NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization

The visualization of the radiological results with more advanced techniques than the current ones, such as Augmented Reality and Virtual Reality technologies, represent a great advance for medical professionals, by eliminating their imagination capacity as an indispensable requirement for the unders...

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Detalhes bibliográficos
Autores: González Izard, Santiago, Alonso Plaza, Óscar, Sánchez Torres, Ramiro, Juanes Méndez, Juan Antonio, García-Peñalvo, Francisco J.
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Recursos:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/140552
Acesso em linha:http://hdl.handle.net/10366/140552
Access Level:acceso abierto
Palavra-chave:Virtual Reality
Augmented Reality
Medical Imaging
Automatic Segmentation
1203.17 Informática
Descrição
Resumo:The visualization of the radiological results with more advanced techniques than the current ones, such as Augmented Reality and Virtual Reality technologies, represent a great advance for medical professionals, by eliminating their imagination capacity as an indispensable requirement for the understanding of medical images. The problem is that for its application it is necessary to segment the anatomical areas of interest, and this currently involves the intervention of the human being. The Nextmed project is presented as a complete solution that includes DICOM images import, automatic segmentation of certain anatomical structures, 3D mesh generation of the segmented area, visualization engine with Augmented Reality and Virtual Reality, all thanks to different software platforms that have been implemented and detailed, including results obtained from real patients. We will focus on the visualization platform using both Augmented and Virtual Reality technologies to allow medical professionals to work with 3d model representation of medical images in a different way taking advantage of new technologies.