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Real-time analysis of cataract surgery videos using statistical models

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Abstract

The automatic analysis of the surgical process, from videos recorded during surgeries, could be very useful to surgeons, both for training and for acquiring new techniques. The training process could be optimized by automatically providing some targeted recommendations or warnings, similar to the expert surgeon’s guidance. In this paper, we propose to reuse videos recorded and stored during cataract surgeries to perform the analysis. The proposed system allows to automatically recognize, in real time, what the surgeon is doing: what surgical phase or, more precisely, what surgical step he or she is performing. This recognition relies on the inference of a multilevel statistical model which uses 1) the conditional relations between levels of description (steps and phases) and 2) the temporal relations among steps and among phases. The model accepts two types of inputs: 1) the presence of surgical tools, manually provided by the surgeons, or 2) motion in videos, automatically analyzed through the Content Based Video retrieval (CBVR) paradigm. Different data-driven statistical models are evaluated in this paper. For this project, a dataset of 30 cataract surgery videos was collected at Brest University hospital. The system was evaluated in terms of area under the ROC curve. Promising results were obtained using either the presence of surgical tools (A z = 0.983) or motion analysis (A z = 0.759). The generality of the method allows to adapt it to other kinds of surgeries. The proposed solution could be used in a computer assisted surgery tool to support surgeons during the surgery.

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Notes

  1. http://opencv.org/

  2. https://wapiti.limsi.fr/

  3. Limited-memory Broyden-Fletcher-Goldfarb-Shanno.

  4. http://dlib.net/

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Acknowledgements

The authors would like to thank the Urban Community of Brest (Brest Métropole Océane) and the “Institut Mines-Télecom” for funding this project.

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Authors and Affiliations

  1. Institut Mines-Telecom; Telecom Bretagne; UEB; Dpt ITI, Brest, 29200, France

    Katia Charrière, Guy Cazuguel & Gouenou Coatrieux

  2. LaTIM - INSERM UMR 1101, Brest, 29200, France

    Katia Charrière, Gwénolé Quellec, Mathieu Lamard, David Martiano, Guy Cazuguel, Gouenou Coatrieux & Béatrice Cochener

  3. University Bretagne Occidentale, Brest, 29200, France

    Mathieu Lamard & Béatrice Cochener

  4. CHRU Brest, Service d’Ophtalmologie, Brest, 29200, France

    David Martiano & Béatrice Cochener

Authors
  1. Katia Charrière
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  2. Gwénolé Quellec
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  3. Mathieu Lamard
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  4. David Martiano
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  5. Guy Cazuguel
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  6. Gouenou Coatrieux
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  7. Béatrice Cochener
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Correspondence to Katia Charrière.

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Charrière, K., Quellec, G., Lamard, M. et al. Real-time analysis of cataract surgery videos using statistical models. Multimed Tools Appl 76, 22473–22491 (2017). https://doi.org/10.1007/s11042-017-4793-8

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  • DOI: https://doi.org/10.1007/s11042-017-4793-8

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