Literature DB >> 15458062

Computer-controlled motorized endoscopic grasper for in vivo measurement of soft tissue biomechanical characteristics.

Jeffrey D Brown1, Jacob Rosen, Manuel Moreyra, Mika Sinanan, Blake Hannaford.   

Abstract

Accurate biomechanical characteristics of tissues are essential for developing realistic virtual reality surgical simulators utilizing haptic devices. Surgical simulation technology has progressed rapidly but without a large database of soft tissue mechanical properties with which to incorporate. The device described here is a computer-controlled, motorized endoscopic grasper capable of applying surgically relevant levels of force to tissue in vivo and measuring the tissue's force-deformation properties.

Mesh:

Year:  2002        PMID: 15458062

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  A new fast nonlinear modeling of soft tissue for surgical simulation.

Authors:  Mobin Pourhosseini; Vahid Azimirad; Mostafa Kazemi
Journal:  J Robot Surg       Date:  2014-01-25

2.  Design and Evaluation of FBG-Based Tension Sensor in Laparoscope Surgical Robots.

Authors:  Renfeng Xue; Bingyin Ren; Jiaqing Huang; Zhiyuan Yan; Zhijiang Du
Journal:  Sensors (Basel)       Date:  2018-06-28       Impact factor: 3.576

3.  LAPKaans: Tool-Motion Tracking and Gripping Force-Sensing Modular Smart Laparoscopic Training System.

Authors:  Luis H Olivas-Alanis; Ricardo A Calzada-Briseño; Victor Segura-Ibarra; Elisa V Vázquez; Jose A Diaz-Elizondo; Eduardo Flores-Villalba; Ciro A Rodriguez
Journal:  Sensors (Basel)       Date:  2020-12-04       Impact factor: 3.576

4.  In situ measurement and modeling of biomechanical response of human cadaveric soft tissues for physics-based surgical simulation.

Authors:  Yi-Je Lim; Dhanannjay Deo; Tejinder P Singh; Daniel B Jones; Suvranu De
Journal:  Surg Endosc       Date:  2008-09-24       Impact factor: 4.584

Review 5.  Advances in bio-tactile sensors for minimally invasive surgery using the fibre Bragg grating force sensor technique: a survey.

Authors:  Abdulfatah A G Abushagur; Norhana Arsad; Mamun Ibne Reaz; A Ashrif A Bakar
Journal:  Sensors (Basel)       Date:  2014-04-09       Impact factor: 3.576

  5 in total

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