Yuqing Sun, Tianran Yuan, Yimin Wang, Quanping Sun, Zhiwei Hou, Juan Du
{"title":"Augmented reality presentation system of skeleton image based on biomedical features","authors":"Yuqing Sun, Tianran Yuan, Yimin Wang, Quanping Sun, Zhiwei Hou, Juan Du","doi":"10.1007/s10055-024-00976-3","DOIUrl":null,"url":null,"abstract":"<p>Aimed at limitations in the description and expression of three-dimensional (3D) physical information in two-dimentsional (2D) medical images, feature extraction and matching method based on the biomedical characteristics of skeletons is employed in this paper to map the 2D images of skeletons into a 3D digital model. Augmented reality technique is used to realize the interactive presentation of skeleton models. Main contents of this paper include: Firstly, a three-step reconstruction method is used to process the bone CT image data to obtain its three-dimensional surface model, and the corresponding 2D–3D bone library is established based on the identification index of the 2D image and the 3D model; then, a fast and accurate feature extraction and matching algorithm is developed to realize the recognition, extraction, and matching of 2D skeletal features, and determine the corresponding 3D skeleton model according to the matching result. Finally, based on the augmented reality technique, an interactive immersive presentation system is designed to achieve visual effects of the virtual human bone model superimposed and rendered in the world scenes, which improves the effectiveness of information expression and transmission, as well as the user's immersion and embodied experience.</p>","PeriodicalId":23727,"journal":{"name":"Virtual Reality","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtual Reality","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10055-024-00976-3","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Aimed at limitations in the description and expression of three-dimensional (3D) physical information in two-dimentsional (2D) medical images, feature extraction and matching method based on the biomedical characteristics of skeletons is employed in this paper to map the 2D images of skeletons into a 3D digital model. Augmented reality technique is used to realize the interactive presentation of skeleton models. Main contents of this paper include: Firstly, a three-step reconstruction method is used to process the bone CT image data to obtain its three-dimensional surface model, and the corresponding 2D–3D bone library is established based on the identification index of the 2D image and the 3D model; then, a fast and accurate feature extraction and matching algorithm is developed to realize the recognition, extraction, and matching of 2D skeletal features, and determine the corresponding 3D skeleton model according to the matching result. Finally, based on the augmented reality technique, an interactive immersive presentation system is designed to achieve visual effects of the virtual human bone model superimposed and rendered in the world scenes, which improves the effectiveness of information expression and transmission, as well as the user's immersion and embodied experience.
期刊介绍:
The journal, established in 1995, publishes original research in Virtual Reality, Augmented and Mixed Reality that shapes and informs the community. The multidisciplinary nature of the field means that submissions are welcomed on a wide range of topics including, but not limited to:
Original research studies of Virtual Reality, Augmented Reality, Mixed Reality and real-time visualization applications
Development and evaluation of systems, tools, techniques and software that advance the field, including:
Display technologies, including Head Mounted Displays, simulators and immersive displays
Haptic technologies, including novel devices, interaction and rendering
Interaction management, including gesture control, eye gaze, biosensors and wearables
Tracking technologies
VR/AR/MR in medicine, including training, surgical simulation, rehabilitation, and tissue/organ modelling.
Impactful and original applications and studies of VR/AR/MR’s utility in areas such as manufacturing, business, telecommunications, arts, education, design, entertainment and defence
Research demonstrating new techniques and approaches to designing, building and evaluating virtual and augmented reality systems
Original research studies assessing the social, ethical, data or legal aspects of VR/AR/MR.