NDLI: Two Parameter Image Representation in 3D Biomedical Visualization with CT Images

Content Provider	IEEE Xplore Digital Library
Author	Jianmin Dong Mingquan Zhou
Copyright Year	2009
Abstract	Three space dimension model representation plays a key role in medical image processing, surgical plan decision, computer-aided diagnosis (CAD) and other medical activities. A three space dimension face model of biomedical visualization is proposed in the paper through two parameter image representation, which are based on these three facts: 1. three space dimension simple surface could be represented by two free parameters; 2. any three space dimension simple surface could be two smooth manifold in three space dimension embed problem; 3. simple surface visualization is one important aspects of biomedical visualization. Whithout extraction of the volume data from these images from computer computed tomography (CT), the method is accomplished through extraction of contours from these images and map these points into their two parameter space while their geometric properties are easy to be calculated and scale properties relationships between their three dimension space are also to be determined. Given the extraction algorithms of contours from these images and the map which the method used, geometric and scale relationship are listed in the paper as well as the implements of the method through numerical tests.
Starting Page	506
Ending Page	509
File Size	451148
Page Count	4
File Format	PDF
ISBN	9780769536538
DOI	10.1109/IACSIT-SC.2009.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-17
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	3D biomedical visualization Biomedical computing Data mining representation Computed tomography Data visualization Surgery Image representation Computer aided diagnosis parameter image Biomedical image processing Medical diagnostic imaging Biomedical imaging
Content Type	Text
Resource Type	Article

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