Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone | Zendy

Rafael Moreta-Martínez | Zendy; David GarcíaMato | Zendy; Mónica GarcíaSevilla | Zendy; Rubén PérezMañanes | Zendy; José Antonio Calvo-Haro | Zendy; Javier Pascau | Zendy

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Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Author(s) -

Rafael Moreta-Martínez,

David GarcíaMato,

Mónica GarcíaSevilla,

Rubén PérezMañanes,

José Antonio Calvo-Haro,

Javier Pascau

Publication year - 2020

Publication title -

journal of visualized experiments

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.596

H-Index - 91

ISSN - 1940-087X

DOI - 10.3791/60618

Subject(s) - protocol (science) , computer science , augmented reality , software , visualization , human–computer interaction , 3d printer , 3d printing , 3d model , rapid prototyping , 3d modeling , virtual reality , 3d printed , modality (human–computer interaction) , multimedia , field (mathematics) , artificial intelligence , medicine , biomedical engineering , pathology , materials science , alternative medicine , pure mathematics , engineering , composite material , programming language , mechanical engineering , mathematics

Augmented reality (AR) has great potential in education, training, and surgical guidance in the medical field. Its combination with three-dimensional (3D) printing (3DP) opens new possibilities in clinical applications. Although these technologies have grown exponentially in recent years, their adoption by physicians is still limited, since they require extensive knowledge of engineering and software development. Therefore, the purpose of this protocol is to describe a step-by-step methodology enabling inexperienced users to create a smartphone app, which combines AR and 3DP for the visualization of anatomical 3D models of patients with a 3D-printed reference marker. The protocol describes how to create 3D virtual models of a patient's anatomy derived from 3D medical images. It then explains how to perform positioning of the 3D models with respect to marker references. Also provided are instructions for how to 3D print the required tools and models. Finally, steps to deploy the app are provided. The protocol is based on free and multi-platform software and can be applied to any medical imaging modality or patient. An alternative approach is described to provide automatic registration between a 3D-printed model created from a patient's anatomy and the projected holograms. As an example, a clinical case of a patient suffering from distal leg sarcoma is provided to illustrate the methodology. It is expected that this protocol will accelerate the adoption of AR and 3DP technologies by medical professionals.

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