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Permanent URI for this collectionhttps://repositorio.grial.eu/handle/123456789/34

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Subject: search.filters.subject.augmented reality

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    extmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D model Visualization Platform Using Augmented and Virtual Reality
    (MDPI, 2020-05-23) González-Izard, S.; Sánchez Torres, R.; Alonso Plaza, O.; Juanes-Méndez, J. A.; García-Peñalvo, F. J.
    The visualization of medical images with advanced techniques, such as augmented reality and virtual reality, represent a breakthrough for medical professionals. In contrast to more traditional visualization tools lacking 3D capabilities, these systems use the three available dimensions. To visualize medical images in 3D, the anatomical areas of interest must be segmented. Currently, manual segmentation, which is the most commonly used technique, and semi-automatic approaches can be time consuming because a doctor is required, making segmentation for each individual case unfeasible. Using new technologies, such as computer vision and artificial intelligence for segmentation algorithms and augmented and virtual reality for visualization techniques implementation, we designed a complete platform to solve this problem and allow medical professionals to work more frequently with anatomical 3D models obtained from medical imaging. As a result, the Nextmed project, due to the different implemented software applications, permits the importation of digital imaging and communication on medicine (dicom) images on a secure cloud platform and the automatic segmentation of certain anatomical structures with new algorithms that improve upon the current research results. A 3D mesh of the segmented structure is then automatically generated that can be printed in 3D or visualized using both augmented and virtual reality, with the designed software systems. The Nextmed project is unique, as it covers the whole process from uploading dicom images to automatic segmentation, 3D reconstruction, 3D visualization, and manipulation using augmented and virtual reality. There are many researches about application of augmented and virtual reality for medical image 3D visualization; however, they are not automated platforms. Although some other anatomical structures can be studied, we focused on one case: a lung study. Analyzing the application of the platform to more than 1000 dicom images and studying the results with medical specialists, we concluded that the installation of this system in hospitals would provide a considerable improvement as a tool for medical image visualization.
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    Augmented Reality in Pedestrian Navigation applied in a context of Mobile Learning: Resources for enhanced comprehension of Science, Technology, Engineering and Mathematics
    (Tempus Publication, 2017-03-31) Joo Nagata, J.; García-Bermejo Giner, J.; Martínez Abad, F.
    This paper describes the creation and educational effectiveness of a digitally-enabled learning module. The module is linked to the implementation of several Mobile Pedestrian Navigation and Augmented Reality features (MPN-AR), which are used to carry out training processes. In particular, the information imparted is related to territorial information on several relevant disciplines like Science, Technology, Engineering and Mathematics (STEM). This is done in a context of digital information about the environment of Santiago de Chile. The research focuses on two main areas, of which the first is the territorial delimitation, in the thematic context of the study area, in order to carry out the design of an MPN-AR application. This includes defining the architecture, functionality, user interface and implementation of the application. A second step deals with the empirical verification of the results produce by the various modes of operation of the application, as well as the comprehensibility and effectiveness of the model. This is done by means of an MPN-AR application, which has been created in the context of mobile learning and ubiquitous learning as applied to territorial or environments systems. The precise context will be students in a formal educational context. Finally, the implication of these results is discussed, determining their effectiveness within the context of m-learning and u-learning scenarios in comparison with traditional teaching
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    Patrimonio Virtual del Territorio: Diseño e implementación de Recursos Educativos en Realidad Aumentada y Navegación Peatonal Móvil
    (VAEP-RITA Vol. 3, Núm. 1, Mar. 2015, 2015-03) Joo Nagata, Jorge; García-Bermejo Giner, José; Martínez Abad, Fernando
    In this research we intend to establish the relationships between local heritage educational content of software Pedestrian Navigation Systems Mobile-Augmented Reality and learning processes through mobile devices. In this context, we will create a process of teaching and learning linked to urban heritage, determining their educational effectiveness with these tools. Methodological research focuses on two dimensions: technological design of mobile learning platform and in determining educational modes of understanding of the program. We hope to build a patrimonial thematic unit and determine the significance in mLearning-uLearning processes, considering elements of identity and local culture.