Статті в журналах: "Biomedical Ultrasound Imaging"

1

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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2

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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3

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.2014.6689779.

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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Seo, Jongbum, and Young-sun Kim. "Ultrasound imaging and beyond: recent advances in medical ultrasound." Biomedical Engineering Letters 7, no. 2 (April 14, 2017): 57–58. http://dx.doi.org/10.1007/s13534-017-0030-7.

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12

Olafsson, Ragnar, Russell S. Witte, Sheng-Wen Huang, and Matthew O'Donnell. "Ultrasound Current Source Density Imaging." IEEE Transactions on Biomedical Engineering 55, no. 7 (July 2008): 1840–48. http://dx.doi.org/10.1109/tbme.2008.919115.

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13

Sosnovik, David E., and Marielle Scherrer-Crosbie. "Biomedical Imaging in Experimental Models of Cardiovascular Disease." Circulation Research 130, no. 12 (June 10, 2022): 1851–68. http://dx.doi.org/10.1161/circresaha.122.320306.

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Major advances in biomedical imaging have occurred over the last 2 decades and now allow many physiological, cellular, and molecular processes to be imaged noninvasively in small animal models of cardiovascular disease. Many of these techniques can be also used in humans, providing pathophysiological context and helping to define the clinical relevance of the model. Ultrasound remains the most widely used approach, and dedicated high-frequency systems can obtain extremely detailed images in mice. Likewise, dedicated small animal tomographic systems have been developed for magnetic resonance, positron emission tomography, fluorescence imaging, and computed tomography in mice. In this article, we review the use of ultrasound and positron emission tomography in small animal models, as well as emerging contrast mechanisms in magnetic resonance such as diffusion tensor imaging, hyperpolarized magnetic resonance, chemical exchange saturation transfer imaging, magnetic resonance elastography and strain, arterial spin labeling, and molecular imaging.

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14

Robertson, Elijah, and Liangzhong Xiang. "Theranostics with radiation-induced ultrasound emission (TRUE)." Journal of Innovative Optical Health Sciences 11, no. 03 (April 9, 2018): 1830002. http://dx.doi.org/10.1142/s1793545818300021.

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Two novel ultrasound imaging techniques with imaging contrast mechanisms are in the works: X-ray-induced acoustic computed tomography (XACT), and nanoscale photoacoustic tomography (nPAT). XACT has incredible potential in: (1) biomedical imaging, through which a 3D image can be generated using only a single X-ray projection, and (2) radiation dosimetry. nPAT as a new alternative of super-resolution microscopy can break through the optical diffraction limit and is capable of exploring sub-cellular structures without reliance on fluorescence labeling. We expect these new imaging techniques to find widespread applications in both pre-clinical and clinical biomedical research.

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15

Anastasiadis, Pavlos, and Pavel V. Zinin. "High-Frequency Time-Resolved Scanning Acoustic Microscopy for Biomedical Applications." Open Neuroimaging Journal 12, no. 1 (December 31, 2018): 69–85. http://dx.doi.org/10.2174/1874440001812010069.

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High-frequency focused ultrasound has emerged as a powerful modality for both biomedical imaging and elastography. It is gaining more attention due to its capability to outperform many other imaging modalities at a submicron resolution. Besides imaging, high-frequency ultrasound or acoustic biomicroscopy has been used in a wide range of applications to assess the elastic and mechanical properties at the tissue and single cell level. The interest in acoustic microscopy stems from the awareness of the relationship between biomechanical and the underlying biochemical processes in cells and the vast impact these interactions have on the onset and progression of disease. Furthermore, ultrasound biomicroscopy is characterized by its non-invasive and non-destructive approach. This, in turn, allows for spatiotemporal studies of dynamic processes without the employment of histochemistry that can compromise the integrity of the samples. Numerous techniques have been developed in the field of acoustic microscopy. This review paper discusses high-frequency ultrasound theory and applications for both imaging and elastography.

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16

Elizabeth and Denis White. "Bibliography of biomedical ultrasound." Ultrasound in Medicine & Biology 13, no. 1 (January 1987): 35–50. http://dx.doi.org/10.1016/0301-5629(87)90159-1.

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17

White, Denis, and Elizabeth White. "Bibliography of biomedical ultrasound." Ultrasound in Medicine & Biology 16, no. 9 (January 1990): 851–1018. http://dx.doi.org/10.1016/0301-5629(90)90056-i.

