Literature DB >> 17173888

Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model.

Daniele Bertaccini1, Daniela Calvetti.   

Abstract

An efficient computational method for near real-time simulation of thermal ablation of tumors via radio frequencies is proposed. Model simulations of the temperature field in a 3D portion of tissue containing the tumoral mass for different patterns of source heating can be used to design the ablation procedure. The availability of a very efficient computational scheme makes it possible to update the predicted outcome of the procedure in real time. In the algorithms proposed here a discretization in space of the governing equations is followed by an adaptive time integration based on implicit multistep formulas. A modification of the ode15s MATLAB function which uses Krylov space iterative methods for the solution of the linear systems arising at each integration step makes it possible to perform the simulations on standard desktop for much finer grids than using the built-in ode15s. The proposed algorithm can be applied to a wide class of nonlinear parabolic differential equations.

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Year:  2006        PMID: 17173888      PMCID: PMC2045071          DOI: 10.1016/j.compbiomed.2006.10.008

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Thermal model for fast simulation during magnetic resonance imaging guidance of radio frequency tumor ablation.

Authors:  Peter C Johnson; Gerald M Saidel
Journal:  Ann Biomed Eng       Date:  2002       Impact factor: 3.934

Review 2.  Radiofrequency tumor ablation: insight into improved efficacy using computer modeling.

Authors:  Zhengjun Liu; S Melvyn Lobo; Stanley Humphries; Clare Horkan; Stephanie A Solazzo; Andrew U Hines-Peralta; Robert E Lenkinski; S Nahum Goldberg
Journal:  AJR Am J Roentgenol       Date:  2005-04       Impact factor: 3.959

3.  Three-dimensional comparison of interventional MR radiofrequency ablation images with tissue response.

Authors:  Michael S Breen; Roee S Lazebnik; Sherif G Nour; Jonathan S Lewin; David L Wilson
Journal:  Comput Aided Surg       Date:  2004
  3 in total

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