Mixed reality applications in urology: Requirements and future potential.

Augmented reality Augmented virtuality Mixed reality Urology Virtual reality

Journal

Annals of medicine and surgery (2012)
ISSN: 2049-0801
Titre abrégé: Ann Med Surg (Lond)
Pays: England
ID NLM: 101616869

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 08 04 2021
revised: 28 04 2021
accepted: 09 05 2021
entrez: 27 5 2021
pubmed: 28 5 2021
medline: 28 5 2021
Statut: epublish

Résumé

Mixed reality (MR), the computer-supported augmentation of a real environment with virtual elements, becomes ever more relevant in the medical domain, especially in urology, ranging from education and training over surgeries. We aimed to review existing MR technologies and their applications in urology. A non-systematic review of current literature was performed using the PubMed-Medline database using the medical subject headings (MeSH) term "mixed reality", combined with one of the following terms: "virtual reality", "augmented reality", ''urology'' and "augmented virtuality". The relevant studies were utilized. MR applications such as MR guided systems, immersive VR headsets, AR models, MR-simulated ureteroscopy and smart glasses have enormous potential in education, training and surgical interventions of urology. Medical students, urology residents and inexperienced urologists can gain experience thanks to MR technologies. MR applications are also used in patient education before interventions. For surgical support, the achievable accuracy is often not sufficient. The main challenges are the non-rigid nature of the genitourinary organs, intraoperative data acquisition, online and multimodal registration and calibration of devices. However, the progress made in recent years is tremendous in all respects and the gap is constantly shrinking.

Sections du résumé

BACKGROUND BACKGROUND
Mixed reality (MR), the computer-supported augmentation of a real environment with virtual elements, becomes ever more relevant in the medical domain, especially in urology, ranging from education and training over surgeries. We aimed to review existing MR technologies and their applications in urology.
METHODS METHODS
A non-systematic review of current literature was performed using the PubMed-Medline database using the medical subject headings (MeSH) term "mixed reality", combined with one of the following terms: "virtual reality", "augmented reality", ''urology'' and "augmented virtuality". The relevant studies were utilized.
RESULTS RESULTS
MR applications such as MR guided systems, immersive VR headsets, AR models, MR-simulated ureteroscopy and smart glasses have enormous potential in education, training and surgical interventions of urology. Medical students, urology residents and inexperienced urologists can gain experience thanks to MR technologies. MR applications are also used in patient education before interventions.
CONCLUSIONS CONCLUSIONS
For surgical support, the achievable accuracy is often not sufficient. The main challenges are the non-rigid nature of the genitourinary organs, intraoperative data acquisition, online and multimodal registration and calibration of devices. However, the progress made in recent years is tremendous in all respects and the gap is constantly shrinking.

Identifiants

pubmed: 34040777
doi: 10.1016/j.amsu.2021.102394
pii: S2049-0801(21)00344-7
pmc: PMC8141462
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

102394

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Gerd Reis (G)

German Research Center for Artificial Intelligence, Department Augmented Vision, Kaiserslautern, Germany.

Mehmet Yilmaz (M)

Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany.

Jason Rambach (J)

German Research Center for Artificial Intelligence, Department Augmented Vision, Kaiserslautern, Germany.

Alain Pagani (A)

German Research Center for Artificial Intelligence, Department Augmented Vision, Kaiserslautern, Germany.

Rodrigo Suarez-Ibarrola (R)

Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany.

Arkadiusz Miernik (A)

Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg, Germany.

Paul Lesur (P)

German Research Center for Artificial Intelligence, Department Augmented Vision, Kaiserslautern, Germany.

Nareg Minaskan (N)

German Research Center for Artificial Intelligence, Department Augmented Vision, Kaiserslautern, Germany.

Classifications MeSH