Surgical soundtracks: Towards automatic musical augmentation of surgical procedures

Sasan Matinfar; M. Ali Nasseri; Ulrich Eck; Hessam Roodaki; Navid Navab; Chris P. Lohmann; Mathias Maier; Nassir Navab

doi:10.1007/978-3-319-66185-8_76

Surgical soundtracks: Towards automatic musical augmentation of surgical procedures

Sasan Matinfar, M. Ali Nasseri, Ulrich Eck, Hessam Roodaki, Navid Navab, Chris P. Lohmann, Mathias Maier, Nassir Navab

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

8 Scopus citations

Abstract

Advances in sensing and digitalization enable us to acquire and present various heterogeneous datasets to enhance clinical decisions. Visual feedback is the dominant way of conveying such information. However, environments rich with many sources of information all presented through the same channel pose the risk of over stimulation and missing crucial information. The augmentation of the cognitive field by additional perceptual modalities such as sound is a workaround to this problem. A major challenge in auditory augmentation is the automatic generation of pleasant and ergonomic audio in complex routines, as opposed to overly simplistic feedback, to avoid fatigue. In this work, without loss of generality to other procedures, we propose a method for aural augmentation of ophthalmic procedures via automatic modification of musical pieces. Evaluations of this first proof of concept regarding recognizability of the conveyed information along with qualitative aesthetics show the potential of our method.

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings
Editors	Pierre Jannin, Simon Duchesne, Maxime Descoteaux, Alfred Franz, D. Louis Collins, Lena Maier-Hein
Publisher	Springer Verlag
Pages	673-681
Number of pages	9
ISBN (Print)	9783319661841
DOIs	https://doi.org/10.1007/978-3-319-66185-8_76
State	Published - 2017
Event	20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 - Quebec City, Canada Duration: 11 Sep 2017 → 13 Sep 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10434 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017
Country/Territory	Canada
City	Quebec City
Period	11/09/17 → 13/09/17

Access to Document

10.1007/978-3-319-66185-8_76

Cite this

Matinfar, S., Nasseri, M. A., Eck, U., Roodaki, H., Navab, N., Lohmann, C. P., Maier, M., & Navab, N. (2017). Surgical soundtracks: Towards automatic musical augmentation of surgical procedures. In P. Jannin, S. Duchesne, M. Descoteaux, A. Franz, D. L. Collins, & L. Maier-Hein (Eds.), Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings (pp. 673-681). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10434 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-66185-8_76

Matinfar, Sasan ; Nasseri, M. Ali ; Eck, Ulrich et al. / Surgical soundtracks : Towards automatic musical augmentation of surgical procedures. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. editor / Pierre Jannin ; Simon Duchesne ; Maxime Descoteaux ; Alfred Franz ; D. Louis Collins ; Lena Maier-Hein. Springer Verlag, 2017. pp. 673-681 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Advances in sensing and digitalization enable us to acquire and present various heterogeneous datasets to enhance clinical decisions. Visual feedback is the dominant way of conveying such information. However, environments rich with many sources of information all presented through the same channel pose the risk of over stimulation and missing crucial information. The augmentation of the cognitive field by additional perceptual modalities such as sound is a workaround to this problem. A major challenge in auditory augmentation is the automatic generation of pleasant and ergonomic audio in complex routines, as opposed to overly simplistic feedback, to avoid fatigue. In this work, without loss of generality to other procedures, we propose a method for aural augmentation of ophthalmic procedures via automatic modification of musical pieces. Evaluations of this first proof of concept regarding recognizability of the conveyed information along with qualitative aesthetics show the potential of our method.",

author = "Sasan Matinfar and Nasseri, {M. Ali} and Ulrich Eck and Hessam Roodaki and Navid Navab and Lohmann, {Chris P.} and Mathias Maier and Nassir Navab",

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Matinfar, S, Nasseri, MA, Eck, U, Roodaki, H, Navab, N, Lohmann, CP, Maier, M & Navab, N 2017, Surgical soundtracks: Towards automatic musical augmentation of surgical procedures. in P Jannin, S Duchesne, M Descoteaux, A Franz, DL Collins & L Maier-Hein (eds), Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10434 LNCS, Springer Verlag, pp. 673-681, 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City, Canada, 11/09/17. https://doi.org/10.1007/978-3-319-66185-8_76

Surgical soundtracks: Towards automatic musical augmentation of surgical procedures. / Matinfar, Sasan; Nasseri, M. Ali; Eck, Ulrich et al.
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. ed. / Pierre Jannin; Simon Duchesne; Maxime Descoteaux; Alfred Franz; D. Louis Collins; Lena Maier-Hein. Springer Verlag, 2017. p. 673-681 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10434 LNCS).

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

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AU - Matinfar, Sasan

AU - Nasseri, M. Ali

AU - Eck, Ulrich

AU - Roodaki, Hessam

AU - Navab, Navid

AU - Lohmann, Chris P.

AU - Maier, Mathias

AU - Navab, Nassir

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

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N2 - Advances in sensing and digitalization enable us to acquire and present various heterogeneous datasets to enhance clinical decisions. Visual feedback is the dominant way of conveying such information. However, environments rich with many sources of information all presented through the same channel pose the risk of over stimulation and missing crucial information. The augmentation of the cognitive field by additional perceptual modalities such as sound is a workaround to this problem. A major challenge in auditory augmentation is the automatic generation of pleasant and ergonomic audio in complex routines, as opposed to overly simplistic feedback, to avoid fatigue. In this work, without loss of generality to other procedures, we propose a method for aural augmentation of ophthalmic procedures via automatic modification of musical pieces. Evaluations of this first proof of concept regarding recognizability of the conveyed information along with qualitative aesthetics show the potential of our method.

AB - Advances in sensing and digitalization enable us to acquire and present various heterogeneous datasets to enhance clinical decisions. Visual feedback is the dominant way of conveying such information. However, environments rich with many sources of information all presented through the same channel pose the risk of over stimulation and missing crucial information. The augmentation of the cognitive field by additional perceptual modalities such as sound is a workaround to this problem. A major challenge in auditory augmentation is the automatic generation of pleasant and ergonomic audio in complex routines, as opposed to overly simplistic feedback, to avoid fatigue. In this work, without loss of generality to other procedures, we propose a method for aural augmentation of ophthalmic procedures via automatic modification of musical pieces. Evaluations of this first proof of concept regarding recognizability of the conveyed information along with qualitative aesthetics show the potential of our method.

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

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BT - Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings

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A2 - Collins, D. Louis

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PB - Springer Verlag

Y2 - 11 September 2017 through 13 September 2017

ER -

Matinfar S, Nasseri MA, Eck U, Roodaki H, Navab N, Lohmann CP et al. Surgical soundtracks: Towards automatic musical augmentation of surgical procedures. In Jannin P, Duchesne S, Descoteaux M, Franz A, Collins DL, Maier-Hein L, editors, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag. 2017. p. 673-681. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-66185-8_76

Surgical soundtracks: Towards automatic musical augmentation of surgical procedures

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