Titlebook: Visualization in Biomedical Computing; 4th International Co Karl Heinz H?hne,Ron Kikinis Conference proceedings 1996 The Editor(s) (if appl

勾引

Conference proceedings 1996 in the field of computer based visualization in medicine and biology. The papers are organized in sections on visualization; image processing; segmentation; registration; brain: description of shape; brain: characterization of pathology; brain: visualization of function; simulation of surgery and endoscopy; image guided surgery and endoscopy.

有雜色

強(qiáng)化

食料

0302-9743 ng; segmentation; registration; brain: description of shape; brain: characterization of pathology; brain: visualization of function; simulation of surgery and endoscopy; image guided surgery and endoscopy.978-3-540-61649-8978-3-540-70739-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

Corral

collateral

A fast rendering method using the tree structure of objects in virtualized bronchus endoscope systelection of visible branches at the current viewpoint and the view direction. We implemented this method into VBE and evaluated the rendering speed by using real chest X-ray CT images. In the result, improvement of rendering speed was confirmed comparing to our previous system.

Desert

pulmonary

Real-time merging of visible surfaces for display and segmentation,e surfaces can also be used as an aid in segmentation for applications requiring object models and to easily combine volumetrically defined structures with purely geometric information (e.g., computed isodose surfaces).

MOAT

Robust 3-D reconstruction and analysis of microstructures from serial histologic sections, with empreconstructed objects have a generally unmapped and unknown topography. Visualizing anatomic microstructures in 3-D and analyzing their topography will help physicians to better understand and correctly interpret changes in disease.

生意行為

Segmentation of the visible human for high quality volume based visualization,A combination of interactive classification and supersampling visualization algorithms is described, which delivers greatly enhanced realism of 3D reconstructions of the Visible Human data set. Objects are classified on basis of ellipsoidal regions in RGB-space. The ellipsoids are used for supersampling in the visualization process.