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An Interactive System for Visualizing 3D Human Organ Models

Authors: Zesheng Tang; Un-Hong Wong; Hon-Cheng Wong;

An Interactive System for Visualizing 3D Human Organ Models

Abstract

Demonstrations play a major role in education process. Although many specimens are readily available, particularly in medicine and biology, demonstrations are commonly performed by showing these static specimens to medical or biological students. Interactive demonstrations can significantly impacts learning. An interactive system for visualizing 3D human organ models can fulfil this need. In this paper, we present techniques to realize such a system which can let the user select and view one or several major organ models extracted from segmented visible human dataset interactively through a simple graphical user interface. The stereoscopic views of these organ models are also achieved with this system running on a PC-based stereo-ready system. In our system, the marching cubes algorithm is used but new implementation we proposed to greatly improve both the speed and quality of surface rendering results is performed. This new implementation can generate the marching cubes cases on-the-fly within the surface extraction process of the models by considering the relationship of the vertices, borders, and surfaces of each voxel. We also describe a new method for specifying the normals for the extracted triangles without the need of physical information (such as intensity values stored in a medical computed tomography (CT) dataset) stored in the voxels. These normals will be used for lighting the extracted models later. Furthermore, a memory arrangement scheme is designed to enhance the usability of the system.

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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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