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18

QIU, WeiBao, Fei YAN, HaiRong ZHENG, Long MENG, FeiYan CAI, LiLi NIU, and Fei LI. "Multi-functional biomedical ultrasound: Imaging, manipulation, neuromodulation and therapy." Chinese Science Bulletin 60, no. 20 (July 1, 2015): 1864–73. http://dx.doi.org/10.1360/n972015-00038.

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19

Gao, Fei, Xiaohua Feng, and Yuanjin Zheng. "Coherent Photoacoustic-Ultrasound Correlation and Imaging." IEEE Transactions on Biomedical Engineering 61, no. 9 (September 2014): 2507–12. http://dx.doi.org/10.1109/tbme.2014.2321007.

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20

Li, Yan, and Zhongping Chen. "Multimodal intravascular photoacoustic and ultrasound imaging." Biomedical Engineering Letters 8, no. 2 (March 26, 2018): 193–201. http://dx.doi.org/10.1007/s13534-018-0061-8.

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21

Everbach, E. Carr. "Hot topics in biomedical ultrasound: ultrasound therapy and its integration with ultrasonic imaging." Journal of the Acoustical Society of America 118, no. 3 (September 2005): 1972. http://dx.doi.org/10.1121/1.4781817.

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22

Foster, F. Stuart, John Hossack, and S. Lee Adamson. "Micro-ultrasound for preclinical imaging." Interface Focus 1, no. 4 (June 8, 2011): 576–601. http://dx.doi.org/10.1098/rsfs.2011.0037.

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Over the past decade, non-invasive preclinical imaging has emerged as an important tool to facilitate biomedical discovery. Not only have the markets for these tools accelerated, but the numbers of peer-reviewed papers in which imaging end points and biomarkers have been used have grown dramatically. High frequency ‘micro-ultrasound’ has steadily evolved in the post-genomic era as a rapid, comparatively inexpensive imaging tool for studying normal development and models of human disease in small animals. One of the fundamental barriers to this development was the technological hurdle associated with high-frequency array transducers. Recently, new approaches have enabled the upper limits of linear and phased arrays to be pushed from about 20 to over 50 MHz enabling a broad range of new applications. The innovations leading to the new transducer technology and scanner architecture are reviewed. Applications of preclinical micro-ultrasound are explored for developmental biology, cancer, and cardiovascular disease. With respect to the future, the latest developments in high-frequency ultrasound imaging are described.

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23

Wang, Lulu. "Acoustic Radiation Force Based Ultrasound Elasticity Imaging for Biomedical Applications." Sensors 18, no. 7 (July 12, 2018): 2252. http://dx.doi.org/10.3390/s18072252.

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Pathological changes in biological tissue are related to the changes in mechanical properties of biological tissue. Conventional medical screening tools such as ultrasound, magnetic resonance imaging or computed tomography have failed to produce the elastic properties of biological tissues directly. Ultrasound elasticity imaging (UEI) has been proposed as a promising imaging tool to map the elastic parameters of soft tissues for the clinical diagnosis of various diseases include prostate, liver, breast, and thyroid gland. Existing UEI-based approaches can be classified into three groups: internal physiologic excitation, external excitation, and acoustic radiation force (ARF) excitation methods. Among these methods, ARF has become one of the most popular techniques for the clinical diagnosis and treatment of disease. This paper provides comprehensive information on the recently developed ARF-based UEI techniques and instruments for biomedical applications. The mechanical properties of soft tissue, ARF and displacement estimation methods, working principle and implementation instruments for each ARF-based UEI method are discussed.

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24

Turquin, E., L. Petrusca, O. Bernard, M. Viallon, H. Liebgott, and F. Varray. "Local Orientation Imaging for Tissue Structure Using Ultrasound Imaging." IRBM 38, no. 5 (October 2017): 298–303. http://dx.doi.org/10.1016/j.irbm.2017.08.002.

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25

Manwar, Rayyan, Mohsin Zafar, and Qiuyun Xu. "Signal and Image Processing in Biomedical Photoacoustic Imaging: A Review." Optics 2, no. 1 (December 31, 2020): 1–24. http://dx.doi.org/10.3390/opt2010001.

