Relevant bibliographies by topics / Ultrasound imaging

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Ultrasound imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 September 2024

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Journal articles on the topic "Ultrasound imaging"

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Cosgrove, D. "Developments in ultrasound." Imaging 18, no. 2 (June 2006): 82–96. http://dx.doi.org/10.1259/imaging/67649950.

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Ostensen, Jonny. "Ultrasound imaging." Journal of the Acoustical Society of America 102, no. 5 (1997): 2484. http://dx.doi.org/10.1121/1.419844.

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Wells, P. N. T. "Ultrasound imaging." Physics in Medicine and Biology 51, no. 13 (June 20, 2006): R83—R98. http://dx.doi.org/10.1088/0031-9155/51/13/r06.

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Lanza, Gregory M. "Ultrasound Imaging." Investigative Radiology 55, no. 9 (July 16, 2020): 573–77. http://dx.doi.org/10.1097/rli.0000000000000679.

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Wells, P. N. T. "Ultrasound imaging." Journal of Biomedical Engineering 10, no. 6 (November 1988): 548–54. http://dx.doi.org/10.1016/0141-5425(88)90114-8.

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MILES, G., and S. J. FREEMAN. "Ultrasound imaging of the “on call” acute scrotum." Imaging 22, no. 1 (May 2013): 20120025. http://dx.doi.org/10.1259/imaging.20120025.

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Rosenschein, Uri, Vladimir Furman, Efim Kerner, Itzchak Fabian, Joelle Bernheim, and Yoram Eshel. "Ultrasound Imaging–Guided Noninvasive Ultrasound Thrombolysis." Circulation 102, no. 2 (July 11, 2000): 238–45. http://dx.doi.org/10.1161/01.cir.102.2.238.

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Grant, Edward G., Wilson Wong, Franklin Tessler, and Rita Perrella. "Cerebrovascular Ultrasound Imaging." Radiologic Clinics of North America 26, no. 5 (September 1988): 1111–30. http://dx.doi.org/10.1016/s0033-8389(22)00812-0.

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Thijssen, Johan, and Chris Korte. "Cardiological Ultrasound Imaging." Current Pharmaceutical Design 20, no. 39 (April 17, 2014): 6150–61. http://dx.doi.org/10.2174/1381612820666140417113304.

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Köse, Gurbet, Milita Darguzyte, and Fabian Kiessling. "Molecular Ultrasound Imaging." Nanomaterials 10, no. 10 (September 28, 2020): 1935. http://dx.doi.org/10.3390/nano10101935.

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In the last decade, molecular ultrasound imaging has been rapidly progressing. It has proven promising to diagnose angiogenesis, inflammation, and thrombosis, and many intravascular targets, such as VEGFR2, integrins, and selectins, have been successfully visualized in vivo. Furthermore, pre-clinical studies demonstrated that molecular ultrasound increased sensitivity and specificity in disease detection, classification, and therapy response monitoring compared to current clinically applied ultrasound technologies. Several techniques were developed to detect target-bound microbubbles comprising sensitive particle acoustic quantification (SPAQ), destruction-replenishment analysis, and dwelling time assessment. Moreover, some groups tried to assess microbubble binding by a change in their echogenicity after target binding. These techniques can be complemented by radiation force ultrasound improving target binding by pushing microbubbles to vessel walls. Two targeted microbubble formulations are already in clinical trials for tumor detection and liver lesion characterization, and further clinical scale targeted microbubbles are prepared for clinical translation. The recent enormous progress in the field of molecular ultrasound imaging is summarized in this review article by introducing the most relevant detection technologies, concepts for targeted nano- and micro-bubbles, as well as their applications to characterize various diseases. Finally, progress in clinical translation is highlighted, and roadblocks are discussed that currently slow the clinical translation.
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Dissertations / Theses on the topic "Ultrasound imaging"

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Boulos, Paul. "Ultrasound imaging of the ultrasound thrombolysis." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1251/document.

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Les techniques de thérapie par ultrasons sont apparues très récemment avec la découverte des ultrasons de haute intensité focalisée. La thrombolyse ultrasonore extracorporelle en fait partie et se base sur la destruction mécanique du thrombus causée par la cavitation acoustique. Cependant, c'est un phénomène mal contrôlé. Ainsi, un meilleur contrôle de l'activité de cavitation et sa localisation pendant la thérapie est essentiel pour considérer le développement d'un dispositif thérapeutique. Un prototype a déjà été conçu et amélioré avec une boucle de rétroaction en temps réel afin de contrôler l'activité de puissance de cavitation. Cependant, pour surveiller le traitement en temps réel, un système d'imagerie ultrasonore doit être incorporé dans le dispositif thérapeutique. Il doit être capable de localiser le thrombus, de positionner la focale du transducteur thérapeutique, de contrôler la destruction complète du thrombus et d'évaluer en temps réel l'activité de cavitation. Le travail actuel se focalise principalement sur le développement de techniques d'imagerie ultrasonore passive utilisées pour reconstituer les cartographies d'activité de cavitation. Différents algorithmes de formation de voies ont été examinés et validés par des simulations de sources ponctuelles, des expériences in vitro sur fil et des expériences de cavitation dans une cuve d'eau. Il a été démontré que l'algorithme de formation de voie le plus précis pour la localisation du point focale de cavitation est la technique de cartographie passive acoustique pondérée avec le facteur de cohérence de phase (PAM-PCF). En outre, des tests in vivo sur un modèle animal d'ischémie des membres aigus ont été évalués. Enfin, certaines optimisations du système d'imagerie développé précédemment ont été réalisées comme l'imagerie 3D, l'implémentation en temps réel et l'imagerie hybride combinant l'imagerie active anatomique avec les cartographies de cavitation passive
Ultrasound therapy techniques emerged very recently with the discovery of high intensity focused ultrasound (HIFU) technology. Extracorporeal ultrasound thrombolysis is one of these promising innovative low-invasive treatment based on the mechanical destruction of thrombus caused by acoustic cavitation mechanisms. Yet, it is a poorly controlled phenomenon and therefore raises problems of reproducibility that could damage vessel walls. Thus, better control of cavitation activity during the ultrasonic treatment and especially its localization during the therapy is an essential approach to consider the development of a therapeutic device. A prototype has already been designed and improved with a real-time feedback loop in order to control the cavitation power activity. However, to monitor the treatment in real-time, an ultrasound imaging system needs to be incorporated into the therapeutic device. It should be able to first spot the blood clot, to position the focal point of the therapy transducer, control the proper destruction of the thrombus, and evaluate in real-time the cavitation activity. Present work focusses mainly on the development of passive ultrasound techniques used to reconstruct cavitation activity maps. Different beamforming algorithms were investigated and validated through point source simulations, in vitro experiments on a wire, and cavitation experiments in a water tank. It was demonstrated that an accurate beamforming algorithm for focal cavitation point localization is the passive acoustic mapping weighted with the phase coherence factor (PAM-PCF). Additionally, in vivo testing on an animal model of acute limb ischemia was assessed. Finally, some optimizations of the previous developed imaging system were carried out as 3D imaging, real-time implementation, and hybrid imaging combining active anatomical imaging with passive cavitation mapping
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Vadalma, Anthony. "Smartphone ultrasound imaging." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/204111/1/Anthony_Vadalma_Thesis.pdf.

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This research project titled 'Smartphone Ultrasound Imaging' aimed to develop an affordable, portable and single handed ultrasound-imaging device to be used in hospitals, developing world nations as well as rural and remote Australia. This study examined the feasibility of combining a conventional smartphone with an ultrasound probe into one single device. All necessary ultrasound signal processing components were built and smartphone applications were developed to successfully transmit data either via Bluetooth or Wi-Fi from the ultrasound to the smartphone.
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Abeysekera, Jeffrey Michael. "Three dimensional ultrasound elasticity imaging." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57462.

