Literature DB >> 19562728

Non-invasive determination of tissue thermal parameters from high intensity focused ultrasound treatment monitored by volumetric MRI thermometry.

Iulius Dragonu1, Philippe Lourenço de Oliveira, Christophe Laurent, Charles Mougenot, Nicolas Grenier, Chrit T W Moonen, Bruno Quesson.   

Abstract

A method is proposed for estimating the perfusion rate, thermal diffusivity, and the absorption coefficient that influence the local temperature during high intensity focused ultrasound (HIFU) thermotherapy procedures. For this purpose, HIFU heating experiments (N = 100) were performed ex vivo on perfused porcine kidney (N = 5) under different flow conditions. The resulting spatio-temporal temperature variations were measured non-invasively by rapid volumetric MR-temperature imaging. The bio-heat transfer (BHT) model was adapted to describe the spatio-temporal evolution of tissue temperature in the cortex. Absorption and perfusion coefficients were determined by fitting the integrated thermal load (spatial integration of the thermal maps) curves in time with an analytical solution of the BHT equation proposed for single point HIFU heating. Thermal diffusivity was determined independently by analyzing the spatial spread of the temperature in time during the cooling period. Absorption coefficient and thermal diffusivity were found to be independent of flow, with mean and average values of 11.0 +/- 1.85 mm(3) x K x J(-1) and 0.172 +/- 0.003 mm(2) x s(-1), respectively. A linear dependence of the calculated perfusion rate with flow was observed with a slope of 9.20 +/- 0.75 mm(-3). The perfusion was found to act as a scaling term with respect to temperature but with no effect on the spatial spread of temperature which only depends on the thermal diffusivity. All results were in excellent agreement with the BHT model, indicating that this model is suitable to predict the evolution of temperature in perfused organs. This quantitative approach allows for determination of tissue thermal parameters with excellent precision (within 10%) and may thus help in quantifying the influence of perfusion during MR guided high intensity focused ultrasound (MRgHIFU). (c) 2009 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 19562728     DOI: 10.1002/nbm.1397

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  16 in total

1.  An analytical solution for improved HIFU SAR estimation.

Authors:  C R Dillon; U Vyas; A Payne; D A Christensen; R B Roemer
Journal:  Phys Med Biol       Date:  2012-06-22       Impact factor: 3.609

2.  Model predictive filtering MR thermometry: Effects of model inaccuracies, k-space reduction factor, and temperature increase rate.

Authors:  Henrik Odéen; Nick Todd; Christopher Dillon; Allison Payne; Dennis L Parker
Journal:  Magn Reson Med       Date:  2015-02-25       Impact factor: 4.668

3.  Towards MRI temperature mapping in real time-the proton resonance frequency method with undersampled radial MRI and nonlinear inverse reconstruction.

Authors:  Zhongshuai Zhang; Thomas Michaelis; Jens Frahm
Journal:  Quant Imaging Med Surg       Date:  2017-04

4.  Breath-hold MR-HIFU hyperthermia: phantom and in vivo feasibility.

Authors:  Chenchen Bing; Bingbing Cheng; Robert M Staruch; Joris Nofiele; Michelle Wodzak Staruch; Debra Szczepanski; Alan Farrow-Gillespie; Adeline Yang; Theodore W Laetsch; Rajiv Chopra
Journal:  Int J Hyperthermia       Date:  2019       Impact factor: 3.914

5.  Magnetic resonance temperature imaging-based quantification of blood flow-related energy losses.

Authors:  Christopher Dillon; Robert Roemer; Allison Payne
Journal:  NMR Biomed       Date:  2015-05-14       Impact factor: 4.044

6.  Porcine ex vivo liver phantom for dynamic contrast-enhanced computed tomography: development and initial results.

Authors:  Scott M Thompson; Juan C Ramirez-Giraldo; Bruce Knudsen; Joseph P Grande; Jodie A Christner; Man Xu; David A Woodrum; Cynthia H McCollough; Matthew R Callstrom
Journal:  Invest Radiol       Date:  2011-09       Impact factor: 6.016

Review 7.  Image-guided thermal ablation with MR-based thermometry.

Authors:  Mingming Zhu; Ziqi Sun; Chin K Ng
Journal:  Quant Imaging Med Surg       Date:  2017-06

8.  Reduction of peak acoustic pressure and shaping of heated region by use of multifoci sonications in MR-guided high-intensity focused ultrasound mediated mild hyperthermia.

Authors:  Ari Partanen; Matti Tillander; Pavel S Yarmolenko; Bradford J Wood; Matthew R Dreher; Max O Kohler
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

9.  Development and validation of a MRgHIFU non-invasive tissue acoustic property estimation technique.

Authors:  Sara L Johnson; Christopher Dillon; Henrik Odéen; Dennis Parker; Douglas Christensen; Allison Payne
Journal:  Int J Hyperthermia       Date:  2016-08-08       Impact factor: 3.914

10.  Analytical estimation of ultrasound properties, thermal diffusivity, and perfusion using magnetic resonance-guided focused ultrasound temperature data.

Authors:  C R Dillon; G Borasi; A Payne
Journal:  Phys Med Biol       Date:  2016-01-07       Impact factor: 3.609

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