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CIS
2004
Springer
14 years 25 days ago
Automatic Segmentation Technique Without User Modification for 3D Visualization in Medical Images
Abstract. It is necessary to analyze an image from CT or MR and then to segment an image of a certain organ from that of other tissues for 3D (ThreeDimensional) visualization. Ther...
Won Seong, Eui-Jeong Kim, Jong-Won Park
VR
2010
IEEE
205views Virtual Reality» more  VR 2010»
13 years 5 months ago
Exploring individual user differences in the 2D/3D interaction with medical image data
Abstract User-centered design is often performed without regard to individual user differences. In this paper, we report results of an empirical study aimed to evaluate whether com...
Elena V. Zudilova-Seinstra, Boris W. van Schooten,...
MICCAI
2009
Springer
14 years 4 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
ISBI
2008
IEEE
14 years 8 months ago
Integrating volume visualization techniques into medical applications
One of the main obstacles in integrating 3D volume visualization in the clinical workflow is the time-consuming process of adjusting parameters such as viewpoint, transfer functio...
Stefan Bruckner, Peter Kohlmann, Armin Kanitsar, M...
MICCAI
2000
Springer
13 years 11 months ago
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
Dinggang Shen, Christos Davatzikos