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Changes in tissue elasticity are correlated with certain pathological changes, such as localized stiffening of malignant tumours or diffuse stiffening of liver fibrosis or placenta dysfunction. Elastography is a field of medical imaging that characterizes the mechanical properties of tissue, such as elasticity and viscosity. The elastography process involves deforming the tissue, measuring the tissue motion using an imaging technique such as ultrasound or magnetic resonance imaging (MRI), and solving the equations of motion. Ultrasound is well suited for elastography, however, it presents challenges such as anisotropic measurement accuracy and providing two dimensional (2D) measurements rather than three dimensional (3D). This thesis focuses on overcoming some of these limitations by improving upon methods of imaging absolute elasticity using 3D ultrasound. In this thesis, techniques are developed for 3D ultrasound acquired from transducers fitted with a motor to sweep the image plane, however many of the techniques can be applied to other forms of 3D acquisition such as matrix arrays. First, a flexible framework for 3D ultrasound elastography system is developed. The system allows for comparison and in depth analysis of errors in current state of the art 3D ultrasound shear wave absolute vibro-elastography (SWAVE). The SWAVE system is then used to measure the viscoelastic properties of placentas, which could be clinically valuable in diagnosing preeclampsia and fetal growth restriction. A novel 3D ultrasound calibration technique is developed which estimates the transducer motor parameters for accurate determination of location and orientation of every data sample, as well as for enabling position tracking of a 3D ultrasound transducer so multiple volumes can be combined. Another calibration technique using assumed motor parameters is developed, and an improvement to an existing N-wire method is presented. The SWAVE research system is extended to measure shear wave motion vectors with a new acquisition scheme to create synchronous volumes of ultrasound data. Regularization based on tissue incompressibility is used to reduce noise in the motion measurements. Lastly, multiple ultrasound volumes from different angles are combined for measurement of the full motion vector, and demonstrating accurate reconstructions of elasticity are feasible using the techniques developed in this thesis.
Applied Science, Faculty of
Mechanical Engineering, Department of
Graduate
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Alomari, Zainab Rami Saleh. "Plane wave imaging beamforming techniques for medical ultrasound imaging." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/18127/.

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In ultrasound array imaging, the beamforming operation is performed by aligning and processing the received echo signals from each individual array element to form a complete image. This operation can be performed in many different ways, where adaptive and non-adaptive beamformers are considered as the main categories. Adaptive beamformers exploit the statistical correlation between the received data to find a weighting value at the focal point, instead of using a fixed weighting window in non-adaptive beamforming. This results in a significant improvement in the image quality in terms of resolution and sidelobes reduction. This improvement is necessary for ultrafast imaging because of the lack of focusing in Plane Wave Imaging (PWI) that results in lowering the SNR, and thus the produced imaging quality is reduced. This thesis analyses different adaptive beamforming techniques for ultrafast imaging. For accurate medical diagnosis, the frame rate, the imaging resolution, contrast and speckle homogeneity are all considered as important parameters that contribute to the final imaging result. To be able to evaluate each technique by minimizing the effect of external parameters, two different analysis were performed. First an empirical expression for PWI lateral resolution is produced after studying the effect of the imaging parameters on this imaging method. Then a method for selecting the suitable steering angles in Compound Plane- Wave Imaging (CPWI) is introduced, with a detailed explanation for the effect of the compound angles on resolution and sidelobes level. In order to add the contrast improvement to the properties of adaptive beamformers, some techniques like the coherence-based factors and Eigenspace-Based Minimum Variance (ESBMV) are produced in the literature. After demonstrating the principle of Minimum Variance adaptive beamformer, a detailed comparison for the types of coherence-based factors is given. In addition, a new technique of Partial-ESBMV is introduced to modify reference ESBMV so that no Black Box Region artefacts nor dark spots appear when using this method in medical imaging. After explaining its background and properties using cystic and wire phantoms, the proposed method is applied to the real RF data of carotid artery, as an application to clarify the efficiency of this method in medical ultrasound imaging.
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Siepmann, Monica [Verfasser]. "Quantitative Molecular Ultrasound Imaging / Monica Siepmann." München : Verlag Dr. Hut, 2012. http://d-nb.info/1025821548/34.

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Naish, Claudia Martha. "Ultrasound imaging of the intervertebral disc." Thesis, University of Bristol, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288301.

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Christensen-Jeffries, Kirsten Mia. "Super-resolution ultrasound imaging with microbubbles." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/superresolution-ultrasound-imaging-with-microbubbles(fd0a1f07-a7d9-4393-bbfd-396cefff60a9).html.

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Ultrasound imaging is one of the most widely used clinical imaging methods offering safe, real-time imaging at low cost with excellent accessibility. However, the structure and flow of deep microvasculature, which can serve as a marker of pathological or dysfunctional tissue, cannot be adequately resolved using standard clinical ultrasound imaging frequencies due to diffraction. Conventional ultrasound imaging resolution is related to the wavelength employed, however, high frequency approaches used to improve resolutions are limited in penetration depth. Therefore, there is a crucial clinical need for the development of new techniques that can fill this ‘resolution gap’. This work develops a technique to generate super-resolved images of the vasculature using accumulated localisations of spatially isolated microbubble contrast signals. Furthermore, a temporal tracking algorithm is introduced, enabling the extraction of fluid flow velocities. Using this approach, in vitro flow phantoms are visualised to a depth of 7 cm at sub-diffraction scale using standard clinical ultrasound equipment. In subsequent work, super-resolution imaging and velocity mapping are demonstrated in vivo, providing quantitative estimates of blood flow velocities at a super-resolved spatial scale. The algorithm is then extended to acquire quantitative measures for the clinical evaluation of human lower limb perfusion, where super-resolution localisation measures are able to identify differences in the microcirculation between patients and healthy volunteers following exercise. Super-resolution imaging relies on the correct identification of spatially isolated bubble signals, while user defined thresholding limits its clinical translation. To address this challenge, machine learning techniques for foreground detection and signal classification are investigated. It is shown that support vector machines provide promising results for super-resolved imaging, whereas the unsupervised approaches investigated appear unsuitable. In addition, the 2D acquisition strategy employed limits the application of the technique to structures with limited 3D complexity. This work concludes by developing a fast, multi-probe approach, which allows 3D super-resolution imaging and flow detection in vitro.
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Zheng, Hairong. "Ultrasound contrast agents and their applications for novel ultrasound imaging techniques." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3207695.

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Al-Mejrad, Ali Saleh Khalid. "Medical ultrasound : a study of real-time three dimensional ultrasound imaging." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/21190.

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Ultrasonic techniques are very widely applied in medicine. Real-time two dimensional imaging is a technology which is extremely well-suited to medical applications since it enables moving structures to be observed and rapid searching through tissue structures to be performed. Three-dimensional (3D) ultrasonic imaging techniques have been developed but to date there has been very limited success in the development of real-time versions. The aim of this thesis is to study the feasibility of real-time 3D ultrasonic imaging to see if ways can be found to overcome the fundamental problem of sparcity of echo line data when a volume is scanned in real-time. The fundamental problem arises because conventional ultrasonic scanners have an upper limit of rate of generation of scan lines of around 10 KHz. The number of scan lines in each scanned volume is therefore low e.g. 2000 for a volume scan rate of 5 volumes per second. The aim of this thesis is to investigate whether or not modern electronic and image processing techniques can overcome this fundamental problem. During the first phase of our study, a microcomputer based C-scan test-rig system including hardware and software has been constructed to investigate the effectiveness of real-time image processing in compensating for the fundamental sparcity of echo data. This was investigated initially since C-scans suffer from the same sparcity of echo data as 3D scans. After the promising results obtained from this system using a number of image processing techniques, a hand-held 3D ultrasound system including hardware and software based on one of the commercial scanners (Dynamic Imaging C2000) has been constructed to extend our study to 3D. A number of test objects in addition to volunteers were scanned to investigate the feasibility of real-time 3D ultrasound imaging. Finally, a specification for real-time ultrasound imaging is discussed.
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Varslot, Trond. "Wavefront aberration correction in medical ultrasound imaging." Doctoral thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1906.

