Literature DB >> 21399738

Fast Needle Insertion to Minimize Tissue Deformation and Damage.

Mohsen Mahvash1, Pierre E Dupont.   

Abstract

During needle-based procedures, transitions between tissue layers often involve puncture events that produce substantial deformation and tend to drive the needle off course. In this paper, we analyze the mechanics of these rupture events corresponding to unstable crack propagation during the insertion of a sharp needle in an inhomogeneous tissue. The force-deflection curve of the needle prior to a rupture event is modeled by a nonlinear viscoelastic Kelvin model and a stress analysis is used to predict the relationship between rupture force and needle velocity. The model predicts that the force-deflection response of the needle is steeper and the tissue absorbs less energy when the needle moves faster. The force of rupture also decreases for faster insertion under certain conditions. The observed properties are sufficient to show that maximizing needle velocity minimizes tissue deformation and damage, and consequently, results in less needle insertion position error. The model predicts that tissue deformation and absorbed energy asymptotically approach lower bounds as velocity increases. Experiments with porcine cardiac tissue confirm the analytical predictions.

Entities:  

Year:  2009        PMID: 21399738      PMCID: PMC3051196          DOI: 10.1109/ROBOT.2009.5152617

Source DB:  PubMed          Journal:  IEEE Int Conf Robot Autom        ISSN: 2154-8080


  4 in total

1.  Screw-Based Motion Planning for Bevel-Tip Flexible Needles in 3D Environments with Obstacles.

Authors:  Vincent Duindam; Ron Alterovitz; Shankar Sastry; Ken Goldberg
Journal:  IEEE Int Conf Robot Autom       Date:  2008-05-19

2.  Interactive simulation of needle insertion models.

Authors:  Simon P DiMaio; Septimiu E Salcudean
Journal:  IEEE Trans Biomed Eng       Date:  2005-07       Impact factor: 4.538

3.  Image-guided Control of Flexible Bevel-Tip Needles.

Authors:  Vinutha Kallem; Noah J Cowan
Journal:  IEEE Int Conf Robot Autom       Date:  2007-04-10

4.  Inverse Kinematics of Concentric Tube Steerable Needles.

Authors:  Patrick Sears; Pierre E Dupont
Journal:  IEEE Int Conf Robot Autom       Date:  2007
  4 in total
  8 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.  High-field MRI-compatible needle placement robot for prostate interventions.

Authors:  Hao Su; Alex Camilo; Gregory A Cole; Nobuhiko Hata; Clare M Tempany; Gregory S Fischer
Journal:  Stud Health Technol Inform       Date:  2011

Review 3.  Approaches to oocyte retrieval for advanced reproductive technology cycles planning to utilize in vitro maturation: a review of the many choices to be made.

Authors:  B I Rose
Journal:  J Assist Reprod Genet       Date:  2014-09-12       Impact factor: 3.412

4.  Effects of Axial Vibration on Needle Insertion into the Tail Veins of Rats and Subsequent Serial Blood Corticosterone Levels.

Authors:  Ryan S Clement; Erica L Unger; Olga M Ocón-Grove; Thomas L Cronin; Maureen L Mulvihill
Journal:  J Am Assoc Lab Anim Sci       Date:  2016-03       Impact factor: 1.232

5.  Needle insertion forces and fluid injection pressures during targeting of nerves in a soft embalmed cadaver model.

Authors:  Shengli Zhang; Graeme McLeod; Amy Sadler; Chumming Xia; Zihong Huang
Journal:  J Clin Monit Comput       Date:  2021-03-11       Impact factor: 2.502

Review 6.  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

7.  Design of an ultra-thin steerable probe for percutaneous interventions and preliminary evaluation in a gelatine phantom.

Authors:  Marta Scali; Paulien A H Veldhoven; Paul W J Henselmans; Dimitra Dodou; Paul Breedveld
Journal:  PLoS One       Date:  2019-09-04       Impact factor: 3.240

8.  Developing a novel force forecasting technique for early prediction of critical events in robotics.

Authors:  Meenakshi Narayan; Ann Majewicz Fey
Journal:  PLoS One       Date:  2020-05-07       Impact factor: 3.240

  8 in total

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