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Multi-boundary cardiac data visualization based on multidimensional transfer function with ray distance

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Yang, Fei | Zhang, Lei | Lu, Weigang; | Zuo, Wangmeng | Wang, Kuanquan | Zhang, Henggui | Li, Yeming

Affiliations: School of Mechanical, Electrical & Information Engineering, Shandong University, Shandong, China | School of Art and Design, Harbin University, Heilongjiang, China | Department of Educational Technology, Ocean University of China, Shandong, China | School of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, China | Admissions Office, Harbin University, Heilongjiang, China

Note: [] Corresponding author: Weigang Lu, Department of Educational Technology, Ocean University of China, Shandong, China. Tel./Fax: 086-0532-66787168; E-mail: [email protected].

Keywords: Interactive visualization, partial effect, multidimensional transfer function, multi-boundary data

DOI: 10.3233/BME-141123

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3025-3032, 2014

Published: 2014
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Abstract

A crucial role during the implementation of volume visualization is to identify the optimal transfer function, since the vital information and structure can be highlighted and revealed. The boundary of the volume is shared by respective portion of the two materials formed out of it, which causes undesirable thickening and ambiguity of the boundary explored via traditional LH (Low and High) histogram. To address this issue, initially a modified LH histogram construction method is introduced to intuitively and conveniently visualize cardiac volume for user interaction. Subsequently, the f-LH histogram is presented to further identify and visualize each portion of the boundary accurately. An appropriate multidimensional transfer function generation is proposed by using variables in f-LH space and spatial information, for visualizing the multi-boundary cardiac volume data.

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