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Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI works on the principle of electromagnetic energy absorption by the exogenous contrast agents and/or endogenous molecules present in the biological tissue, consequently generating ultrasound waves. PAI combines a high optical contrast with a high acoustic spatiotemporal resolution, allowing the non-invasive visualization of absorbers in deep structures. However, due to the optical diffusion and ultrasound attenuation in heterogeneous turbid biological tissue, the quality of the PA images deteriorates. Therefore, signal and image-processing techniques are imperative in PAI to provide high-quality images with detailed structural and functional information in deep tissues. Here, we review various signal and image processing techniques that have been developed/implemented in PAI. Our goal is to highlight the importance of image computing in photoacoustic imaging.

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26

SAYED, AHMED M., RACHEL LAMARCK, ELISA CRUZ, EROS CHAVES, and OSAMA M. MUKDADI. "QUANTITATIVE ASSESSMENT OF GINGIVAL INFLAMMATION USING HIGH-RESOLUTION ULTRASOUNDEX-VIVO." Journal of Mechanics in Medicine and Biology 18, no. 03 (May 2018): 1850012. http://dx.doi.org/10.1142/s0219519418500124.

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This study investigates the feasibility of using high-resolution ultrasound imaging echogenicity to quantitatively diagnose gingival inflammation. Gingival samples were extracted from the study participants during gingivectomy procedures. Ultrasound mechanical scanning of the samples was immediately conducted ex-vivo to render cross-sectional images of high resolution, at different locations. Samples’ histological preparation and analysis was followed after performing ultrasound imaging. Histological sections were then matched with ultrasound images at different sections for each gingival sample. The matched image pairs were used to estimate two quantitative measures; relative inflammation area and ultrasound image echogenicity. These parameters were employed to judge the diagnostic potential of gingival ultrasound imaging. The results show that ultrasound images exhibited low intensity levels at the inflamed gingival regions, while healthy layers showed higher intensity levels. The relative area parameter implied a strong relationship between ultrasound and histological images. Ultrasound echogenicity was found to be statistically significant in differentiating between some inflammation degrees in the studied gingival samples. In summary, ultrasound imaging has the potential to be a noninvasive adjunct diagnostic tool for gingival inflammation, and may help assess the stage of the disease and ultimately limit periodontal disease occurrence; taking into consideration the limits of this study.

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27

Huang, Chih-Chung. "Ultrafast high frequency ultrasound Doppler imaging and its biomedical applications." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 2900. http://dx.doi.org/10.1121/1.5137062.

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28

Li, Jiapu, Yuqing Ma, Tao Zhang, K. Kirk Shung, and Benpeng Zhu. "Recent Advancements in Ultrasound Transducer: From Material Strategies to Biomedical Applications." BME Frontiers 2022 (May 12, 2022): 1–19. http://dx.doi.org/10.34133/2022/9764501.

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Ultrasound is extensively studied for biomedical engineering applications. As the core part of the ultrasonic system, the ultrasound transducer plays a significant role. For the purpose of meeting the requirement of precision medicine, the main challenge for the development of ultrasound transducer is to further enhance its performance. In this article, an overview of recent developments in ultrasound transducer technologies that use a variety of material strategies and device designs based on both the piezoelectric and photoacoustic mechanisms is provided. Practical applications are also presented, including ultrasound imaging, ultrasound therapy, particle/cell manipulation, drug delivery, and nerve stimulation. Finally, perspectives and opportunities are also highlighted.

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29

Qiu, Weibao, Xingying Wang, Yan Chen, Qiang Fu, Min Su, Lining Zhang, Jingjing Xia, Jiyan Dai, Yaonan Zhang, and Hairong Zheng. "Modulated Excitation Imaging System for Intravascular Ultrasound." IEEE Transactions on Biomedical Engineering 64, no. 8 (August 2017): 1935–42. http://dx.doi.org/10.1109/tbme.2016.2631224.

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30

Zhao, Hui, Mingli Chen, Barry D. Van Veen, Janette F. Strasburger, and Ronald T. Wakai. "Simultaneous Fetal Magnetocardiography and Ultrasound/Doppler Imaging." IEEE Transactions on Biomedical Engineering 54, no. 6 (June 2007): 1167–71. http://dx.doi.org/10.1109/tbme.2006.889198.

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31

Vuille, C., R. Lerch, F. Ricou., S. Burgan, F. Weber, and W. Rutishauser. "Three- and Four-Dimensional Cardiovascular Ultrasound Imaging." Biomedizinische Technik/Biomedical Engineering 39, s1 (January 1994): 23. http://dx.doi.org/10.1515/bmte.1994.39.s1.23.

