ArticleInternational journal of computer assisted radiology and surgery2015
Intra-operative surgical instrument usage detection on a multi-sensor table.
Article in International journal of computer assisted radiology and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Toward Intraoperative Visual Intelligence: Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring.Healthcare (Basel, Switzerland) · 2024Article
- An efficient annotation method for image recognition of dental instruments.Scientific reports · 2023Article
- State-of-the-art of situation recognition systems for intraoperative procedures.Medical & biological engineering & computing · 2022Review
- Computer vision coaching microsurgical laboratory training: PRIME (Proficiency Index in Microsurgical Education) proof of concept.Neurosurgical review · 2022Article
- Measuring and evaluating standardization of scrub nurse instrument table setups: a multi-center study.International journal of computer assisted radiology and surgery · 2022Article
- The intelligent OR: design and validation of a context-aware surgical working environment.International journal of computer assisted radiology and surgery · 2018Article
- A survey of context recognition in surgery.Medical & biological engineering & computing · 2017Review
- Surgical process modeling.Innovative surgical sciences · 2017Review
- 'It is Time to Prepare the Next patient' Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies.Journal of medical systems · 2016Article
- Design and evaluation of an interactive training system for scrub nurses.International journal of computer assisted radiology and surgery · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAutomatic detection, classification and recording of operating room (OR) activities in real time during a surgical procedure requires a wide range of sensors to gather information on the activities of the surgeon and staff, the patient, and the OR equipment. The surgical instrument currently being used is an important parameter used to assess the instantaneous operating room status. An automated system was developed that detects unmodified surgical instruments in real time using a sensor-based table.
methodsA multi-sensor operating room table was designed featuring a 2D camera, digital scale, and infrared camera. Software was developed to detect and record the sequence of changes on the table during a surgical procedure. The detection rates were evaluated under laboratory conditions by recording the observed instrument usage in 27 functional endoscopic sinus surgeries (FESS).
resultsThe detection rate achieved using video-based detection alone was 84.9 %. The total detection rate achieved with the combined approach using both video- and weight-based information was 90.3 %.
conclusionA multi-sensor table-based automated instrument tracking system was developed that provides a foundation for the intra-operative detection of surgical instruments without modifying the instruments in the surgical tray. This system was tested and found to satisfy clinical FESS requirements with a reasonable accuracy. This system may also be useful to improve patient safety, for example to prevent instruments being left in the patient.
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