Literature DB >> 16685923

3D needle-tissue interaction simulation for prostate brachytherapy.

Orcun Goksel1, Septimiu E Salcudean, Simon P DiMaio, Robert Rohling, James Morris.   

Abstract

This paper presents a needle-tissue interaction model that is a 3D extension of a prior work based on the finite element method. The model is also adapted to accommodate arbitrary meshes so that the anatomy can effectively be meshed using third-party algorithms. Using this model a prostate brachytherapy simulator is designed to help medical residents acquire needle steering skills. This simulation uses a prostate mesh generated from clinical data segmented as contours on parallel slices. Node repositioning and addition, which are methods for achieving needle-tissue coupling, are discussed. In order to achieve realtime haptic rates, computational approaches to these methods are compared. Specifically, the benefit of using the Woodbury formula (matrix inversion lemma) is studied. Our simulation of needle insertion into a prostate is shown to run faster than 1 kHz.

Mesh:

Year:  2005        PMID: 16685923     DOI: 10.1007/11566465_102

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  5 in total

1.  Development and validation of a viscoelastic and nonlinear liver model for needle insertion.

Authors:  Yo Kobayashi; Akinori Onishi; Takeharu Hoshi; Kazuya Kawamura; Makoto Hashizume; Masakatsu G Fujie
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-28       Impact factor: 2.924

2.  Feedback Control for Steering Needles Through 3D Deformable Tissue Using Helical Paths.

Authors:  Kris Hauser; Ron Alterovitz; Nuttapong Chentanez; Allison Okamura; Ken Goldberg
Journal:  Robot Sci Syst       Date:  2009-06-28

3.  Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review.

Authors:  Sarthak Misra; K T Ramesh; Allison M Okamura
Journal:  Presence (Camb)       Date:  2008-10-01

4.  The importance of organ geometry and boundary constraints for planning of medical interventions.

Authors:  S Misra; K J Macura; K T Ramesh; A M Okamura
Journal:  Med Eng Phys       Date:  2008-09-23       Impact factor: 2.242

5.  MR-compatible biopsy needle with enhanced tip force sensing.

Authors:  Santhi Elayaperumal; Jung Hwa Bae; David Christensen; Mark R Cutkosky; Bruce L Daniel; Joannes M Costa; Richard J Black; Fereydoun Faridian; Behzad Moslehi
Journal:  World Haptics Conf       Date:  2013-04
  5 in total

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