Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures

Mauro Sylos Labini; Christina Gsaxner; Antonio Pepe; Juergen Wallner; Jan Egger; Vitoantonio Bevilacqua

doi:10.1007/978-3-030-26766-7_65

Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures

Mauro Sylos Labini, Christina Gsaxner, Antonio Pepe, Juergen Wallner, Jan Egger^*, Vitoantonio Bevilacqua

^*Corresponding author for this work

Institute of Computer Graphics and Vision (7100)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Computer-assisted surgery is a trending topic in research, with many different approaches which aim at supporting surgeons in the operating room. Existing surgical planning and navigation solutions are often considered to be distracting, unintuitive or hard to interpret. In this work, we address this issue with an approach based on mixed reality devices like Microsoft HoloLens. We assess the depth sensing capabilities of Microsoft HoloLens, and the potential benefit they could bring to computer-assisted surgery applications.

Original language	English
Title of host publication	Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings
Editors	Zhi-Kai Huang, Abir Hussain, De-Shuang Huang
Publisher	Springer Verlag Heidelberg
Pages	716-726
Number of pages	11
ISBN (Print)	9783030267650
DOIs	https://doi.org/10.1007/978-3-030-26766-7_65
Publication status	Published - 2019
Event	15th International Conference on Intelligent Computing: ICIC 2019 - Nanchang, China Duration: 3 Aug 2019 → 6 Aug 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11645 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Intelligent Computing
Country/Territory	China
City	Nanchang
Period	3/08/19 → 6/08/19

Keywords

Computer-assisted surgery
HoloLens
Mixed reality
Pattern recognition
RGB-Depth mapping
Time-of-flight camera

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-26766-7_65

Cite this

Sylos Labini, M., Gsaxner, C., Pepe, A., Wallner, J., Egger, J., & Bevilacqua, V. (2019). Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. In Z-K. Huang, A. Hussain, & D-S. Huang (Eds.), Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings (pp. 716-726). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11645 LNAI). Springer Verlag Heidelberg. https://doi.org/10.1007/978-3-030-26766-7_65

Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. / Sylos Labini, Mauro; Gsaxner, Christina ; Pepe, Antonio et al.
Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings. ed. / Zhi-Kai Huang; Abir Hussain; De-Shuang Huang. Springer Verlag Heidelberg, 2019. p. 716-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11645 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Sylos Labini, M, Gsaxner, C , Pepe, A, Wallner, J, Egger, J & Bevilacqua, V 2019, Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. in Z-K Huang, A Hussain & D-S Huang (eds), Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11645 LNAI, Springer Verlag Heidelberg, pp. 716-726, 15th International Conference on Intelligent Computing, Nanchang, China, 3/08/19. https://doi.org/10.1007/978-3-030-26766-7_65

Sylos Labini M, Gsaxner C , Pepe A, Wallner J, Egger J, Bevilacqua V. Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. In Huang Z-K, Hussain A, Huang D-S, editors, Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings. Springer Verlag Heidelberg. 2019. p. 716-726. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-26766-7_65

Sylos Labini, Mauro ; Gsaxner, Christina ; Pepe, Antonio et al. / Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures. Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings. editor / Zhi-Kai Huang ; Abir Hussain ; De-Shuang Huang. Springer Verlag Heidelberg, 2019. pp. 716-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Computer-assisted surgery is a trending topic in research, with many different approaches which aim at supporting surgeons in the operating room. Existing surgical planning and navigation solutions are often considered to be distracting, unintuitive or hard to interpret. In this work, we address this issue with an approach based on mixed reality devices like Microsoft HoloLens. We assess the depth sensing capabilities of Microsoft HoloLens, and the potential benefit they could bring to computer-assisted surgery applications.",

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Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

CAMed - Clinical Additive Manufacturing for Medical Applications

FWF - enFaced - Virtual and Augmented Reality Module for 3D Reconstruction

Aortic Dissection

Cite this

Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Projects

CAMed - Clinical Additive Manufacturing for Medical Applications

FWF - enFaced - Virtual and Augmented Reality Module for 3D Reconstruction

Aortic Dissection

Cite this