DocumentCode :
1491394
Title :
Rolling Indentation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery
Author :
Liu, Hongbin ; Li, Jichun ; Song, Xiaojing ; Seneviratne, Lakmal D. ; Althoefer, Kaspar
Author_Institution :
Centre for Robotic Res., Kings Coll. London, London, UK
Volume :
27
Issue :
3
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
450
Lastpage :
460
Abstract :
This paper presents a novel optical fiber-based rolling indentation probe designed to measure the stiffness distribution of a soft tissue while rolling over the tissue surface during minimally invasive surgery. By fusing the measurements along rolling paths, the probe can generalize a mechanical image to visualize the stiffness distribution within the internal tissue structure. Since tissue abnormalities are often firmer than the surrounding organ or parenchyma, a surgeon then can localize abnormalities by analyzing the image. The performance of the developed probe was validated using simulated soft tissues. Results show that the probe can measure both force and indentation depth accurately with different orientations when the probe approached and rolled on the tissue surface. In addition, experiments for tumor, identification through rolling indentation were conducted. The size and embedded depth of the tumor, as well as the stiffness ratio between the tumor and tissue, were varied during tests. Results demonstrate that the probe can effectively and accurately identify the embedded tumors.
Keywords :
biological tissues; biomedical optical imaging; fibre optic sensors; indentation; medical image processing; medical robotics; robot vision; surgery; embedded tumor; force depth; indentation depth; internal tissue structure; mechanical image; minimally invasive surgery; optical fiber-based rolling indentation probe; soft tissue surface; stiffness distribution; tissue abnormality identification; tissue surface; Biological tissues; Force; Optical sensors; Probes; Surgery; Tumors; Cancer detection; force feedback; medical robotics; robot sensing systems;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2011.2127210
Filename :
5746537
Link To Document :
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