Готові списки джерел за темами / Biomedical Ultrasound Imaging

Добірка наукової літератури з теми "Biomedical Ultrasound Imaging"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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Статті в журналах з теми "Biomedical Ultrasound Imaging"

Everbach, E. Carr. "Diagnostic imaging in biomedical ultrasound." Journal of the Acoustical Society of America 118, no. 3 (September 2005): 1877. http://dx.doi.org/10.1121/1.4779345.

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Tanter, Mickael, and Mathias Fink. "Ultrafast imaging in biomedical ultrasound." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 61, no. 1 (January 2014): 102–19. http://dx.doi.org/10.1109/tuffc.2014.2882.

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Beard, Paul. "Biomedical photoacoustic imaging." Interface Focus 1, no. 4 (June 22, 2011): 602–31. http://dx.doi.org/10.1098/rsfs.2011.0028.

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Photoacoustic (PA) imaging, also called optoacoustic imaging, is a new biomedical imaging modality based on the use of laser-generated ultrasound that has emerged over the last decade. It is a hybrid modality, combining the high-contrast and spectroscopic-based specificity of optical imaging with the high spatial resolution of ultrasound imaging. In essence, a PA image can be regarded as an ultrasound image in which the contrast depends not on the mechanical and elastic properties of the tissue, but its optical properties, specifically optical absorption. As a consequence, it offers greater specificity than conventional ultrasound imaging with the ability to detect haemoglobin, lipids, water and other light-absorbing chomophores, but with greater penetration depth than purely optical imaging modalities that rely on ballistic photons. As well as visualizing anatomical structures such as the microvasculature, it can also provide functional information in the form of blood oxygenation, blood flow and temperature. All of this can be achieved over a wide range of length scales from micrometres to centimetres with scalable spatial resolution. These attributes lend PA imaging to a wide variety of applications in clinical medicine, preclinical research and basic biology for studying cancer, cardiovascular disease, abnormalities of the microcirculation and other conditions. With the emergence of a variety of truly compelling in vivo images obtained by a number of groups around the world in the last 2–3 years, the technique has come of age and the promise of PA imaging is now beginning to be realized. Recent highlights include the demonstration of whole-body small-animal imaging, the first demonstrations of molecular imaging, the introduction of new microscopy modes and the first steps towards clinical breast imaging being taken as well as a myriad of in vivo preclinical imaging studies. In this article, the underlying physical principles of the technique, its practical implementation, and a range of clinical and preclinical applications are reviewed.

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Saijo, Yoshifumi. "Multimodal ultrasound microscopy for biomedical imaging." Journal of the Acoustical Society of America 133, no. 5 (May 2013): 3260. http://dx.doi.org/10.1121/1.4805268.

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Mast, T. Douglas. "Emerging imaging methods in biomedical ultrasound." Journal of the Acoustical Society of America 145, no. 3 (March 2019): 1812. http://dx.doi.org/10.1121/1.5101629.

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Mamou, J., M. L. Oelze, W. D. O'Brien, and J. F. Zachary. "Perspective on biomedical quantitative ultrasound imaging." IEEE Signal Processing Magazine 23, no. 3 (May 2006): 112–16. http://dx.doi.org/10.1109/msp.2006.1628885.

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Weissleder, Ralph, and Matthias Nahrendorf. "Advancing biomedical imaging." Proceedings of the National Academy of Sciences 112, no. 47 (November 24, 2015): 14424–28. http://dx.doi.org/10.1073/pnas.1508524112.

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Imaging reveals complex structures and dynamic interactive processes, located deep inside the body, that are otherwise difficult to decipher. Numerous imaging modalities harness every last inch of the energy spectrum. Clinical modalities include magnetic resonance imaging (MRI), X-ray computed tomography (CT), ultrasound, and light-based methods [endoscopy and optical coherence tomography (OCT)]. Research modalities include various light microscopy techniques (confocal, multiphoton, total internal reflection, superresolution fluorescence microscopy), electron microscopy, mass spectrometry imaging, fluorescence tomography, bioluminescence, variations of OCT, and optoacoustic imaging, among a few others. Although clinical imaging and research microscopy are often isolated from one another, we argue that their combination and integration is not only informative but also essential to discovering new biology and interpreting clinical datasets in which signals invariably originate from hundreds to thousands of cells per voxel.

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Rousseau, Guy, Bruno Gauthier, Alain Blouin, and Jean-Pierre Monchalin. "Non-contact biomedical photoacoustic and ultrasound imaging." Journal of Biomedical Optics 17, no. 6 (2012): 061217. http://dx.doi.org/10.1117/1.jbo.17.6.061217.

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Peng, Chang, Qianqian Cai, Mengyue Chen, and Xiaoning Jiang. "Recent Advances in Tracking Devices for Biomedical Ultrasound Imaging Applications." Micromachines 13, no. 11 (October 29, 2022): 1855. http://dx.doi.org/10.3390/mi13111855.

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With the rapid advancement of tracking technologies, the applications of tracking systems in ultrasound imaging have expanded across a wide range of fields. In this review article, we discuss the basic tracking principles, system components, performance analyses, as well as the main sources of error for popular tracking technologies that are utilized in ultrasound imaging. In light of the growing demand for object tracking, this article explores both the potential and challenges associated with different tracking technologies applied to various ultrasound imaging applications, including freehand 3D ultrasound imaging, ultrasound image fusion, ultrasound-guided intervention and treatment. Recent development in tracking technology has led to increased accuracy and intuitiveness of ultrasound imaging and navigation with less reliance on operator skills, thereby benefiting the medical diagnosis and treatment. Although commercially available tracking systems are capable of achieving sub-millimeter resolution for positional tracking and sub-degree resolution for orientational tracking, such systems are subject to a number of disadvantages, including high costs and time-consuming calibration procedures. While some emerging tracking technologies are still in the research stage, their potentials have been demonstrated in terms of the compactness, light weight, and easy integration with existing standard or portable ultrasound machines.

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Дисертації з теми "Biomedical Ultrasound Imaging"

Wang, Zhaohui. "Biomedical Applications of Acoustoelectric Effect." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/204330.

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Acousto-electric (AE) effect comes from an interaction between electrical current and acoustic pressure generated when acoustic waves travel through a conducting material. It currently has two main application areas, ultrasound current source density imaging (UCSDI) and AE hydrophone. UCSDI can detect the current direction by modulating the dipole field with ultrasound pulse, and it is now used to form 3D imaging of dipole changing in one period of treatment, such as arrhythmia in the heart and epilepsy in the brain. As ultrasound pulse passes through electrical field, it convolutes or correlates with the inner product of the electric fields formed by the dipole and detector. The polarity of UCSDI is not determined by Doppler effect that exists in pulse echo (PE) signal, but the gradient of lead field potentials created by dipole and recording electrode, making the base-banded AE voltage positive at the anode and negative at cathode. As convolution shifts spectrum lower, the base band frequency for polarity is different from the center frequency of AE signal. The simulation uses the principles of UCSDI, and helps to understand the phenomena in the experiment. 3-D Fast Fourier Transform accelerates the computing velocity to resolve the correlation in the simulation of AE signal. Most single element hydrophones depend on a piezoelectric material that converts pressure changes to electricity. These devices, however, can be expensive, susceptible to damage at high pressure, and/or have limited bandwidth and sensitivity. An AE hydrophone requires only a conductive material and can be constructed out of common laboratory supplies to generate images of an ultrasound beam pattern consistent with more expensive hydrophones. Its sensitivity is controlled by the injected bias current, hydrophone shape, thickness and width of sensitivity zone. The design of this device needs to be the tradeoff of these parameters. Simulations were made to optimize the design with experimental validation using specifically fabricated devices composed of a resistive element of indium tin oxide (ITO).

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Chuang, Brian. "Ultrasound parametric imaging and image analysis for breast cancer characterisation and treatment monitoring." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:aa12f720-f3c6-4e55-83c0-f063ea0ed7e2.

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Breast cancer research based on medical ultrasound has traditionally focused on providing early diagnosis and breast cancer classification/characterisation. However, with the advances in cancer therapy treatments and innovations in cancer drug developments, developing methods for treatment monitoring is becoming ever more important. In particular fibrotic change in breast cancer is a common after-effect that accompanies successful breast cancer chemotherapy treatment where breast tumour cells are eradicated and replaced by fibrous tissue. As a result, the ability to monitor fibrotic changes can be used to indicate the effectiveness of chemotherapy treatments. Ultrasound spectral parametric imaging is a method that looks at the information embedded in the frequency/spectral domain of ultrasound RF signals and can be used to characterise tissue ultrasound backscattering properties. In this thesis ultrasound spectral parametric imaging is first applied to characterise breast fibrosis and its efficacy for monitoring breast cancer neoadjuvant chemotherapy treatment is subsequently investigated in a pilot study. The pilot study suggests that an increase in ultrasound spectral intercept is able to indicate fibrotic changes before and after treatments. These encouraging results suggest further work is considered to determine the suitability for monitoring intermediate changes. As histopathology images are considered as the gold standard in breast cancer pathology, ultrasound parametric images need to be studied and compared against histopathology so information provided in ultrasound parametric images can be better understood. A new registration method is shown to improve the alignment of ultrasound parametric images and histopathology images that facilitates the comparison between the images. The registration method is based on the coherent point drift (CPD) algorithm and the thin plate spline (TPS) method. All of the results show that ultrasound spectral parametric imaging is a promising tool for providing further understanding of breast cancer changes during therapy, which in turn will lead to improved breast cancer treatment monitoring and planning.

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Eljaaidi, Abdalla Agila. "2D & 3D ultrasound systems in development of medical imaging technology." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2193.

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Thesis (MTech (Electrical Engineering))--Cape Peninsula University of Technology, 2016.
Ultrasound is widely used in most medical clinics, especially obstetrical clinics. It is a way of imaging methods that has important diagnostic value. Although useful in many different applications, diagnostic ultrasound is especially useful in antenatal (before delivery) diagnosis. The use of two-dimensional ultrasound (2DUS) in obstetrics has been established. However, there are many disadvantages of 2DUS imaging. Several researchers have published information on the significance of patients being shown the ultrasound screen during examination, especially during three- and four-dimensional (3D/4D) scanning. In addition, a form of ultrasound, called keepsake or entertainment ultrasound, has boomed, particularly in the United States. However, long-term epidemiological studies have failed to show the adverse effects of ultrasound in human tissues. Until now, there is no proof that diagnostic ultrasound causes harm in a human body or the developing foetus when used correctly. While ultrasound is supposed to be absolutely safe, it is a form of energy and, as such, has effects on tissues it traverses (bio-effects). The two most important mechanisms for effects are thermal and non-thermal. These two mechanisms are indicated on the screen of ultrasound devices by two indices: The thermal index (TI) and the mechanical index (MI). These are the purposes of this thesis: • evaluate end-users’ knowledge regarding the safety of ultrasound; • evaluate and make a comparison between acoustic output indices (AOI) in B-mode (2D) and three-dimensional (3D) ultrasound – those measured by thermal (TI) and mechanical (MI) indices; • assess the acoustic output indices (AOI) to benchmark current practice with a survey conducted by the British Medical Ultrasound Society (BMUS); and • review how to design 2D and 3D arrays for medical ultrasound imaging

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Lai, Puxiang. "PHOTOREFRACTIVE CRYSTAL-BASED ACOUSTO-OPTIC IMAGING IN THE NEAR-INFRARED AND ITS APPLICATIONS." Thesis, Boston University, 2010. https://hdl.handle.net/2144/1378.

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Acousto-optic (AO) sensing and imaging (AOI) is a dual-wave modality that combines ultrasound with diffusive light to measure and/or image the optical properties of optically diffusive media, including biological tissues such as breast and brain. The light passing through a focused ultrasound beam undergoes a phase modulation at the ultrasound frequency that is detected using an adaptive interferometer scheme employing a GaAs photorefractive crystal (PRC). The PRC-based AO system operating at 1064 nm is described, along with the underlying theory, validating experiments, characterization, and optimization of this sensing and imaging apparatus. The spatial resolution of AO sensing, which is determined by spatial dimensions of the ultrasound beam or pulse, can be sub-millimeter for megahertz-frequency sound waves.A modified approach for quantifying the optical properties of diffuse media with AO sensing employs the ratio of AO signals generated at two different ultrasound focal pressures. The resulting “pressure contrast signal” (PCS), once calibrated for a particular set of pressure pulses, yields a direct measure of the spatially averaged optical transport attenuation coefficient within the interaction volume between light and sound. This is a significant improvement over current AO sensing methods since it produces a quantitative measure of the optical properties of optically diffuse media without a priori knowledge of the background illumination. It can also be used to generate images based on spatial variations in both optical scattering and absorption. Finally, the AO sensing system is modified to monitor the irreversible optical changes associated with the tissue heating from high intensity focused ultrasound (HIFU) therapy, providing a powerful method for noninvasively sensing the onset and growth of thermal lesions in soft tissues. A single HIFU transducer is used to simultaneously generate tissue damage and pump the AO interaction. Experimental results performed in excised chicken breast demonstrate that AO sensing can identify the onset and growth of lesion formation in real time and, when used as feedback to guide exposure parameters, results in more predictable lesion formation.
Bernard M. Gordon Center for Subsurface and Imaging Systems (CenSSIS) via the NSF ERC award number EEC-9986821.

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Malcolm, Alison Louise. "An investigation into ultrasonic methods of imaging the tissue ablation induced during focused ultrasound surgery." Thesis, Institute of Cancer Research (University Of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267923.

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von, Lavante Etienne. "Segmentation and sizing of breast cancer masses with ultrasound elasticity imaging." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:81225f61-6b83-405b-aed5-17b316ed586a.

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Uncertainty in the sizing of breast cancer masses is a major issue in breast screening programs, as there is a tendency to severely underestimate the sizing of malignant masses, especially with ultrasound imaging as part of the standard triple assessment. Due to this issue about 20% of all surgically treated women have to undergo a second resection, therefore the aim of this thesis is to address this issue by developing novel image analysis methods. Ultrasound elasticity imaging has been proven to have a better ability to differentiate soft tissues compared to standard B-mode. Thus a novel segmentation algorithm is presented, employing elasticity imaging to improve the sizing of malignant breast masses in ultrasound. The main contributions of this work are the introduction of a novel filtering technique to significantly improve the quality of the B-mode image, the development of a segmentation algorithm and their application to an ongoing clinical trial. Due to the limitations of the employed ultrasound device, the development of a method to improve the contrast and signal to noise ratio of B-mode images was required. Thus, an autoregressive model based filter on the radio-frequency signal is presented which is able to reduce the misclassification error on a phantom by up to 90% compared to the employed device, achieving similar results to a state-of-the art ultrasound system. By combining the output of this filter with elasticity data into a region based segmentation framework, a computationally highly efficient segmentation algorithm using Graph-cuts is presented. This method is shown to successfully and reliably segment objects on which previous highly cited methods have failed. Employing this method on 18 cases from a clinical trial, it is shown that the mean absolute error is reduced by 2 mm, and the bias of the B-Mode sizing to underestimate the size was overcome. Furthermore, the ability to detect widespread DCIS is demonstrated.

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Solorio, Luis Jr. "Application of Ultrasound Imaging for Noninvasive Characterization of Phase Inverting Implants." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1332258338.

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Rademeyer, Paul. "A new technique for microbubble characterisation and the implications to contrast enhanced ultrasound." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:2f5b0002-83e0-4251-b69a-de78c9895277.

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The utility of microbubble agents in a variety of diagnostic and therapeutic ultrasound techniques has been widely demonstrated, most notably in Contrast Enhanced Ultrasound (CEUS) imaging. Unfortunately, the underlying mechanisms of their response to ultrasound excitation are poorly understood, restricting the development of promising techniques, such as quantitative perfusion imaging. A significant reason for this is that current microbubble characterisation techniques suffer from one or more of the following limitations: i) large experimental uncertainties, ii) physical restrictions on microbubble response and iii) failure to provide large data sets suitable for statistical analysis. This thesis presents a new technique to overcome these limitations. A co-axial microfluidic device is used to hydrodynamically confine microbubbles through the focal region of a laser and ultrasound field. The magnitude of light scattered by isolated microbubbles during ultrasound excitation is converted to radius using Mie Scattering theory. This technique is capable of obtaining large samples (>10³/min) of microbubbles to be efficiently characterised. The response of a commercial contrast agent, SonoVue®, is first investigated for a range of ultrasound exposure parameters; frequency (2 MHz - 4.5 MHz), peak negative pressure (6 kPa - 400 kPa) and pulse length (3 cycles - 8 cycles). Second the device is used to investigate the effect of composition and fabrication on microbubble response to similar ultrasound conditions. The results demonstrate a very large variability in microbubble response independent of initial size, indicating a significant lack of uniformity of coating properties. This is further supported by quantitative fluorescence imaging and quasi-static pressure chamber measurements. The implications of the findings for CEUS imaging and the development of microbubble contrast agents are discussed, as well as the limitations and suggested improvements of the characterisation technique.

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Devaraju, Vadivel Lewin Peter A. "Design, development and characterization of wideband polymer ultrasonic probes for medical ultrasound applications /." Philadelphia : Drexel University, 2003. http://dspace.library.drexel.edu/handle/1721.1/95.

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Salgaonkar, Vasant Anil. "Passive Imaging and Measurements of Acoustic Cavitation during Ultrasound Ablation." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1259075197.

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Книги з теми "Biomedical Ultrasound Imaging"

Cobbold, Richard S. C. Foundations of biomedical ultrasound. Oxford: Oxford University Press, 2007.

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Foundations of biomedical ultrasound. New York: Oxford University Press, 2006.

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service), SpringerLink (Online, ed. Mathematical Modeling in Biomedical Imaging II: Optical, Ultrasound, and Opto-Acoustic Tomographies. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2012.

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Paradossi, Gaio. Ultrasound Contrast Agents: Targeting and Processing Methods for Theranostics. Milano: Springer-Verlag Milan, 2010.

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Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics (9th 2008 San Jose, Calif.). Photons plus ultrasound: Imaging and sensing 2008 : the Ninth Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics : 20-23 January 2008, San Jose, California, USA. Edited by Oraevsky Alexander A, Wang Lihong V, SPIE (Society), and Fairway Medical Technologies Inc. Bellingham, Wash: SPIE, 2008.

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Meire, Hylton B. Basic ultrasound. Chichester: Wiley & Sons, 1995.

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Diagnostic Ultrasound Imaging: Inside Out (Biomedical Engineering). Academic Press, 2004.

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Szabo, Thomas. Diagnostic Ultrasound Imaging: Inside Out (Biomedical Engineering). Academic Press, 2004.

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Aylward, Stephen, Shuo Li, Gabor Fichtinger, Tal Arbel, M. Jorge Cardoso, João Manuel R.S. Tavares, Emad Boctor, Kevin Cleary, and Bradley Freeman. Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. Springer, 2017.

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Частини книг з теми "Biomedical Ultrasound Imaging"

Scalettar, Bethe A., James R. Abney, and Cyan Cowap. "Ultrasound." In Introductory Biomedical Imaging, 183–210. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b22076-12.

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D’hooge, Jan. "Cardiac 4D Ultrasound Imaging." In Biomedical Image Processing, 81–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15816-2_3.

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Carrascal, Carolina Amador. "Viscoelastic Creep Imaging." In Ultrasound Elastography for Biomedical Applications and Medicine, 171–88. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119021520.ch13.

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Parker, Kevin J. "Dynamic Elasticity Imaging." In Ultrasound Elastography for Biomedical Applications and Medicine, 227–37. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119021520.ch15.

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Konofagou, Elisa. "Harmonic Motion Imaging." In Ultrasound Elastography for Biomedical Applications and Medicine, 264–83. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119021520.ch18.

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Gennisson, Jean-Luc, and Mickael Tanter. "Supersonic Shear Imaging." In Ultrasound Elastography for Biomedical Applications and Medicine, 357–67. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119021520.ch23.

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Golemati, S., J. Stoitsis, and K. S. Nikita. "Potential carotid atherosclerosis biomarkers based on ultrasound image analysis." In Handbook of Biomedical Imaging, 501–11. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-0-387-09749-7_28.

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Hori, M., T. Masuyama, K. Baba, O. Ohshiro, K. Ishihara, and H. Kondo. "Imaging of Tissue/Organs with Ultrasound." In Biological and Medical Physics, Biomedical Engineering, 69–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06081-0_2.

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Lavarello, Roberto, and Michael L. Oelze. "Theory of Ultrasound Physics and Imaging." In Ultrasound Elastography for Biomedical Applications and Medicine, 7–28. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119021520.ch2.

