Literature DB >> 17113339

A biplanar fluoroscopic approach for the measurement, modeling, and simulation of needle and soft-tissue interaction.

James T Hing1, Ari D Brooks, Jaydev P Desai.   

Abstract

A methodology for modeling the needle and soft-tissue interaction during needle insertion is presented. The approach consists of the measurement of needle and tissue motion using a dual C-arm fluoroscopy system. Our dual C-arm fluoroscopy setup allows real time 3-D extraction of the displacement of implanted fiducials in the soft tissue during needle insertion to obtain the necessary parameters for accurate modeling of needle and soft-tissue interactions. The needle and implanted markers in the tissue are tracked during the insertion and withdrawal of the needle at speeds of 1.016 mm/s, 12.7 mm/s and 25.4 mm/s. Both image and force data are utilized to determine important parameters such as the approximate cutting force, puncture force, the local effective modulus (LEM) during puncture, and the relaxation of tissue. We have also validated the LEM computed from our finite element model with arbitrary needle puncture tasks. Based on these measurements, we developed a model for needle insertion and withdrawal that can be used to generate a 1-DOF force versus position profile that can be experienced by a user operating a haptic device. This profile was implemented on a 7-DOf haptic device designed in our laboratory.

Mesh:

Year:  2006        PMID: 17113339     DOI: 10.1016/j.media.2006.09.005

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  7 in total

1.  Motion Planning Under Uncertainty for Image-guided Medical Needle Steering.

Authors:  Ron Alterovitz; Michael Branicky; Ken Goldberg
Journal:  Int J Rob Res       Date:  2008       Impact factor: 4.703

2.  Tri-Axial MRI Compatible Fiber-optic Force Sensor.

Authors:  U-Xuan Tan; Bo Yang; Rao Gullapalli; Jaydev P Desai
Journal:  IEEE Trans Robot       Date:  2011-02-01       Impact factor: 5.567

3.  Behavior of tip-steerable needles in ex vivo and in vivo tissue.

Authors:  Ann Majewicz; Steven P Marra; Mark G van Vledder; MingDe Lin; Michael A Choti; Danny Y Song; Allison M Okamura
Journal:  IEEE Trans Biomed Eng       Date:  2012-06-13       Impact factor: 4.538

4.  Towards Real-time pose estimation of the Mitral Valve Robot under C-arm X-ray Fluoroscopy.

Authors:  Sharan R Ravigopal; Namrata U Nayar; Jaydev P Desai
Journal:  IEEE Trans Med Robot Bionics       Date:  2021-10-22

5.  Mechanics of dynamic needle insertion into a biological material.

Authors:  Mohsen Mahvash; Pierre E Dupont
Journal:  IEEE Trans Biomed Eng       Date:  2009-11-20       Impact factor: 4.538

6.  Towards a teleoperated needle driver robot with haptic feedback for RFA of breast tumors under continuous MRI.

Authors:  Rebecca Kokes; Kevin Lister; Rao Gullapalli; Bao Zhang; Alan MacMillan; Howard Richard; Jaydev P Desai
Journal:  Med Image Anal       Date:  2009-02-20       Impact factor: 8.545

Review 7.  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 in total

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