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Medisinsk ultralydavbildning er et relativt rimelig verktøy som er i utstrakte bruk på dagens sykehus og tildels også legekontor. En underliggende antakelse ved dagens avbildningsteknikker er at vevet som skal avbildes i grove trekk er homogent. Det vil i praksis si at de akustiske egenskapene varierer lite. I tilfeller der denne forutsetningen ikke holder vil resultatet bli betraktlig reduksjon av bildekvaliteten. Prosjektet har fokusert på hvordan man best mulig kan korrigere for denne kvalitetsforringelsen. Arbeidet har resultert i et styrket teoretisk rammeverk for modellering, programvare for numerisk simulering. Rammeverket gir en felles forankring for tidligere publiserte metoder som "time-reversal mirror", "beamsum-correlation" og "speckle brightness", og gir derfor en utvidet forståelse av disse metodene. Videre har en ny metode blitt utviklet basert på egenfunksjonsanalyse av et stokastisk tilbakespredt lydfelt. Denne metoden vil potensielt kunne håndtere sterk spredning fra områder utenfor hovedaksen til ultralydstrålen på en bedre måte enn tidligere metoder. Arbeidet er utført ved Institutt for matematiske fag, NTNU, med professor Harald Krogstad, Institutt for matematiske fag, som hovedveileder og professor Bjørn Angelsen, Institutt for sirkulasjon og bildediagnostikk, som medveileder.

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Books on the topic "Ultrasound imaging"

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Sanches, Joao Miguel, Andrew F. Laine, and Jasjit S. Suri, eds. Ultrasound Imaging. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1180-2.

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del Cura, Jose Luís, Pedro Seguí, and Carlos Nicolau, eds. Learning Ultrasound Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30586-3.

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Company, Market Intelligence Research, ed. Ultrasound imaging markets. Mountain View, CA: Market Intelligence Research Co., 1988.

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T, Ahuja Anil, ed. Diagnostic imaging ultrasound. Salt Lake City: Amirysis, 2007.

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M, Tobis Jonathan, and Yock Paul G, eds. Intravascular ultrasound imaging. New York: Churchill Livingstone, 1992.

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A, White Rodney, ed. Intravascular ultrasound imaging. New York: Raven Press, 1993.

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Hanrath, Peter, Rainer Uebis, and Winfried Krebs, eds. Cardiovascular Imaging by Ultrasound. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2490-4.

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Peter, Hanrath, Uebis Rainer 1952-, and Krebs Winfried 1942-, eds. Cardiovascular imaging by ultrasound. Dordrecht: Kluwer, 1993.

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Brant, William E. Ultrasound. Philadelphia, PA: Lippincott Williams & Wilkins, 2003.

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Bruno, Fornage, ed. Musculoskeletal ultrasound. New York: Churchill Livingstone, 1995.

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Book chapters on the topic "Ultrasound imaging"

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Bouffard, J. A., and M. van Holsbeeck. "Ultrasound." In Orthopedic Imaging, 91–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-60295-5_6.

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Schmitz, Georg, and Stefanie Dencks. "Ultrasound Imaging." In Molecular Imaging in Oncology, 135–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42618-7_4.

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Nally, Robert M. "Ultrasound Imaging." In Handbook of Visual Display Technology, 373–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-79567-4_30.

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Azhari, Haim, John A. Kennedy, Noam Weiss, and Lana Volokh. "Ultrasound Imaging." In From Signals to Image, 321–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35326-1_7.

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Lee, Ryan K. L., Stella S. Y. Ho, and James F. Griffith. "Ultrasound Imaging." In Pitfalls in Diagnostic Radiology, 3–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44169-5_1.

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Martorell, Antonio. "Ultrasound Imaging." In Hidradenitis Suppurativa, 69–77. Oxford, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119424291.ch9.

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Haidekker, Mark A. "Ultrasound Imaging." In SpringerBriefs in Physics, 97–110. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7073-1_6.

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Dürr, Werner. "Ultrasound Imaging." In Hysterectomy, 69–94. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-22497-8_5.

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Baessler, Kaven, and Heinz Kölbl. "Ultrasound Imaging." In Pelvic Floor Re-education, 135–43. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84628-505-9_14.

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Pedro, Maria Teresa, and Ralph Werner König. "Ultrasound Imaging." In Diagnostic Assessment and Treatment of Peripheral Nerve Tumors, 59–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77633-6_6.

