Literature DB >> 19272862

Optimizing electrode placement using finite-element models in radiofrequency ablation treatment planning.

Chun-Cheng R Chen1, Michael I Miga, Robert L Galloway.   

Abstract

Conventional radiofrequency ablation (RFA) planning methods for identifying suitable electrode placements typically use geometric shapes to model ablation outcomes. A method is presented for searching electrode placements that couples finite-element models (FEMs) of RFA together with a novel optimization strategy. The method was designed to reduce the need for model solutions per local search step. The optimization strategy was tested against scenarios requiring single and multiple ablations. In particular, for a scenario requiring multiple ablations, a domain decomposition strategy was described to minimize the complexity of simultaneously searching multiple electrode placements. The effects of nearby vasculature on optimal electrode placement were also studied. Compared with geometric planning approaches, FEMs could potentially deliver electrode placement plans that provide more physically meaningful predictions of therapeutic outcomes.

Mesh:

Year:  2008        PMID: 19272862     DOI: 10.1109/TBME.2008.2010383

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  15 in total

1.  High-fidelity computer models for prospective treatment planning of radiofrequency ablation with in vitro experimental correlation.

Authors:  David Fuentes; Rex Cardan; R Jason Stafford; Joshua Yung; Gerald D Dodd; Yusheng Feng
Journal:  J Vasc Interv Radiol       Date:  2010-11       Impact factor: 3.464

2.  Mathematical spatio-temporal model of drug delivery from low temperature sensitive liposomes during radiofrequency tumour ablation.

Authors:  Astrid Gasselhuber; Matthew R Dreher; Ayele Negussie; Bradford J Wood; Frank Rattay; Dieter Haemmerich
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

3.  Mathematical modeling of impedance controlled radiofrequency tumor ablation and ex-vivo validation.

Authors:  Dieter Haemmerich
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

4.  Visualization support for the planning of hepatic needle placement.

Authors:  Christian Schumann; Jennifer Bieberstein; Stefan Braunewell; Matthias Niethammer; Heinz-Otto Peitgen
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-06-09       Impact factor: 2.924

5.  Interactive multi-criteria planning for radiofrequency ablation.

Authors:  Christian Schumann; Christian Rieder; Sabrina Haase; Katrin Teichert; Philipp Süss; Peter Isfort; Philipp Bruners; Tobias Preusser
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-23       Impact factor: 2.924

6.  Computer-assisted planning for a concentric tube robotic system in neurosurgery.

Authors:  Josephine Granna; Arya Nabavi; Jessica Burgner-Kahrs
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-11-27       Impact factor: 2.924

7.  Kalman filtered MR temperature imaging for laser induced thermal therapies.

Authors:  D Fuentes; J Yung; J D Hazle; J S Weinberg; R J Stafford
Journal:  IEEE Trans Med Imaging       Date:  2011-12-22       Impact factor: 10.048

Review 8.  Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective.

Authors:  Ghassan S Kassab; Gary An; Edward A Sander; Michael I Miga; Julius M Guccione; Songbai Ji; Yoram Vodovotz
Journal:  Ann Biomed Eng       Date:  2016-03-25       Impact factor: 3.934

Review 9.  Computational Modeling for Enhancing Soft Tissue Image Guided Surgery: An Application in Neurosurgery.

Authors:  Michael I Miga
Journal:  Ann Biomed Eng       Date:  2015-09-09       Impact factor: 3.934

10.  Optimization of tissue physical parameters for accurate temperature estimation from finite-element simulation of radiofrequency ablation.

Authors:  Swetha Subramanian; T Douglas Mast
Journal:  Phys Med Biol       Date:  2015-09-09       Impact factor: 3.609

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