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Sequential surgical signatures in micro-suturing task

Authors :
Arnaud Huaulmé
Mamoru Mitsuishi
Kanako Harada
Germain Forestier
Pierre Jannin
Laboratoire Traitement du Signal et de l'Image (LTSI)
Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)
The University of Tokyo (UTokyo)
Modélisation, Intelligence, Processus et Système (MIPS)
Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse
ImPACT Program of Council for Science, Technology and Innovation, Cabinet Office, Government of Japan
Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))
Source :
International Journal of Computer Assisted Radiology and Surgery, International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩, International Journal of Computer Assisted Radiology and Surgery, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; Purpose: Surgical processes are generally only studied by identifying differences in populations such as participants or level of expertise. But the similarity between this population is also important in understanding the process. We therefore proposed to study these two aspects. Methods: In this article, we show how similarities in process workflow within a population can be identified as sequential surgical signatures. To this purpose, we have proposed a pattern mining approach to identify these signatures.Validation: We validated our method with a data set composed of seventeen micro-surgical suturing tasks performed by four participants with two levels of expertise.Results: We identified sequential surgical signatures specific to each participant , shared between participants with and without the same level of expertise. These signatures are also able to perfectly define the level of expertise of the participant who performed a new micro-surgical suturing task. However, it is more complicated to determine who the participant is, and the method correctly determines this information in only 64% of cases.Conclusion: We show for the first time the concept of sequential surgical signature. This new concept has the potential to further help to understand surgical procedures and provide useful knowledge to define future CAS systems.

Details

Language :
English
ISSN :
18616410 and 18616429
Database :
OpenAIRE
Journal :
International Journal of Computer Assisted Radiology and Surgery, International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩, International Journal of Computer Assisted Radiology and Surgery, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩
Accession number :
edsair.doi.dedup.....a6a5e841e52d7704372187feb61458ce
Full Text :
https://doi.org/10.1007/s11548-018-1775-x⟩