Title :
Air-float Palpation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery
Author :
Wanninayake, Indika B. ; Dasgupta, Parthasarathi ; Seneviratne, Lakmal D. ; Althoefer, Kaspar
Author_Institution :
Dept. of Inf., King´s Coll. London, London, UK
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.
Keywords :
biomechanics; biomedical optical imaging; elastic constants; fibre optic sensors; indentation; medical robotics; physiological models; probes; surgery; tumours; air-float palpation probe; elasticity model; indentation depth; indentation force; minimally invasive surgery; nonflat tissue surface; nonplanar tissue profile; optical fiber technology; probe orientation; soft tissue sample; stiffness distribution; surface profile variation; surrounding tissue; tissue reaction force; tissue stiffness map; tumor identification; tumor location; tumor size; tumor-tissue stiffness ratio; tunable force range; Force; Optical sensors; Probes; Robots; Surgery; Tumors; Cancer detection; medical robotics; optical sensors; tumors; Air; Diagnosis, Computer-Assisted; Equipment Design; Equipment Failure Analysis; Fiber Optic Technology; Humans; Manometry; Monitoring, Intraoperative; Neoplasms, Experimental; Palpation; Reproducibility of Results; Sensitivity and Specificity; Surgery, Computer-Assisted; Surgical Procedures, Minimally Invasive;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2013.2264287