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Augmenting Performance: A Systematic Review of Optical See-Through Head-Mounted Displays in Surgery.
Doughty, Mitchell; Ghugre, Nilesh R; Wright, Graham A.
Afiliación
  • Doughty M; Department of Medical Biophysics, University of Toronto, Toronto, ON M5S 1A1, Canada.
  • Ghugre NR; Schulich Heart Program, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada.
  • Wright GA; Department of Medical Biophysics, University of Toronto, Toronto, ON M5S 1A1, Canada.
J Imaging ; 8(7)2022 Jul 20.
Article en En | MEDLINE | ID: mdl-35877647
We conducted a systematic review of recent literature to understand the current challenges in the use of optical see-through head-mounted displays (OST-HMDs) for augmented reality (AR) assisted surgery. Using Google Scholar, 57 relevant articles from 1 January 2021 through 18 March 2022 were identified. Selected articles were then categorized based on a taxonomy that described the required components of an effective AR-based navigation system: data, processing, overlay, view, and validation. Our findings indicated a focus on orthopedic (n=20) and maxillofacial surgeries (n=8). For preoperative input data, computed tomography (CT) (n=34), and surface rendered models (n=39) were most commonly used to represent image information. Virtual content was commonly directly superimposed with the target site (n=47); this was achieved by surface tracking of fiducials (n=30), external tracking (n=16), or manual placement (n=11). Microsoft HoloLens devices (n=24 in 2021, n=7 in 2022) were the most frequently used OST-HMDs; gestures and/or voice (n=32) served as the preferred interaction paradigm. Though promising system accuracy in the order of 2-5 mm has been demonstrated in phantom models, several human factors and technical challenges-perception, ease of use, context, interaction, and occlusion-remain to be addressed prior to widespread adoption of OST-HMD led surgical navigation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: J Imaging Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: J Imaging Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza