Thermal strain imaging: a review

Seo, Chi Hyung; Shi, Yan; Huang, Sheng Wen; Kim, Kang; O’Donnell, Matthew

doi:10.1098/rsfs.2011.0010

Cited by 67 publications

(73 citation statements)

References 115 publications

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“…The temperature dependence of the ultrasound echo is caused by thermal expansion of the propagating medium and variation of sound speed due to changes in temperature. By considering the sound speed variations, tissue temperature maps prior to coagulation are obtained [31][32][33]. However, real-time lesion size assessment during coagulation is a less investigated area.…”

Section: Introductionmentioning

confidence: 99%

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Thermal expansion imaging for monitoring lesion depth using M-mode ultrasound during cardiac RF ablation: in vitro study

et al. 2015

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TEI successfully tracks LD in in vitro experiments based on a single US transducer and is robust to catheter/tissue contact, ablation time and even tissue heterogeneity. The presence of a TEB suggests thermal expansion as the main strain mechanism during coagulation, accompanied by compression of the adjacent non-ablated tissue. The isolation of thermally induced displacements from in vivo motion is a matter of future research. TEI is potentially applicable to other treatments such as percutaneous RFA of liver and high-intensity focused ultrasound.

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Section: Introductionmentioning

confidence: 99%

“…Thermal strain imaging (TSI) tracks strain changes in the tissue structure as a result of temperature changes [31]. The temperature dependence of the ultrasound echo is caused by thermal expansion of the propagating medium and variation of sound speed due to changes in temperature.…”

Section: Introductionmentioning

confidence: 99%

Thermal expansion imaging for monitoring lesion depth using M-mode ultrasound during cardiac RF ablation: in vitro study

et al. 2015

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“…If a reference image is compared to an image taken after inducing a small temperature change (≤2°C), water-based tissues appear to shift towards the transducer and vice-versa for lipid-based tissues. For temperature changes in this range, thermally induced mechanical expansion can be ignored and the shift between the reference and post-heating images can be considered to be solely the result of the temperature dependence of the speed of sound [4]. The derivative of this apparent displacement (“thermal strain”) can be used to differentiate between water and lipid-based tissues [8].…”

Section: Introductionmentioning

confidence: 99%

“…The derivative of this apparent displacement (“thermal strain”) can be used to differentiate between water and lipid-based tissues [8]. TSI-based detection of lipids has a number of potential medical applications including the identification of lipid pools in atherosclerotic plaques to assess plaque vulnerability [4], [9]. …”

Section: Introductionmentioning

confidence: 99%

An adaptive displacement estimation algorithm for improved reconstruction of thermal strain

Ding

Dutta

Mahmoud

et al. 2015

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Thermal strain imaging (TSI) can be used to differentiate between lipid and water-based tissues in atherosclerotic arteries. However, detecting small lipid pools in vivo requires accurate and robust displacement estimation over a wide range of displacement magnitudes. Phase-shift estimators such as Loupas’ estimator and time-shift estimators like normalized cross-correlation (NXcorr) are commonly used to track tissue displacements. However, Loupas’ estimator is limited by phase-wrapping and NXcorr performs poorly when the signal-to-noise ratio (SNR) is low. In this paper, we present an adaptive displacement estimation algorithm that combines both Loupas’ estimator and NXcorr. We evaluated this algorithm using computer simulations and an ex-vivo human tissue sample. Using 1-D simulation studies, we showed that when the displacement magnitude induced by thermal strain was >λ/8 and the electronic system SNR was >25.5 dB, the NXcorr displacement estimate was less biased than the estimate found using Loupas’ estimator. On the other hand, when the displacement magnitude was ≤λ/4 and the electronic system SNR was ≤25.5 dB, Loupas’ estimator had less variance than NXcorr. We used these findings to design an adaptive displacement estimation algorithm. Computer simulations of TSI using Field II showed that the adaptive displacement estimator was less biased than either Loupas’ estimator or NXcorr. Strain reconstructed from the adaptive displacement estimates improved the strain SNR by 43.7–350% and the spatial accuracy by 1.2–23.0% (p < 0.001). An ex-vivo human tissue study provided results that were comparable to computer simulations. The results of this study showed that a novel displacement estimation algorithm, which combines two different displacement estimators, yielded improved displacement estimation and results in improved strain reconstruction.