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32

Park, Jihoon, Jin Bum Kang, Jin Ho Chang, and Yangmo Yoo. "Speckle reduction techniques in medical ultrasound imaging." Biomedical Engineering Letters 4, no. 1 (March 2014): 32–40. http://dx.doi.org/10.1007/s13534-014-0122-6.

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33

Seo, Chi Hyung, Yan Shi, Sheng-Wen Huang, Kang Kim, and Matthew O'Donnell. "Thermal strain imaging: a review." Interface Focus 1, no. 4 (May 23, 2011): 649–64. http://dx.doi.org/10.1098/rsfs.2011.0010.

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Thermal strain imaging (TSI) or temporal strain imaging is an ultrasound application that exploits the temperature dependence of sound speed to create thermal (temporal) strain images. This article provides an overview of the field of TSI for biomedical applications that have appeared in the literature over the past several years. Basic theory in thermal strain is introduced. Two major energy sources appropriate for clinical applications are discussed. Promising biomedical applications are presented throughout the paper, including non-invasive thermometry and tissue characterization. We present some of the limitations and complications of the method. The paper concludes with a discussion of competing technologies.

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34

Park, Eun-Yeong, Sinyoung Park, Haeni Lee, Munsik Kang, Chulhong Kim, and Jeesu Kim. "Simultaneous Dual-Modal Multispectral Photoacoustic and Ultrasound Macroscopy for Three-Dimensional Whole-Body Imaging of Small Animals." Photonics 8, no. 1 (January 10, 2021): 13. http://dx.doi.org/10.3390/photonics8010013.

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Photoacoustic imaging is a promising medical imaging technique that provides excellent function imaging of an underlying biological tissue or organ. However, it is limited in providing structural information compared to other imaging modalities, such as ultrasound imaging. Thus, to offer complete morphological details of biological tissues, photoacoustic imaging is typically integrated with ultrasound imaging. This dual-modal imaging technique is already implemented on commercial clinical ultrasound imaging platforms. However, commercial platforms suffer from limited elevation resolution compared to the lateral and axial resolution. We have successfully developed a dual-modal photoacoustic and ultrasound imaging to address these limitations, specifically targeting animal studies. The system can acquire whole-body images of mice in vivo and provide complementary structural and functional information of biological tissue information simultaneously. The color-coded depth information can be readily obtained in photoacoustic images using complementary information from ultrasound images. The system can be used for several biomedical applications, including drug delivery, biodistribution assessment, and agent testing.

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35

Park, Eun-Yeong, Sinyoung Park, Haeni Lee, Munsik Kang, Chulhong Kim, and Jeesu Kim. "Simultaneous Dual-Modal Multispectral Photoacoustic and Ultrasound Macroscopy for Three-Dimensional Whole-Body Imaging of Small Animals." Photonics 8, no. 1 (January 10, 2021): 13. http://dx.doi.org/10.3390/photonics8010013.

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Анотація:

Photoacoustic imaging is a promising medical imaging technique that provides excellent function imaging of an underlying biological tissue or organ. However, it is limited in providing structural information compared to other imaging modalities, such as ultrasound imaging. Thus, to offer complete morphological details of biological tissues, photoacoustic imaging is typically integrated with ultrasound imaging. This dual-modal imaging technique is already implemented on commercial clinical ultrasound imaging platforms. However, commercial platforms suffer from limited elevation resolution compared to the lateral and axial resolution. We have successfully developed a dual-modal photoacoustic and ultrasound imaging to address these limitations, specifically targeting animal studies. The system can acquire whole-body images of mice in vivo and provide complementary structural and functional information of biological tissue information simultaneously. The color-coded depth information can be readily obtained in photoacoustic images using complementary information from ultrasound images. The system can be used for several biomedical applications, including drug delivery, biodistribution assessment, and agent testing.

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36

Franceschini, Stefano, Michele Ambrosanio, Angelo Gifuni, Giuseppe Grassini, and Fabio Baselice. "An Experimental Ultrasound Database for Tomographic Imaging." Applied Sciences 12, no. 10 (May 20, 2022): 5192. http://dx.doi.org/10.3390/app12105192.

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Анотація:

In the framework of non-destructive testing and imaging, ultrasound tomography can have an important role in several applications, especially in the biomedical field. The motivation beyond the use of this imaging technique lies in the possibility of obtaining quantitative imaging which is also operator-independent, conversely to conventional approaches. Thus, the need for public data sets for testing inverse scattering approaches is always persisting. To this aim, this paper introduces an experimental multiple-input-multiple-output ultrasound tomographic database whose acquisitions were performed by an air-matched in-house system designed and built by the Authors. The proposed database provides several cases with single and multiple objects of different shapes, sizes, and materials, to be imaged in laboratory-controlled conditions. Therefore, these scenarios can represent interesting options for the preliminary testing of tomographic ultrasound imaging approaches.

