Literature DB >> 11719964

A method of MRI-based thermal modelling for a RF phased array.

S K Das1, E A Jones, T V Samulski.   

Abstract

Magnetic Resonance Imaging (MRI) is an attractive method of temperature monitoring in vivo due to its non-invasive nature. The natural extension of this temperature monitoring is to implement temperature control. This work outlines a method of MRI-based thermal modelling for multi-source phased array heating systems that can potentially be employed, in the future, for real time temperature prediction and control. This method is based on Pennes bioheat equation. It employs the superposition of an empirically acquired basis set of temperature distributions that define the heating system's temperature response. MR thermal images based on the proton resonance frequency shift (PRFS) technique are used to acquire this basis set. The feasibility of this approach is tested in phantom using a radiofrequency (RF) heating system. The results show that this method can accurately reproduce measured temperature distributions outside of the basis set.

Mesh:

Year:  2001        PMID: 11719964     DOI: 10.1080/02656730110068320

Source DB:  PubMed          Journal:  Int J Hyperthermia        ISSN: 0265-6736            Impact factor:   3.914


  7 in total

1.  Parallel transmission RF pulse design with strict temperature constraints.

Authors:  Cem M Deniz; Giuseppe Carluccio; Christopher Collins
Journal:  NMR Biomed       Date:  2017-02-10       Impact factor: 4.044

2.  Real-time microwave imaging of differential temperature for thermal therapy monitoring.

Authors:  Mark Haynes; John Stang; Mahta Moghaddam
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

3.  Effective learning strategies for real-time image-guided adaptive control of multiple-source hyperthermia applicators.

Authors:  Kung-Shan Cheng; Mark W Dewhirst; Paul R Stauffer; Shiva Das
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

4.  Predicting long-term temperature increase for time-dependent SAR levels with a single short-term temperature response.

Authors:  Giuseppe Carluccio; Mary Bruno; Christopher M Collins
Journal:  Magn Reson Med       Date:  2015-06-22       Impact factor: 4.668

5.  Real-time MRI-guided hyperthermia treatment using a fast adaptive algorithm.

Authors:  Vadim L Stakhursky; Omar Arabe; Kung-Shan Cheng; James Macfall; Paolo Maccarini; Oana Craciunescu; Mark Dewhirst; Paul Stauffer; Shiva K Das
Journal:  Phys Med Biol       Date:  2009-03-13       Impact factor: 3.609

6.  The performance of a reduced-order adaptive controller when used in multi-antenna hyperthermia treatments with nonlinear temperature-dependent perfusion.

Authors:  Kung-Shan Cheng; Yu Yuan; Zhen Li; Paul R Stauffer; Paolo Maccarini; William T Joines; Mark W Dewhirst; Shiva K Das
Journal:  Phys Med Biol       Date:  2009-03-05       Impact factor: 3.609

7.  Online feedback focusing algorithm for hyperthermia cancer treatment.

Authors:  Kung-Shan Cheng; Vadim Stakhursky; Paul Stauffer; Mark Dewhirst; Shiva K Das
Journal:  Int J Hyperthermia       Date:  2007-11       Impact factor: 3.914

  7 in total

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