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“…The second category consists of papers on technologies that are just now beginning to impact upon clinical practice: real-time quasi-static ultrasound elastography [12], acoustic radiation force-based elasticity imaging [13] and ultrasonic image analysis and image-guided interventions [14]. The third category consists of papers that discuss contemporary research, which is either not directly concerned with clinical studies (micro-ultrasound for preclinical imaging [15]), or which, although promising, is still seen as being some time away from having an impact: biomedical photoacoustic imaging [16], ultrasound-mediated optical tomography [17], continuous wave ultrasonic Doppler tomography [18] and thermal strain imaging [19]. Since the perceived safety of ultrasonic imaging is often cited as being one of its advantages over most other modalities, there is a paper in the final category that puts this into perspective: ultrasonic imaging: safety considerations [20].…”

Section: Introductionmentioning

confidence: 99%

Recent advances in biomedical ultrasonic imaging techniques

2011

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Nowadays in the UK, more than one quarter of all clinical imaging procedures use ultrasound and the number of ultrasonic scans that are performed each year exceeds all of those done by X-ray computed tomography, magnetic resonance imaging and radionuclide scanning combined [1]. Doubtless, the situation is similar in the rest of the world, but with ultrasound being even more used in lessdeveloped countries, because of its relatively low cost. Diagnostic ultrasound has come into its ascendency over the last 60 years, mutating from a laboratory curiosity being developed and promoted by very few innovative engineers and visionary clinicians (for instance, in the USA [2], in Japan (see [3]), in Sweden [4] and in the UK [5]) into an indispensible tool in modern routine clinical practice.Each of the wide range of different imaging modalities has its own individual characteristics. Usually in practice, the choice of the optimal modality is fairly obvious, because it depends on the clinical problem being investigated. Thus, for example, an X-ray is appropriate if a fracture is suspected, because X-rays are good at imaging bones. Likewise, for the management of cancer, positron emission tomography-a type of radionuclide scanning-can be invaluable because of its ability to visualize malignant tissue. The relative advantage of any particular modality lies essentially in the mechanism of the contrast in the images which it produces. In this respect, ultrasonic imaging is rather versatile. Primarily, the image contrast depends on differences in densities and speeds of sound, because these properties determine the scattering and reflectivity of tissue. In addition, flow, motion, strain and elasticity can be estimated ultrasonically and used to produce parametric images, for example, by colour maps superimposed on images of scattering and reflectivity. Moreover, ultrasonic imaging is fast and apparently safe, as well as being well liked by patients. Thus, the technology is particularly valuable in clinical practice in obstetrics and gynaecology, internal medicine, genitourinary studies, cardiology, vascular studies, dermatology and breast disease, but it is not of much use in the investigation of gas-containing or bony structures.Ultrasonic imaging is a mature medical technology, the evolution of which has been the result of many years of biomedical engineering and clinical research. Moreover, the level of contemporary research activity is great and it covers a vast range of emerging opportunities. Very many ultrasound papers appear in medical journals devoted to the various clinical specialties and these generally report on the expansion of the diagnostic horizons, which results from novel applications and observations with existingalbeit often new-technologies. In organizing this Theme Issue of Interface Focus, however, we sought to compile papers that would be representative of advances in the technologies themselves, sometimes even before their clinical potentials have been explored. Of course, our intention certainly was ...

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Thermal strain imaging: a review

Cited by 67 publications

References 115 publications

Thermal expansion imaging for monitoring lesion depth using M-mode ultrasound during cardiac RF ablation: in vitro study

Thermal expansion imaging for monitoring lesion depth using M-mode ultrasound during cardiac RF ablation: in vitro study

An adaptive displacement estimation algorithm for improved reconstruction of thermal strain

Recent advances in biomedical ultrasonic imaging techniques

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