Literature DB >> 24808305

Integration of force reflection with tactile sensing for minimally invasive robotics-assisted tumor localization.

A Talasaz, R V Patel.   

Abstract

Tactile sensing and force reflection have been the subject of considerable research for tumor localization in soft-tissue palpation. The work presented in this paper investigates the relevance of force feedback (presented visually as well as directly) during tactile sensing (presented visually only) for tumor localization using an experimental setup close to one that could be applied for real robotics-assisted minimally invasive surgery. The setup is a teleoperated (master-slave) system facilitated with a state-of-the-art minimally invasive probe with a rigidly mounted tactile sensor at the tip and an externally mounted force sensor at the base of the probe. The objective is to capture the tactile information and measure the interaction forces between the probe and tissue during palpation and to explore how they can be integrated to improve the performance of tumor localization. To quantitatively explore the effect of force feedback on tactile sensing tumor localization, several experiments were conducted by human subjects to locate artificial tumors embedded in the ex vivo bovine livers. The results show that using tactile sensing in a force-controlled environment can realize, on average, 57 percent decrease in the maximum force and 55 percent decrease in the average force applied to tissue while increasing the tumor detection accuracy by up to 50 percent compared to the case of using tactile feedback alone. The results also show that while visual presentation of force feedback gives straightforward quantitative measures, improved performance of tactile sensing tumor localization is achieved at the expense of longer times for the user. Also, the quickness and intuitive data mapping of direct force feedback makes it more appealing to experienced users.

Entities:  

Mesh:

Year:  2013        PMID: 24808305     DOI: 10.1109/TOH.2012.64

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  6 in total

1.  Object-shape recognition and 3D reconstruction from tactile sensor images.

Authors:  Anwesha Khasnobish; Garima Singh; Arindam Jati; Amit Konar; D N Tibarewala
Journal:  Med Biol Eng Comput       Date:  2014-01-28       Impact factor: 2.602

2.  Palpation force modulation strategies to identify hard regions in soft tissue organs.

Authors:  Jelizaveta Konstantinova; Giuseppe Cotugno; Prokar Dasgupta; Kaspar Althoefer; Thrishantha Nanayakkara
Journal:  PLoS One       Date:  2017-02-15       Impact factor: 3.240

Review 3.  Recent Progress in Technologies for Tactile Sensors.

Authors:  Cheng Chi; Xuguang Sun; Ning Xue; Tong Li; Chang Liu
Journal:  Sensors (Basel)       Date:  2018-03-22       Impact factor: 3.576

4.  Study of the Operational Safety of a Vascular Interventional Surgical Robotic System.

Authors:  Jian Guo; Xiaoliang Jin; Shuxiang Guo
Journal:  Micromachines (Basel)       Date:  2018-03-08       Impact factor: 2.891

5.  DNN-Based Assistant in Laparoscopic Computer-Aided Palpation.

Authors:  Tomohiro Fukuda; Yoshihiro Tanaka; Michitaka Fujiwara; Akihito Sano
Journal:  Front Robot AI       Date:  2018-06-19

6.  Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19: Existing Challenges, and Future Vision.

Authors:  Navid Feizi; Mahdi Tavakoli; Rajni V Patel; S Farokh Atashzar
Journal:  Front Robot AI       Date:  2021-04-14
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.