The two-volume set LNCS 4190 and LNCS 4191 constitute the refereed proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention， MICCAI 2006， held in Copenhagen， Denmark in October 2006.The program committee carefully selected 39 revised full papers and 193 revised poster papers from 578 submissions for presentation in two volumes， based on a rigorous peer reviews. The first volume includes 114 contributions related to bone shape analysis， robotics and tracking， segmentation， analysis of diffusion tensor MRI， shape analysis and morphometry， simulation and interaction， robotics and intervention， cardio-vascular applications， image analysis in oncology， brain atlases and segmentation， cardiac motion analysis， clinical applications， and registration. The second volume collects 118 papers related to segmentation， validation and quantitative image analysis， brain image processing， motion in image formation， image guided clinical applications， registration， as well as brain analysis and registration.
Bone Shape Analysis Quantitative Vertebral Morphometry Using Neighbor-Conditional Shape Models Anatomically Constrained Deformation for Design of Cranial Implant: Methodology and Validation Open-Curve Shape Correspondence Without Endpoint Correspondence Reconstruction of Patient-Specific 3D Bone Surface froIn 2D Calibrated Fluoroscopic Images and Point Distribution Model Robotics and Tracking A Pilot Study of Robot-Assisted Cochlear Implant Surgery Using Steerable Electrode Arrays Robot-Assisted Prostate Brachytherapy Design and Validation of an Image-Guided Robot for Small Animal Research GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound Segmentation Shape-Driven 3D Segmentation Using Spherical Wavelets Artificially Enlarged Training Set in Image Segmentation Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics 4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring Analysis of Diffusion Tensor MRI 3D Histological Reconstruction of Fiber Tracts and Direct Comparison with Diffusion Tensor MRI Tractography Rician Noise Removal in Diffusion Tensor MRI Anisotropy Creases Delineate White Matter Structure in Diffusion Shape Analysis and Morphometry Evaluation of 3-D Shape Reconstruction of Retinal Fundus …… Simulation and Inserection Robotics and Intervention Cardio-vasculur Applications Image Analysis in Oncology Brain Atiase and Segmenation Cardiac Motion ANalysis Clinicasl Applications1 RegistrationI Anthor Index
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