Noninvasive Estimation of Tissue Temperature Via High-Resolution Spectral Analysis Techniques

Amini, Arash; Ebbini, E.S.; Georgiou, Tryphon T.

doi:10.1109/tbme.2004.840189

Cited by 97 publications

(19 citation statements)

References 15 publications

(46 reference statements)

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“…19,28,29 In one technique, investigators hypothesized that the sound speed and density of sub-wavelength scatterers would change when subjected to hyperthermia treatment leading to a change in the scattering cross-section of the scatterers. 29 Based on this theory, the investigators examined the changes in the backscattered energy (CBEs) versus temperature over the range of 37°C to 50°C.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Ultrasound Imaging for Monitoring In Situ High-Intensity Focused Ultrasound Exposure

et al. 2014

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Quantitative ultrasound (QUS) imaging is hypothesized to map temperature elevations induced in tissue with high spatial and temporal resolution. To test this hypothesis, QUS techniques were examined to monitor high-intensity focused ultrasound (HIFU) exposure of tissue. In situ experiments were conducted on mammary adenocarcinoma tumors grown in rats and lesions were formed using a HIFU system. A thermocouple was inserted into the tumor to provide estimates of temperature at one location. Backscattered time-domain waveforms from the tissue during exposure were recorded using a clinical ultrasonic imaging system. Backscatter coefficients were estimated using a reference phantom technique. Two parameters were estimated from the backscatter coefficient (effective scatterer diameter (ESD) and effective acoustic concentration (EAC). The changes in the average parameters in the regions corresponding to the HIFU focus over time were correlated to the temperature readings from the thermocouple. The changes in the EAC parameter were consistently correlated to temperature during both heating and cooling of the tumors. The changes in the ESD did not have a consistent trend with temperature. The mean ESD and EAC before exposure were 120 ± 16 μm and 32 ± 3 db/cm3, respectively, and changed to 144 ± 9 μm and 51 ± 7 db/cm3, respectively, just before the last HIFU pulse was delivered to the tissue. After the tissue cooled down to 37°C, the mean ESD and EAC were 126 ± 8 μm and 35 ± 4 db/cm3, respectively. Peak temperature in the range of 50–60°C was recorded by a thermocouple placed just behind the tumor. These results suggest that QUS techniques have the potential to be used for non-invasive monitoring of HIFU exposure.

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Section: Introductionmentioning

confidence: 99%

Quantitative Ultrasound Imaging for Monitoring In Situ High-Intensity Focused Ultrasound Exposure

et al. 2014

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“…The ultimate goal is to perform thermometry by developing quantitative measurements based on truly localized analysis of echo data. For this purpose, spectral analysis of the echo data could provide the answer [11]. Amini et al compared the infinitesimal echo shift model with a frequency shift model given by:

δ f_{m} \approx f_{m} false(θ_{0} false) [β false(θ_{0} false) - α false(θ_{0} false)] δ θ,

where f m is the m th harmonic of the resonance frequency associated with mean scatterer spacing in the region of interest and α, β , & θ are as in the RESF model above.…”

Section: From Thermography To Thermometrymentioning

confidence: 99%

“…The frequency shift leads to a more localized temperature change measurement. To improve the spatial resolution of this measurement, high resolution spectral estimation methods were employed (See [11] and references thereof.) We note that Equation (9) gives a sensitivity factor of ~0.05%/° (percent shift in resonance.…”

Section: From Thermography To Thermometrymentioning

confidence: 99%

Real-Time Ultrasound Thermography and Thermometry [Life Sciences]

Ebbini

Simon²,

Liu

2018

IEEE Signal Process. Mag.

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“…Research on monitoring thermal ablation using ultrasound may be divided into two groups: temperature estimation during treatment 6–8 and estimating the extent of tissue coagulation following treatment. 9–12 A variety of techniques have been applied to temperature estimation during thermal ablation therapy, including estimation of thermal strain, 8,13–16 estimation of temperature-induced changes to mean scatterer spacing (MSS), 7 sound speed, 17–19 backscatter, 20 and the estimation of the acoustic nonlinearity coefficient, 6 B/A .…”

Section: Introductionmentioning

confidence: 99%

“…26 A quasiperiodic scattering model, characterized by an MSS, has been shown to be compatible with this observation. 27 In addition to temperature, 7 MSS has been shown to be altered by cirrhosis and fibrosis of the liver. 27 Specifically, Fellingham and Sommer found an MSS of 1.07 ± 0.16 mm among 14 normal subjects versus an MSS of 1.48 ± 0.24 mm among 15 cirrhotic patients.…”

Section: Introductionmentioning

confidence: 99%

Mean Scatterer Spacing Estimation in Normal and Thermally Coagulated Ex Vivo Bovine Liver

Rubert

Varghese

2014

Ultrason Imaging

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The liver has been hypothesized to have a unique arrangement of microvasculature that presents as an arrangement of quasiperiodic scatterers to an interrogating ultrasound pulse. The mean scatterer spacing (MSS) of these quasiperiodic scatterers has been proposed as a useful quantitative ultrasound biomarker for characterizing liver tissue. Thermal ablation is an increasingly popular method for treating hepatic tumors, and ultrasonic imaging approaches for delineating the extent of thermal ablation are in high demand. In this work, we examine the distribution of estimated MSS in thermally coagulated bovine liver and normal untreated bovine liver ex vivo. We estimate MSS by detecting local maxima in the spectral coherence function of radio frequency echoes from a clinical transducer, the Siemens VFX 9L4 transducer operating on an S2000 scanner. We find that normal untreated bovine liver was characterized by an MSS of approximately 1.3 mm. We examined regions of interest 12 mm wide laterally, and ranging from 12 mm to 18 mm axially, in 2 mm increments. Over these parameters, the mode of the MSS estimates was between 1.25 and 1.37 mm. On the other hand, estimation of MSS in thermally coagulated liver tissue yields a distribution of MSS estimates whose mode varied between 0.45 and 1.0 mm when examining regions of interest over the same sizes. We demonstrate that the estimated MSS in thermally coagulated liver favors small spacings because the randomly positioned scatterers in this tissue are better modeled as aperiodic scatterers. The submillimeter spacings result from the fact that this was the most probable spacing to be estimated if the discretely sampled spectral coherence function was a uniformly random two-dimensional function.

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Noninvasive Estimation of Tissue Temperature Via High-Resolution Spectral Analysis Techniques

Cited by 97 publications

References 15 publications

Quantitative Ultrasound Imaging for Monitoring In Situ High-Intensity Focused Ultrasound Exposure

Quantitative Ultrasound Imaging for Monitoring In Situ High-Intensity Focused Ultrasound Exposure

Real-Time Ultrasound Thermography and Thermometry [Life Sciences]

Mean Scatterer Spacing Estimation in Normal and Thermally Coagulated Ex Vivo Bovine Liver

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