Yu H. Automatic rigid and deformable medical image registration. PhD dissertation, Mechanical Engineering Department, Worcester Polytechnic Institute, Worcester, MA; 2005.Yu H. Automatic rigid and deformable medical image registration. PhD dissertation, Department of Mechanical Engineering, Worcester ...
was chosen to evaluate this technique because of its challenging nature, with varying internal and external contours, and multiple degrees of freedom. Shape... LE Court,RB Tishler,J Petit,... - 《Physics in Medicine & Biology》 被引量: 95发表: 2006年 Automatic non-rigid registration of 3D...
These deformations are tailored by the animator and act as a muscle layer to provide automatic squash and stretch behavior of the surface geometry. A hierarchy of composite deformations provides the animator with a multi-layered approach to defining both local and global transition of the character'...
While the question of placement of rigid objects has captured the attention of researchers in the past, this work presents an intuitive and interactive scheme to properly place deformable objects with the aid of free-form deformation tools. The presented scheme can also be used to animate the ...
We present experiments in which we employ Kalman filtering to estimate the shape and motion of a face from image sequences of four subjects. The face is successfully tracked even in the presence of large head rotations 展开 关键词: ieee computer society 会议名称: Automatic Face and Gesture ...
The deformable tube is selectively supported to enable precise control over tube constriction for accurate material flow control. A micrometer stop is conveniently mounted to regulate the size of the tube restriction. Automatic and repeated actuation of the dispenser is obtained by locating the ...
Herein we propose a non-rigid registration approach finetuned to compensate for such artifacts by incorporating the prior knowledge about the nature of the distortion into the method. Materials and Methods MRI studies were obtained as part of the mpMRI exam of biopsy proven PCa patients (N=17)...
To develop a robust segmentation model, encoding the underlying features/structures of the input data is essential to discriminate the target structure from the background. To enrich the extracted feature maps, contrastive learning and self-learning techniques are employed, particularly when the size of...
The aim of this study is to evaluate a regional deformable model based on a deep unsupervised learning model for automatic contour propagation in breast cone-beam computed tomography–guided adaptive radiation therapy. A deep unsupervised learning model was introduced to map breast’s tumor bed, clin...
Automatic Visual Recognition of Deformable Objects for Grasping and Manipulation. Computer vision methods, especially those referring to object classification and pose determination are extensively used in robot manipulation of rigid obj... Foresti,G...