DocumentCode
663395
Title
Telerobotic palpation for tumor localization with depth estimation
Author
Talasaz, Ali ; Patel, Rajni V.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
fYear
2013
fDate
3-7 Nov. 2013
Firstpage
463
Lastpage
468
Abstract
This work is aimed at developing a new minimally invasive approach to characterize tissue properties in real time during telerobotic palpation and to localize tissue abnormality while estimating its depth. This method relies on using a minimally invasive probe with a rigidly mounted tactile sensor at the tip to capture the force distribution map and the indentation depth by each tactile element and thereby generating a stiffness map for the palpated tissue. The hybrid impedance control technique is used for this approach to enable the operator to switch between position control and force control and thereby to autonomously obtain the required information from the remote tissue. The operator would then be able to localize tissue abnormality based on the force distribution map, the tissue stiffness map and the indentation depth which are visually presented to him/her in real time. This method also enables the operator to estimate the depth at which the tissue abnormality is located. Our results show that tactile sensing alone may be unable to detect tumors embedded deep inside tissue and may also not be a good alternative for palpation on uneven tissue surfaces.
Keywords
force control; medical robotics; position control; spatial variables measurement; surgery; tactile sensors; telerobotics; tumours; depth estimation; force control; force distribution map; hybrid impedance control technique; indentation depth; minimally invasive probe; position control; robotics-assisted minimally invasive surgery; tactile sensing; tactile sensor; telerobotic palpation; tissue abnormality localization; tissue properties characterization; tissue stiffness map; tumor detection; tumor localization; Force; Force measurement; Probes; Tactile sensors; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location
Tokyo
ISSN
2153-0858
Type
conf
DOI
10.1109/IROS.2013.6696392
Filename
6696392
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