Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005; 8th International Co James S. Duncan,Guido Gerig Conference proce

NAV

76-Space Analysis of Grey Matter Diffusivity: Methods and Applicationsiousness, and requirement of a priori definition of interested regions. In this paper, we present a new framework of automated 76-space analysis of GM diffusivity using DWI/DTI. The framework will be evaluated using clinical data, and applied for study of normal brain, Creutzfeldt-Jakob disease and Schizophrenia.

Tortuous

aquatic

MRA Image Segmentation with Capillary Active Contour implemented based on level sets, is able to segment thin vessels and has been applied for verification on synthetic volumetric images and real 3D MRA images. Compared with other state-of-the-art MRA segmentation algorithms, our experiments show that the introduced capillary force can facilitate more accurate segmentation of blood vessels.

改正

FLING

White Matter Tract Clustering and Correspondence in Populationsing in this space we are able to find matching fiber tract clusters in all brains. In addition, we automatically obtain correspondence of tractographic paths across brains: by selecting one or several paths of interest in one brain, the most similar paths in all brains are obtained as the nearest points in the high-dimensional space.

和諧

A Segmentation and Reconstruction Technique for 3D Vascular Structuresents show that the proposed technique reaches a good balance in terms of smoothness, number of triangles, and distance error. The reconstructed surface is suitable for real-time simulation, interactive navigation and visualization.

拋棄的貨物

dendrites

Apraxia

Cumulus

Bone Enhancement Filtering: Application to Sinus Bone Segmentation and Simulation of Pituitary Surgesential properties to be incorporated in the computation of anatomical models for the simulation of pituitary surgery, enabling it to better account for the presence of sinus bones. We present synthetic examples that validate our approach and show a comparison between existing segmentation technique