UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Vision-based and marker-less surgical tool detection and tracking: a review of the literature

Bouget, D; Allan, M; Stoyanov, D; Jannin, P; (2017) Vision-based and marker-less surgical tool detection and tracking: a review of the literature. Medical Image Analysis , 35 pp. 633-654. 10.1016/j.media.2016.09.003. Green open access

[img]
Preview
Text
Allan_2015_media_surgical_tool_detection_review.pdf - Accepted version

Download (6MB) | Preview

Abstract

In recent years, tremendous progress has been made in surgical practice for example with Minimally Invasive Surgery (MIS). To overcome challenges coming from deported eye-to-hand manipulation, robotic and computer-assisted systems have been developed. Having real-time knowledge of the pose of surgical tools with respect to the surgical camera and underlying anatomy is a key ingredient for such systems. In this paper, we present a review of the literature dealing with vision-based and marker-less surgical tool detection. This paper includes three primary contributions: (1) identification and analysis of data-sets used for developing and testing detection algorithms, (2) in-depth comparison of surgical tool detection methods from the feature extraction process to the model learning strategy and highlight existing shortcomings, and (3) analysis of validation techniques employed to obtain detection performance results and establish comparison between surgical tool detectors. The papers included in the review were selected through PubMed and Google Scholar searches using the keywords: “surgical tool detection”, “surgical tool tracking”, “surgical instrument detection” and “surgical instrument tracking” limiting results to the year range 2000 2015. Our study shows that despite significant progress over the years, the lack of established surgical tool data-sets, and reference format for performance assessment and method ranking is preventing faster improvement.

Type: Article
Title: Vision-based and marker-less surgical tool detection and tracking: a review of the literature
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.media.2016.09.003
Publisher version: http://dx.doi.org/10.1016/j.media.2016.09.003
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Artificial Intelligence, Computer Science, Interdisciplinary Applications, Engineering, Biomedical, Radiology, Nuclear Medicine & Medical Imaging, Computer Science, Engineering, Tool detection, Object detection, Data-set, Validation, Endoscopic/microscopic images, MINIMALLY INVASIVE SURGERY, SOFT-TISSUE SURGERY, LAPAROSCOPIC SURGERY, VISUAL TRACKING, RETINAL MICROSURGERY, INSTRUMENTS, SEGMENTATION, CLASSIFICATION, RECOGNITION, TEXTURE
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1524726
Downloads since deposit
733Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item