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37

Bloch, S. H., P. A. Dayton, and K. W. Ferrara. "Targeted imaging using ultrasound contrast agents." IEEE Engineering in Medicine and Biology Magazine 23, no. 5 (September 2004): 18–29. http://dx.doi.org/10.1109/memb.2004.1360405.

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38

Kaufmann, Beat A., and Jonathan R. Lindner. "Molecular imaging with targeted contrast ultrasound." Current Opinion in Biotechnology 18, no. 1 (February 2007): 11–16. http://dx.doi.org/10.1016/j.copbio.2007.01.004.

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39

Wen, Qiaonong, Suiren Wan, Zengli Liu, Shuang Xu, Hairui Wang, and Biao Yang. "Ultrasound Contrast Agents and Ultrasound Molecular Imaging." Journal of Nanoscience and Nanotechnology 14, no. 1 (January 1, 2014): 190–209. http://dx.doi.org/10.1166/jnn.2014.9114.

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40

de Korte, Chris L., Hendrik H. G. Hansen, and Anton F. W. van der Steen. "Vascular ultrasound for atherosclerosis imaging." Interface Focus 1, no. 4 (June 2011): 565–75. http://dx.doi.org/10.1098/rsfs.2011.0024.

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Cardiovascular disease is a leading cause of death in the Western world. Therefore, detection and quantification of atherosclerotic disease is of paramount importance to monitor treatment and possible prevention of acute events. Vascular ultrasound is an excellent technique to assess the geometry of vessel walls and plaques. The high temporal as well as spatial resolution allows quantification of luminal area and plaque size and volume. While carotid arteries can be imaged non-invasively, scanning of coronary arteries requires invasive intravascular catheters. Both techniques have already demonstrated their clinical applicability. Using linear array technology, detection of disease as well as monitoring of pharmaceutical treatment in carotid arteries are feasible. Data acquired with intravascular ultrasound catheters have proved to be especially beneficial in understanding the development of atherosclerotic disease in coronary arteries. With the introduction of vascular elastography not only the geometry of plaques but also the risk for rupture of plaques might be identified. These so-called vulnerable plaques are frequently not flow-limiting and rupture of these plaques is responsible for the majority of cerebral and cardiac ischaemic events. Intravascular ultrasound elastography studies have demonstrated a high correlation between high strain and vulnerable plaque features, both ex vivo and in vivo . Additionally, pharmaceutical intervention could be monitored using this technique. Non-invasive vascular elastography has recently been developed for carotid applications by using compound scanning. Validation and initial clinical evaluation is currently being performed. Since abundance of vasa vasorum (VV) is correlated with vulnerable plaque development, quantification of VV might be a unique tool to even prevent this from happening. Using ultrasound contrast agents, it has been demonstrated that VV can be identified and quantified. Although far from routine clinical application, non-invasive and intravascular ultrasound VV imaging might pave the road to prevent atherosclerotic disease in an early phase. This paper reviews the conventional vascular ultrasound techniques as well as vascular ultrasound strain and vascular ultrasound VV imaging.

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41

Kim, Jeesu, Eun-Yeong Park, Byullee Park, Wonseok Choi, Ki J. Lee, and Chulhong Kim. "Towards clinical photoacoustic and ultrasound imaging: Probe improvement and real-time graphical user interface." Experimental Biology and Medicine 245, no. 4 (January 9, 2020): 321–29. http://dx.doi.org/10.1177/1535370219889968.

