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

^*Korrespondierende/r Autor/-in für diese Arbeit

Institute of Visual Computing (7100)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings
Redakteure/-innen	Zhi-Kai Huang, Abir Hussain, De-Shuang Huang
Herausgeber (Verlag)	Springer Verlag Heidelberg
Seiten	716-726
Seitenumfang	11
ISBN (Print)	9783030267650
DOIs	https://doi.org/10.1007/978-3-030-26766-7_65
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	15th International Conference on Intelligent Computing: ICIC 2019 - Nanchang, China Dauer: 3 Aug. 2019 → 6 Aug. 2019

Publikationsreihe

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

Konferenz

Konferenz	15th International Conference on Intelligent Computing
Land/Gebiet	China
Ort	Nanchang
Zeitraum	3/08/19 → 6/08/19

ASJC Scopus subject areas

Theoretische Informatik
Allgemeine Computerwissenschaft

Zugriff auf Dokument

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

Andere Dateien und Links

https://www.scopus.com/pages/publications/85070670338

CAMed - Klinische Fertigungsverfahren für medizinische Anwendungen
Vorraber, W. (Projektleiter an der OE), Url, P. (Teilnehmer / Mitarbeiter), Voessner, S. (Teilnehmer / Mitarbeiter) & Egger, J. (Projektleiter an der OE)
1/11/18 → 31/10/23
Projekt: Forschungsprojekt
FWF - enFaced - Virtuelle und Augmentierte Realität zur 3D Rekonstruktion
Schmalstieg, D. (Projektleiter an der OE), Egger, J. (Projektleiter an der OE) & Schwarz-Gsaxner, C. (Teilnehmer / Mitarbeiter)
1/07/18 → 30/06/21
Projekt: Forschungsprojekt
Aortendissektion
Egger, J. (Projektleiter an der OE), Biro, O. (Projektleiter an der OE), Schussnig, R. (Teilnehmer / Mitarbeiter), Ranftl, S. (Teilnehmer / Mitarbeiter), Jafarinia, A. (Projektleiter an der OE), Hochrainer, T. (Projektleiter an der OE), Ramalho Queiroz Pacheco, D. (Teilnehmer / Mitarbeiter), Rolf, M. (Teilnehmer / Mitarbeiter), Schanz, M. (Projektleiter an der OE), Gupta, I. (Teilnehmer / Mitarbeiter), Brenn, G. (Projektleiter an der OE), von der Linden, W. (Projektleiter an der OE), Melito, G. M. (Teilnehmer / Mitarbeiter), Fries, T.-P. (Projektleiter an der OE), Müller, T. S. (Teilnehmer / Mitarbeiter), Schmalstieg, D. (Projektleiter an der OE), Steinbach, O. (Projektleiter an der OE), Holzapfel, G. (Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten), Ellermann, K. (Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten), Pepe, A. (Projektleiter an der OE) & Badeli, V. (Teilnehmer / Mitarbeiter)
1/01/18 → 31/12/20
Projekt: Forschungsprojekt

Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment
Pepe, A., Trotta, G. F., Gsaxner, C., Schmalstieg, D., Wallner, J., Egger, J. & Bevilacqua, V., 2019, BMEiCON 2018 - 11th Biomedical Engineering International Conference. 8609921
Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Dieses zitieren

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 (Hrsg.), Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings (S. 716-726). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 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. Hrsg. / Zhi-Kai Huang; Abir Hussain; De-Shuang Huang. Springer Verlag Heidelberg, 2019. S. 716-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11645 LNAI).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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 (Hrsg.), 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), Bd. 11645 LNAI, Springer Verlag Heidelberg, S. 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 ZK, Hussain A, Huang DS, Hrsg., Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings. Springer Verlag Heidelberg. 2019. S. 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. Hrsg. / Zhi-Kai Huang ; Abir Hussain ; De-Shuang Huang. Springer Verlag Heidelberg, 2019. S. 716-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures",

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.",

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

author = "\{Sylos Labini\}, Mauro and Christina Gsaxner and Antonio Pepe and Juergen Wallner and Jan Egger and Vitoantonio Bevilacqua",

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note = "15th International Conference on Intelligent Computing : ICIC 2019 ; Conference date: 03-08-2019 Through 06-08-2019",

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AU - Sylos Labini, Mauro

AU - Gsaxner, Christina

AU - Pepe, Antonio

AU - Wallner, Juergen

AU - Egger, Jan

AU - Bevilacqua, Vitoantonio

PY - 2019

Y1 - 2019

N2 - 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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KW - Computer-assisted surgery

KW - HoloLens

KW - Mixed reality

KW - Pattern recognition

KW - RGB-Depth mapping

KW - Time-of-flight camera

UR - https://www.scopus.com/pages/publications/85070670338

U2 - 10.1007/978-3-030-26766-7_65

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

M3 - Conference paper

AN - SCOPUS:85070670338

SN - 9783030267650

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 716

EP - 726

BT - Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings

A2 - Huang, Zhi-Kai

A2 - Hussain, Abir

A2 - Huang, De-Shuang

PB - Springer Verlag Heidelberg

T2 - 15th International Conference on Intelligent Computing

Y2 - 3 August 2019 through 6 August 2019

ER -

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

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Projekte

CAMed - Klinische Fertigungsverfahren für medizinische Anwendungen

FWF - enFaced - Virtuelle und Augmentierte Realität zur 3D Rekonstruktion

Aortendissektion

Publikationen

Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment

Dieses zitieren