Surgical instrument detection and tracking in orthopaedic surgery using computer vision

Abstract

<title>Abstract</title> The purpose of this study is to establish a methodology to digitalise the instrument tracking und object tracking analysis in orthopaedic surgery and possibly provide insights about surgical procedures by collecting and utilizing spatiotemporal data about the usage of surgical instruments without introducing new and costly equipment into the operating theatre. The proposed method utilises a computer vision-based approach. This paper applies an instrument tracking and object detection software on a brief video sequence of an open surgical procedure to generate data that can be utilized for analytical purposes. The object detection module provides categorical and spatial information about each detected instrument, whilst the tracking module assigns a unique ID to facilitate continuous tracking of the instruments detected by the object detection module to keep track of those instruments for the duration of their visibility in the surgical video. The findings demonstrate that this method successfully generates data for descriptive statistics. These statistics can offer a comprehensive overview of the surgical procedure, contributing to the enhancement of surgical safety and efficiency. In conclusion the computer vision-based method presented in this study provides an advancement in the digitisation of surgical procedures and object tracking. The ability to collect and analyze spatiotemporal data from standard webcams offers a cost-effective solution, potentially revolutionizing the understanding and improvement of surgical procedures. This method's success in generating descriptive statistics underscores its potential to enhance surgical safety and efficiency, presenting opportunities for further research and application in the field of orthopaedic surgery.

Ähnliche Arbeiten