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Photoacoustic imaging is a non-invasive and non-ionizing biomedical technique that has been investigated widely for various clinical applications. By taking the advantages of conventional ultrasound imaging, hand-held operation with a linear array transducer should be favorable for successful clinical translation of photoacoustic imaging. In this paper, we present new key updates contributed to the previously developed real-time clinical photoacoustic and ultrasound imaging system for improving the clinical usability of the system. We developed a seamless image optimization platform, designed a real-time parameter control software with a user-friendly graphical user interface, performed Monte Carlo simulation of the optical fluence in the imaging plane, and optimized the geometry of the imaging probe. The updated system allows optimizing of all imaging parameters while continuously acquiring the photoacoustic and ultrasound images in real-time. The updated system has great potential to be used in a variety of clinical applications such as assessing the malignancy of thyroid cancer, breast cancer, and melanoma. Impact statement Photoacoustic imaging is a promising biomedical imaging modality that can visualize both structural and functional information of biological tissue. Because of its easiness to be integrated with conventional ultrasound imaging systems, numerous studies have been conducted to develop and apply clinical photoacoustic imaging systems. However, most of the systems were not suitable for general-purpose clinical applications due to one of the following reasons: target specific design, immobility, inaccessible operation sequence, and lack of hand-held operation. This study demonstrates a real-time clinical photoacoustic and ultrasound imaging system, which can overcome the limitations of the previous systems for successful clinical translation.

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42

Chen, Waner, Yan Yang, Dihua Shangguan, Yuejing Wu, and Zhe Liu. "Multifunctional hard-shelled microbubbles for differentiating imaging, cavitation and drug release by ultrasound." RSC Advances 7, no. 42 (2017): 25892–96. http://dx.doi.org/10.1039/c7ra03395h.

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43

Farhadi, Arash, Gabrielle H. Ho, Daniel P. Sawyer, Raymond W. Bourdeau, and Mikhail G. Shapiro. "Ultrasound imaging of gene expression in mammalian cells." Science 365, no. 6460 (September 26, 2019): 1469–75. http://dx.doi.org/10.1126/science.aax4804.

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The study of cellular processes occurring inside intact organisms requires methods to visualize cellular functions such as gene expression in deep tissues. Ultrasound is a widely used biomedical technology enabling noninvasive imaging with high spatial and temporal resolution. However, no genetically encoded molecular reporters are available to connect ultrasound contrast to gene expression in mammalian cells. To address this limitation, we introduce mammalian acoustic reporter genes. Starting with a gene cluster derived from bacteria, we engineered a eukaryotic genetic program whose introduction into mammalian cells results in the expression of intracellular air-filled protein nanostructures called gas vesicles, which produce ultrasound contrast. Mammalian acoustic reporter genes allow cells to be visualized at volumetric densities below 0.5% and permit high-resolution imaging of gene expression in living animals.

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44

Zheng, Hairong, Osama Mukdadi, and Robin Shandas. "Theoretical predictions of harmonic generation from submicron ultrasound contrast agents for nonlinear biomedical ultrasound imaging." Physics in Medicine and Biology 51, no. 3 (January 11, 2006): 557–73. http://dx.doi.org/10.1088/0031-9155/51/3/006.

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45

Liu, Xin, Boyi Li, Bo Pang, Chengcheng Liu, Yuexia Shu, Kailiang Xu, Jianwen Luo, and Dean Ta. "Improved Ultrasound Imaging Performance With Complex Cumulant Analysis." IEEE Transactions on Biomedical Engineering 69, no. 3 (March 2022): 1281–89. http://dx.doi.org/10.1109/tbme.2022.3141197.

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46

Dalong Liu and E. S. Ebbini. "Real-Time 2-D Temperature Imaging Using Ultrasound." IEEE Transactions on Biomedical Engineering 57, no. 1 (January 2010): 12–16. http://dx.doi.org/10.1109/tbme.2009.2035103.

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47

McAleavey, S. A., D. J. Rubens, and K. J. Parker. "Doppler ultrasound imaging of magnetically vibrated brachytherapy seeds." IEEE Transactions on Biomedical Engineering 50, no. 2 (February 2003): 252–55. http://dx.doi.org/10.1109/tbme.2002.807644.

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48

Siebers, S., C. Welp, J. Werner, and H. Ermert. "ULTRASOUND-BASED IMAGING MODALITIES FOR THERMAL THERAPY MONITORING." Biomedizinische Technik/Biomedical Engineering 47, s1a (2002): 438–40. http://dx.doi.org/10.1515/bmte.2002.47.s1a.438.

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49

Lujiang Liu, Xiaodong Zhang, and S. L. Broschat. "Ultrasound imaging using variations of the iterative Born technique [biomedical diagnosis]." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 46, no. 3 (May 1999): 574–83. http://dx.doi.org/10.1109/58.764844.

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50

Saijo, Yoshifumi. "High resolution biomedical imaging—multimodal ultrasound microscope and combination with optics." Journal of the Acoustical Society of America 131, no. 4 (April 2012): 3495. http://dx.doi.org/10.1121/1.4709206.

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