Literature DB >> 23193302

Coaxial needle insertion assistant with enhanced force feedback.

Danilo De Lorenzo1, Yoshihiko Koseki, Elena De Momi, Kiyoyuki Chinzei, Allison M Okamura.   

Abstract

Many medical procedures involving needle insertion into soft tissues, such as anesthesia, biopsy, brachytherapy, and placement of electrodes, are performed without image guidance. In such procedures, haptic detection of changing tissue properties at different depths during needle insertion is important for needle localization and detection of subsurface structures. However, changes in tissue mechanical properties deep inside the tissue are difficult for human operators to sense, because the relatively large friction force between the needle shaft and the surrounding tissue masks the smaller tip forces. A novel robotic coaxial needle insertion assistant, which enhances operator force perception, is presented. This one-degree-of-freedom cable-driven robot provides to the operator a scaled version of the force applied by the needle tip to the tissue, using a novel design and sensors that separate the needle tip force from the shaft friction force. The ability of human operators to use the robot to detect membranes embedded in artificial soft tissue was tested under the conditions of 1) tip force and shaft force feedback, and 2) tip force only feedback. The ratio of successful to unsuccessful membrane detections was significantly higher (up to 50%) when only the needle tip force was provided to the user.

Entities:  

Mesh:

Year:  2012        PMID: 23193302     DOI: 10.1109/TBME.2012.2227316

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Hand-tool-tissue interaction forces in neurosurgery for haptic rendering.

Authors:  Marco Aggravi; Elena De Momi; Francesco DiMeco; Francesco Cardinale; Giuseppe Casaceli; Marco Riva; Giancarlo Ferrigno; Domenico Prattichizzo
Journal:  Med Biol Eng Comput       Date:  2015-12-31       Impact factor: 2.602

Review 2.  Sensor, signal, and imaging informatics: big data and smart health technologies.

Authors:  S Voros; A Moreau-Gaudry
Journal:  Yearb Med Inform       Date:  2014-08-15

Review 3.  Prevalence of haptic feedback in robot-mediated surgery: a systematic review of literature.

Authors:  Farshid Amirabdollahian; Salvatore Livatino; Behrad Vahedi; Radhika Gudipati; Patrick Sheen; Shan Gawrie-Mohan; Nikhil Vasdev
Journal:  J Robot Surg       Date:  2017-12-01

4.  MR-Compatible Haptic Display of Membrane Puncture in Robot-Assisted Needle Procedures.

Authors:  Amy Kyungwon Han; Jung Hwa Bae; Katerina C Gregoriou; Christopher J Ploch; Roger E Goldman; Gary H Glover; Bruce L Daniel; Mark R Cutkosky
Journal:  IEEE Trans Haptics       Date:  2018-03-19       Impact factor: 2.487

Review 5.  Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature.

Authors:  Chongjun Yang; Yu Xie; Shuang Liu; Dong Sun
Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

6.  Mathematical modeling and computer simulation of needle insertion into soft tissue.

Authors:  Adam Wittek; George Bourantas; Benjamin F Zwick; Grand Joldes; Lionel Esteban; Karol Miller
Journal:  PLoS One       Date:  2020-12-22       Impact factor: 3.240

Review 7.  Recent advances in critical nodes of embryo engineering technology.

Authors:  Youwen Ma; Mingwei Gu; Liguo Chen; Hao Shen; Yifan Pan; Yan Pang; Sheng Miao; Ruiqing Tong; Haibo Huang; Yichen Zhu; Lining Sun
Journal:  Theranostics       Date:  2021-05-25       Impact factor: 11.556

  7 in total

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