Noninvasive Temperature Estimation Using Sonographic Digital Images

Abolhassani, Mohammad; Norouzy, Ahmad; Takavar, Abbas; Ghanaati, Hosein

doi:10.7863/jum.2007.26.2.215

Cited by 41 publications

(26 citation statements)

References 20 publications

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“…Adolhassani and colleagues reported that isotropic speckle-tracking kernels from 2 mm to 4 mm had similar performance when maximum normalization cross-correlation was applied to B-mode images (75). In later work, Mehrabani et al utilized the Horn-Shunck method for visualizing optical flow to estimate the speckle displacement (76).…”

Section: Specific Strategies For Ultrasound Thermometry and Ablatimentioning

confidence: 99%

Thermometry and ablation monitoring with ultrasound

Lewis

Staruch

Chopra

2015

International Journal of Hyperthermia

150

102

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Section: Specific Strategies For Ultrasound Thermometry and Ablatimentioning

confidence: 99%

Thermometry and ablation monitoring with ultrasound

Lewis

Staruch

Chopra

2015

International Journal of Hyperthermia

150

102

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“…For a therapeutic beam with a depth of focus on the order of 1–2 mm, unpredictable expansion and displacement of the acoustic focus would be significant. Moreover, while sound speed decreases in fat with increasing temperature, sound speed increases with temperature in most other tissues [16], [24]. Therefore, previous ultrasonic thermometry studies have created temperature maps by assuming a homogenous tissue and constant sound speed [14], [25].…”

Section: Discussionmentioning

confidence: 99%

An Open Environment CT-US Fusion for Tissue Segmentation during Interventional Guidance

et al. 2011

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Therapeutic ultrasound (US) can be noninvasively focused to activate drugs, ablate tumors and deliver drugs beyond the blood brain barrier. However, well-controlled guidance of US therapy requires fusion with a navigational modality, such as magnetic resonance imaging (MRI) or X-ray computed tomography (CT). Here, we developed and validated tissue characterization using a fusion between US and CT. The performance of the CT/US fusion was quantified by the calibration error, target registration error and fiducial registration error. Met-1 tumors in the fat pads of 12 female FVB mice provided a model of developing breast cancer with which to evaluate CT-based tissue segmentation. Hounsfield units (HU) within the tumor and surrounding fat pad were quantified, validated with histology and segmented for parametric analysis (fat: −300 to 0 HU, protein-rich: 1 to 300 HU, and bone: HU>300). Our open source CT/US fusion system differentiated soft tissue, bone and fat with a spatial accuracy of ∼1 mm. Region of interest (ROI) analysis of the tumor and surrounding fat pad using a 1 mm2 ROI resulted in mean HU of 68±44 within the tumor and −97±52 within the fat pad adjacent to the tumor (p<0.005). The tumor area measured by CT and histology was correlated (r2 = 0.92), while the area designated as fat decreased with increasing tumor size (r2 = 0.51). Analysis of CT and histology images of the tumor and surrounding fat pad revealed an average percentage of fat of 65.3% vs. 75.2%, 36.5% vs. 48.4%, and 31.6% vs. 38.5% for tumors <75 mm3, 75–150 mm3 and >150 mm3, respectively. Further, CT mapped bone-soft tissue interfaces near the acoustic beam during real-time imaging. Combined CT/US is a feasible method for guiding interventions by tracking the acoustic focus within a pre-acquired CT image volume and characterizing tissues proximal to and surrounding the acoustic focus.

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“…Many previous techniques [13][14][15][16][17][18][19] rely on a beam-formed amplitude contrast image and correlation methods to determine the temperature change. These techniques can be easily corrupted by speckle noise, an effect which does not directly represent a physical feature in the region of interest.…”

Section: Discussionmentioning

confidence: 99%

“…Under this assumption, an increase in temperature will shift the image, and by comparing the apparent spatial shift with an initial ͑un-heated͒ image, the sound speed change can be determined. [13][14][15][16][17][18][19] A second phenomenon which will occur is thermal expansion, which results in a physical shift in the tissue. 9,[11][12][13]19 Seip and Ebbini 10 used the spectrum of the measured backscattered rf signal to track heating.…”

Section: Introductionmentioning

confidence: 99%

“…Two-dimensional lowpass filtering reduced the ripples but reduced spatial resolution as well. A number of other groups [14][15][16][17] have successfully applied similar approaches, but primarily only in in vitro samples experiencing low ͑Ͻ10°C͒ temperature rises. Varghese et al 18,19 showed success in measuring temperature change for in vitro and in vivo tissue samples for temperature elevations up to 100°C from rf ablation therapy.…”

Section: Introductionmentioning

confidence: 99%

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Feasibility of ultrasound phase contrast for heating localization

Farny

Clement

2008

The Journal of the Acoustical Society of America

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Ultrasound-based methods for temperature monitoring could greatly assist focused ultrasound visualization and treatment planning based on sound speed-induced change in phase as a function of temperature. A method is presented that uses reflex transmission integration, planar projection, and tomographic reconstruction techniques to visualize phase contrast by measuring the sound field before and after heat deposition. Results from experiments and numerical simulations employing a through-transmission setup are presented to demonstrate feasibility of using phase contrast methods for identifying temperature change. A 1.088-MHz focused transducer was used to interrogate a medium with a phase contrast feature, following measurement of the baseline reference field with a hydrophone. A thermal plume in water and a tissue phantom with multiple water columns was used in separate experiments to produce a phase contrast. The reference and phase contrast field scans were numerically backprojected and the phase difference correctly identified the position and orientation of the features. The peak temperature reconstructed from the phase shift was within 0.2 degrees C of the measured temperature in the plume. Simulated results were in good agreement with experimental results. Finally, employment of reflex transmission imaging techniques for adopting a pulse-echo arrangement was simulated, and its future experimental application is discussed.

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Noninvasive Temperature Estimation Using Sonographic Digital Images

Cited by 41 publications

References 20 publications

Thermometry and ablation monitoring with ultrasound

Thermometry and ablation monitoring with ultrasound

An Open Environment CT-US Fusion for Tissue Segmentation during Interventional Guidance

Feasibility of ultrasound phase contrast for heating localization

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