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Air-float palpation probe for tissue abnormality identification during minimally invasive surgery

  • Indika B. Wanninayake
  • , Prokar Dasgupta
  • , Lakmal D. Seneviratne
  • , Kaspar Althoefer
  • King's College London
  • Guy's Hospital

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

This paper presents a novel palpation probe based on optical fiber technology. It is designed to measure stiffness distribution of a soft tissue while sliding over the tissue surface in a near frictionless manner. A novelty of the probe is its ability to measure indentation depth for nonplanar tissue profiles which are commonly experienced during surgery. Since tumors are often harder than the surrounding tissue, the proposed probe can intraoperatively aid the surgeon to rapidly identify the presence, location, and size of the tumors through the generation of a tissue stiffness map. The probe can concurrently measure tissue reaction force, indentation depth, and the orientation of the probe with respect to the tissue surface. Hence, it can generate an elasticity model of the tissue with minimum measurement inaccuracies caused by surface profile variations. Further, the probe has a tunable force range and the indentation force can be adjusted externally to match tissue limitations. The performance of the probe developed was validated using simulated soft tissues samples. Our tumor identification experiments showed that the probe can accurately identify the location and size of tumors hidden inside nonflat tissue surfaces. Further, the probe has clearly demonstrated its potential to identify tumors with tumor-tissue stiffness ratios as low as 2.1.

Original languageBritish English
Article number6517529
Pages (from-to)2735-2744
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume60
Issue number10
DOIs
StatePublished - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer detection
  • Medical robotics
  • Optical sensors
  • Tumors

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