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      Modeling and simulation of an anatomy teaching system

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          Abstract

          Specimen observation and dissection have been regarded as the best approach to teach anatomy, but due to the severe lack of anatomical specimens in recent years, the quality of anatomy teaching has been seriously affected. In order to disseminate anatomical knowledge effectively under such circumstances, this study discusses three key factors (modeling, perception, and interaction) involved in constructing virtual anatomy teaching systems in detail. To ensure the authenticity, integrity, and accuracy of modeling, detailed three-dimensional (3D) digital anatomical models are constructed using multi-scale data, such as the Chinese Visible Human dataset, clinical imaging data, tissue sections, and other sources. The anatomical knowledge ontology is built according to the needs of the particular teaching purposes. Various kinds of anatomical knowledge and 3D digital anatomical models are organically combined to construct virtual anatomy teaching system by means of virtual reality equipment and technology. The perception of knowledge is realized by the Yi Chuang Digital Human Anatomy Teaching System that we have created. The virtual interaction mode, which is similar to actual anatomical specimen observation and dissection, can enhance the transmissibility of anatomical knowledge. This virtual anatomy teaching system captures the three key factors. It can provide realistic and reusable teaching resources, expand the new medical education model, and effectively improve the quality of anatomy teaching.

          Electronic supplementary material

          The online version of this article (10.1186/s42492-019-0019-4) contains supplementary material, which is available to authorized users.

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          Most cited references 20

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          Anatomy teaching: ghosts of the past, present and future.

          Anatomy teaching has perhaps the longest history of any component of formalised medical education. In this article we briefly consider the history of dissection, but also review the neglected topic of the history of the use of living anatomy. The current debates about the advantages and disadvantages of cadavers, prosection versus dissection, and the use of living anatomy and radiology instead of cadavers are discussed. Future prospects are considered, along with some of the factors that might inhibit change.
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            Medical image fusion: A survey of the state of the art

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              Chinese visible human project.

              Research on the digital visible human is of great significance and has considerable application value. The US visible human project created the first digital image dataset of a complete human (one male and one female) in 1995. To promote worldwide application-oriented visible human research, additional visible human datasets, representative of different populations of the world, are needed. The Chinese visible human (CVH) male (created in October 2002) and female (created in February 2003) Project achieved greater integrity of images, better blood vessel identification, and were free of organic disease. The most noteworthy technical advance of the Chinese visible human project (CVHP) was the construction of a low temperature laboratory, which prevented loss of small structures (including teeth, nasal conchae, and articular cartilage) from the milling surface. Thus, better integrity of images was achieved. To date, we have acquired five CVH datasets and volume rendered them for visualization on a PC. 3D reconstruction of some organs and structures has been completed and work to segment a complete dataset is under way. Although there is still a long way to go to make the visible human meet the application-oriented needs in various fields, progress is being made toward acquiring new datasets, performing segmentation, and setting up a platform of computer-assisted medicine. Here, we review the history and highlights of the CVHP and foresee its future development as well. (c) 2006 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                xqzhang_tmmu@126.com
                1528776151@qq.com
                1053950176@qq.com
                zhangsx1021@yahoo.com
                xuyifa@vip.tom.com
                tlwtan@163.com
                Journal
                Vis Comput Ind Biomed Art
                Vis Comput Ind Biomed Art
                Visual Computing for Industry, Biomedicine and Art
                Springer Singapore (Singapore )
                2096-496X
                2524-4442
                2 August 2019
                2 August 2019
                December 2019
                : 2
                Affiliations
                [1 ]ISNI 0000 0004 1760 6682, GRID grid.410570.7, Institute of Digital Medicine, School of Biomedical Engineering and Medical Imaging, , Army Medical University (Third Military Medical University), ; Chongqing, 400038 China
                [2 ]Shandong Digihuman Technology Co., Inc, Jinan, 250101 China
                Article
                19
                10.1186/s42492-019-0019-4
                7099570
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 61190122
                Categories
                Original Article
                Custom metadata
                © The Author(s) 2019

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