Identifying tool-tissue interactions to distinguish steps in simulated open inguinal hernia repair

Elizabeth Klosa; Rebecca Hisey; Kian Hashtrudi-Zaad; Boris Zevin; Tamas Ungi; Gabor Fichtinger

doi:10.1117/12.2654394

3 April 2023 Identifying tool-tissue interactions to distinguish steps in simulated open inguinal hernia repair

Elizabeth Klosa, Rebecca Hisey, Kian Hashtrudi-Zaad, Boris Zevin, Tamas Ungi, Gabor Fichtinger

Proceedings Volume 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling; 1246620 (2023) https://doi.org/10.1117/12.2654394
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

As medical education adopts a competency-based training approach, assessment of skills and timely provision of formative feedback is required. Provision of such assessment and feedback places a substantial time burden on surgeons. To reduce this time burden, we look to develop a computer-assisted training platform to provide both instruction and feedback to residents learning open Inguinal Hernia Repairs (IHR). To provide feedback on residents’ technical skills, we must first find a method of workflow recognition of the IHR. We thus aim to recognize and distinguish between workflow steps of an open IHR based on the presence and frequencies of different tool-tissue interactions occurring during each step. Based on ground truth tissue segmentations and tool bounding boxes, we identify the visible tissues within a bounding box. This provides an estimation of which tissues a tool is interacting with. The presence and frequencies of the interactions during each step are compared to determine whether this information can be used to distinguish between steps. Based on the ground truth tool-tissue interactions, the presence and frequencies of interactions during each step in the IHR show clear, distinguishable patterns. In conclusion, due to the distinct differences in the presence and frequencies of the tool-tissue interactions between steps, this offers a viable method of step recognition of an open IHR performed on a phantom.

Citation Download Citation

Elizabeth Klosa, Rebecca Hisey, Kian Hashtrudi-Zaad, Boris Zevin, Tamas Ungi, and Gabor Fichtinger "Identifying tool-tissue interactions to distinguish steps in simulated open inguinal hernia repair", Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 1246620 (3 April 2023); https://doi.org/10.1117/12.2654394

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