Literature DB >> 16147442

Non-invasive estimation of hyperthermia temperatures with ultrasound.

R M Arthur1, W L Straube, J W Trobaugh, E G Moros.   

Abstract

Ultrasound is an attractive modality for temperature monitoring because it is non-ionizing, convenient, inexpensive and has relatively simple signal processing requirements. This modality may be useful for temperature estimation if a temperature-dependent ultrasonic parameter can be identified, measured and calibrated. The most prominent methods for using ultrasound as a non-invasive thermometer exploit either (1) echo shifts due to changes in tissue thermal expansion and speed of sound (SOS), (2) variation in the attenuation coefficient or (3) change in backscattered energy from tissue inhomogeneities. The use of echo shifts has received the most attention in the last decade. By tracking scattering volumes and measuring the time shift of received echoes, investigators have been able to predict the temperature from a region of interest both theoretically and experimentally in phantoms, in isolated tissue regions in vitro and preliminary in vivo studies. A limitation of this method for general temperature monitoring is that prior knowledge of both SOS and thermal-expansion coefficients is necessary. Acoustic attenuation is dependent on temperature, but with significant changes occurring only at temperatures above 50 degrees C, which may lead to its use in thermal ablation therapies. Minimal change in attenuation, however, below this temperature range reduces its attractiveness for use in clinical hyperthermia. Models and measurements of the change in backscattered energy suggest that, over the clinical hyperthermia temperature range, changes in backscattered energy are dependent on the properties of individual scatterers or scattering regions. Calibration of the backscattered energy from different tissue regions is an important goal of this approach. All methods must be able to cope with motion of the image features on which temperature estimates are based. A crucial step in identifying a viable ultrasonic approach to temperature estimation is its performance during in vivo tests.

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Year:  2005        PMID: 16147442     DOI: 10.1080/02656730500159103

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


  27 in total

1.  Improved hyperthermia treatment control using SAR/temperature simulation and PRFS magnetic resonance thermal imaging.

Authors:  Zhen Li; Martin Vogel; Paolo F Maccarini; Vadim Stakhursky; Brian J Soher; Oana I Craciunescu; Shiva Das; Omar A Arabe; Williams T Joines; Paul R Stauffer
Journal:  Int J Hyperthermia       Date:  2010-11-11       Impact factor: 3.914

2.  A simulation model for ultrasonic temperature imaging using change in backscattered energy.

Authors:  Jason W Trobaugh; R Martin Arthur; William L Straube; Eduardo G Moros
Journal:  Ultrasound Med Biol       Date:  2007-10-23       Impact factor: 2.998

Review 3.  MR-guided focused ultrasound surgery, present and future.

Authors:  David Schlesinger; Stanley Benedict; Chris Diederich; Wladyslaw Gedroyc; Alexander Klibanov; James Larner
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

4.  Analysis of tissue changes, measurement system effects, and motion artifacts in echo decorrelation imaging.

Authors:  Fong Ming Hooi; Anna Nagle; Swetha Subramanian; T Douglas Mast
Journal:  J Acoust Soc Am       Date:  2015-02       Impact factor: 1.840

5.  Thermal strain imaging: a review.

Authors:  Chi Hyung Seo; Yan Shi; Sheng-Wen Huang; Kang Kim; Matthew O'Donnell
Journal:  Interface Focus       Date:  2011-05-23       Impact factor: 3.906

6.  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

7.  Exploring potential mechanisms responsible for observed changes of ultrasonic backscattered energy with temperature variations.

Authors:  Xin Li; Goutam Ghoshal; Roberto J Lavarello; Michael L Oelze
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

8.  Mean scatterer spacing estimation in normal and thermally coagulated ex vivo bovine liver.

Authors:  Nicholas Rubert; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2014-04       Impact factor: 1.578

9.  Motion Artifact Reduction in Ultrasound Based Thermal Strain Imaging of Atherosclerotic Plaques Using Time Series Analysis.

Authors:  Debaditya Dutta; Ahmed M Mahmoud; Steven A Leers; Kang Kim
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-08-02       Impact factor: 2.725

10.  In vivo thermal ablation monitoring using ultrasound echo decorrelation imaging.

Authors:  Swetha Subramanian; Steven M Rudich; Amel Alqadah; Chandra Priya Karunakaran; Marepalli B Rao; T Douglas Mast
Journal:  Ultrasound Med Biol       Date:  2013-11-14       Impact factor: 2.998

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