. This strategy, however, requires a very complex data structure, yields large numbers of contour ...