Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI‘98; First International William M. Wells,Alan Colchester,Scott Delp Co

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Motion analysis of the right ventricle from MRI Images,r our input data (due to the thinner RV), and localized degrees of freedom (DOFs) with finite elements. Although we build a biventricular model, our results focus on method validation and visualizing clinically useful parameters that describe RV wall motion.

幾何學(xué)家

Conference proceedings 1998cal systems and simulators, segmentation, computational neuroanatomy, biomechanics, detection in medical images, data acquisition and processing, neurosurgery and neuroscience, shape analysis, feature extraction, registration, and ultrasound.

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PHIL

Computer-aided planning of patellofemoral joint OA surgery: Developing physical models from patiento alter the biomechanics of the osteoarthritic joint (i.e., improve motion and load transmission characteristics). Because of the mechanical nature of some of these surgical objectives, they can be evaluated prior to and subsequent to surgery by using an appropriate patient-specific physical model o

Hdl348

ATRIA

Computer-aided image-guided bone fracture surgery: Modeling, visualization, and preoperative plannie the surgeon’s cumulative exposure to radiation and improve the positioning accuracy by replacing uncorrelated static fluoroscopic images with a virtual reality display of 3D bone models created from preoperative CT and tracked intraoperatively in real-time. Fluoroscopic images are used to register

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