Liew Set Lee, S. Aluwee, Goh Chuan Meng, P. Palanisamy, Ramani Subramaniam
{"title":"Interactive Tool Using Augmented Reality (AR) for Learning Knee and Foot Anatomy Based on CT Images 3D Reconstruction","authors":"Liew Set Lee, S. Aluwee, Goh Chuan Meng, P. Palanisamy, Ramani Subramaniam","doi":"10.1109/ICCI51257.2020.9247820","DOIUrl":null,"url":null,"abstract":"Anatomy is the branch of biological science in medical education that focuses on structured parts of living things, especially the human body. Traditional teaching methods and learning materials of human body anatomy are usually available in the form of textbooks with pictures and images or artificial anatomy mannequins. There are still not enough to help the students in understanding it with actual and accurate knowledge about our human body anatomy. It is because students are challenging in learning the human anatomy body part by through imagining it’s real and lack of interaction and hard to understand with those 2D images model on the textbooks. Although there are artificial anatomy mannequins available for learning, it is limited in number and access. Technological developments, especially applications based on 3D, are expected to help the learning process of this science subject. In this study, we proposed to develop an augmented reality (AR) mobile application for learning human anatomy knee and foot through medical 3-dimensional (3D) reconstruction based on medical images. By using this application, students expected can easily understand human anatomy using 3D image visualisation on the mobile computing platform.","PeriodicalId":194158,"journal":{"name":"2020 International Conference on Computational Intelligence (ICCI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Intelligence (ICCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCI51257.2020.9247820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Anatomy is the branch of biological science in medical education that focuses on structured parts of living things, especially the human body. Traditional teaching methods and learning materials of human body anatomy are usually available in the form of textbooks with pictures and images or artificial anatomy mannequins. There are still not enough to help the students in understanding it with actual and accurate knowledge about our human body anatomy. It is because students are challenging in learning the human anatomy body part by through imagining it’s real and lack of interaction and hard to understand with those 2D images model on the textbooks. Although there are artificial anatomy mannequins available for learning, it is limited in number and access. Technological developments, especially applications based on 3D, are expected to help the learning process of this science subject. In this study, we proposed to develop an augmented reality (AR) mobile application for learning human anatomy knee and foot through medical 3-dimensional (3D) reconstruction based on medical images. By using this application, students expected can easily understand human anatomy using 3D image visualisation on the mobile computing platform.