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Heyde, Brecht, Oana Mirea, and Jan D'hooge. "Cardiac Strain and Strain Rate Imaging." In Ultrasound Elastography for Biomedical Applications and Medicine, 143–60. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119021520.ch11.

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Тези доповідей конференцій з теми "Biomedical Ultrasound Imaging"

Saijo, Yoshifumi. "Multimodal ultrasound microscopy for biomedical imaging." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4800342.

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Wang, Zhuochen, Sibo Li, Ruibin Liu, Xuecang Geng, and Xiaoning Jiang. "A Bi-Frequency Co-Linear Array Transducer for Biomedical Ultrasound Imaging." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38871.

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Ultrasound imaging with high resolution and large field of depth has been increasingly adopted in medical diagnosis, surgery guidance and treatment assessment because of its relatively low cost, non-invasive and capability of real-time imaging. There is always a tradeoff between the resolution and depth of field in ultrasound imaging. Conventional ultrasound works at a particular frequency, with −6 dB fractional bandwidth of < 100%, limiting the resolution or field of depth in many ultrasound imaging cases. In this paper, a bi-frequency co-linear array covering a frequency range of 5 MHz-20 MHz was investigated to meet the requirements of resolution and depth of field for a broad range of ultrasound imaging applications. As a demonstration, a 31-element bi-frequency co-linear array was designed and fabricated, followed by element characterization and real time sectorial scan (S-scan) phantom imaging using a Verasonics system.

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Emelianov, Stanislav Y., Salavat R. Aglyamov, J. Shah, S. Sethuraman, W. G. Scott, R. Schmitt, Massoud Motamedi, A. Karpiouk, and Alexander A. Oraevsky. "Combined ultrasound, optoacoustic, and elasticity imaging." In Biomedical Optics 2004, edited by Alexander A. Oraevsky and Lihong V. Wang. SPIE, 2004. http://dx.doi.org/10.1117/12.537155.

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Long, Xing, and Changhui Li. "Non-contact ultrasound sensing for biomedical imaging." In Optics in Health Care and Biomedical Optics XII, edited by Qingming Luo, Xingde Li, Ying Gu, and Dan Zhu. SPIE, 2023. http://dx.doi.org/10.1117/12.2643923.

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Bossy, Emmanuel, Lei Sui, Todd W. Murray, and Ronald A. Roy. "Combination of ultrasound and acousto-optical imaging using a pulsed-ultrasound scanner." In Biomedical Optics 2005, edited by Alexander A. Oraevsky and Lihong V. Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.589444.

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Ermert, H. "High resolution ultrasound imaging & tissue characterization." In Biomedical Topical Meeting. Washington, D.C.: OSA, 1999. http://dx.doi.org/10.1364/bio.1999.asua1.

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Ilkhechi, Afshin Kashani, and Roger Zemp. "Transparent Capacitive Micromachined Ultrasound Transducer Arrays for Multimodal Imaging Systems." In European Conference on Biomedical Optics. Washington, D.C.: Optica Publishing Group, 2021. http://dx.doi.org/10.1364/ecbo.2021.em2d.3.

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Анотація:

We introduce transparent TOBE CMUT arrays for multimodal imaging systems, combining ultrasound with photoacoustic and optical imaging systems. We designed and fabricated a 128-element lambda-pitch transducers with high transparency ranging from visible to near-infrared.

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Guo, Puyun, Shikui Yan, and Quing Zhu. "Three-dimensional ultrasound imaging system in a combined ultrasound and near-infrared imager." In Biomedical Optics 2003, edited by Britton Chance, Robert R. Alfano, Bruce J. Tromberg, Mamoru Tamura, and Eva M. Sevick-Muraca. SPIE, 2003. http://dx.doi.org/10.1117/12.485368.

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Haupt, Robert, Charles Wynn, Brian Anthony, Jonathan Fincke, Anthony Samir, and Xiang Zhang. "Non-contact laser ultrasound concept for biomedical imaging." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8091941.

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Mojabi, Pedram, and Joe LoVetri. "Microwave and ultrasound imaging for biomedical tissue identification." In 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2014. http://dx.doi.org/10.1109/usnc-ursi.2014.6955438.

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