Name
Title | ||
|---|---|---|
Surgical instrument similarity metrics and tray analysis for multi-sensor instrument identification |
Abstract | ||
|---|---|---|
A robust identification of the instrument currently used by the surgeon is crucial for the automatic modeling and analysis of surgical procedures. Various approaches for intra-operative surgical instrument identification have been presented, mostly based on radio-frequency identification (RFID) or endoscopic video analysis. A novel approach is to identify the instruments on the instrument table of the scrub nurse with a combination of video and weight information. In a previous article, we successfully followed this approach and applied it to multiple instances of an ear, nose and throat (ENT) procedure and the surgical tray used therein. In this article, we present a metric for the suitability of the instruments of a surgical tray for identification by video and weight analysis and apply it to twelve trays of four different surgical domains (abdominal surgery, neurosurgery, orthopedics and urology). The used trays were digitized at the central sterile services department of the hospital. The results illustrate that surgical trays differ in their suitability for the approach. In general, additional weight information can significantly contribute to the successful identification of surgical instruments. Additionally, for ten different surgical instruments, ten exemplars of each instrument were tested for their weight differences. The samples indicate high weight variability in instruments with identical brand and model number. The results present a new metric for approaches aiming towards intra-operative surgical instrument detection and imply consequences for algorithms exploiting video and weight information for identification purposes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1117/12.2082091 | Proceedings of SPIE |
Keywords | Field | DocType |
Computer-assisted surgery,Surgical workflow,Surgical process model,Intra-operative monitoring,Instrument usage detection | Computer vision,Scrub nurse,Surgical trays,Instrument table,Surgical instrument,Artificial intelligence,Tray,Computer-assisted surgery,High weight,Physics | Conference |
Volume | ISSN | Citations |
9415 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernhard Glaser | 1 | 6 | 2.09 |
| tobias schellenberg | 2 | 0 | 0.34 |
| Stefan Franke | 3 | 32 | 4.33 |
| Stefan Dänzer | 4 | 6 | 1.08 |
| Thomas Neumuth | 5 | 228 | 29.47 |