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Conference papers on the topic "Ultrasound imaging"

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ROBERTS, VC. "INVERSE SCATTER IMAGING." In Ultrasound in Medicine 1986, chair S. LEEMAN. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/22129.

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Sabens, David. "Calcium Imaging of Sonoporation of Mammalian Cells." In THERAPEUTIC ULTRASOUND: 5th International Symposium on Therapeutic Ultrasound. AIP, 2006. http://dx.doi.org/10.1063/1.2205531.

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Ebbini, Emad S. "Two-dimensional Temperature Imaging Using Pulse-Echo Ultrasound." In THERAPEUTIC ULTRASOUND: 5th International Symposium on Therapeutic Ultrasound. AIP, 2006. http://dx.doi.org/10.1063/1.2205445.

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Nikolov, Svetoslav, and Joergen A. Jensen. "Virtual ultrasound sources in high-resolution ultrasound imaging." In Medical Imaging 2002, edited by Michael F. Insana and William F. Walker. SPIE, 2002. http://dx.doi.org/10.1117/12.462178.

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Vilkomerson, David, Thomas Chilipka, John Bogan, John Blebea, Rashad Choudry, John Wang, Michael Salvatore, Vittorio Rotella, and Krishnan Soundararajan. "Implantable ultrasound devices." In Medical Imaging, edited by Stephen A. McAleavey and Jan D'hooge. SPIE, 2008. http://dx.doi.org/10.1117/12.772845.

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Boctor, Emad M., Iulian Iordachita, Gabor Fichtinger, and Gregory D. Hager. "Ultrasound self-calibration." In Medical Imaging, edited by Kevin R. Cleary and Robert L. Galloway, Jr. SPIE, 2006. http://dx.doi.org/10.1117/12.659594.

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Amin, Viren. "HIFU Therapy Planning Using Pre-treatment Imaging and Simulation." In THERAPEUTIC ULTRASOUND: 5th International Symposium on Therapeutic Ultrasound. AIP, 2006. http://dx.doi.org/10.1063/1.2205467.

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Raymond, Scott. "Multiphoton Imaging of Ultrasound Bioeffects in the Murine Brain." In THERAPEUTIC ULTRASOUND: 5th International Symposium on Therapeutic Ultrasound. AIP, 2006. http://dx.doi.org/10.1063/1.2205481.

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Heikkilä, Janne. "Simulations of Localized Harmonic Motion Imaging for Ultrasound Surgery Monitoring." In THERAPEUTIC ULTRASOUND: 5th International Symposium on Therapeutic Ultrasound. AIP, 2006. http://dx.doi.org/10.1063/1.2205446.

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Maynard, J. D. "Resonant ultrasound spectroscopy." In Medical Imaging '98, edited by K. Kirk Shung. SPIE, 1998. http://dx.doi.org/10.1117/12.307994.

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Reports on the topic "Ultrasound imaging"

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Chen, Nan G. Ultrasound Assisted Optical Imaging. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada405393.

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Chen, Nan G., and Quing Zhu. Ultrasound Assisted Optical Imaging. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada416518.

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Erhardt, Paul W. Ultrasound Imaging of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 2008. http://dx.doi.org/10.21236/ada493653.

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Erhardt, Paul W. Ultrasound Imaging of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 2007. http://dx.doi.org/10.21236/ada476996.

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Morimoto, A. K., W. J. Bow, and D. S. Strong. 3D ultrasound imaging for prosthesis fabrication and diagnostic imaging. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/100518.

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Halpern, Ethan J. Intermittent Ultrasound Imaging of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada428523.

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Halpern, Ethan J. Intermittent Ultrasound Imaging of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada410550.

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Halpern, Ethan J. Intermittent Ultrasound Imaging of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada421352.

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Kallman, J., J. Poco, and A. Ashby. Real-Time Ellipsometry-Based Transmission Ultrasound Imaging. Office of Scientific and Technical Information (OSTI), February 2007. http://dx.doi.org/10.2172/902320.

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Forsberg, Flemming. Ultrasound Activated Contrast Imaging for Prostate Cancer Detection. Fort Belvoir, VA: Defense Technical Information Center, March 2005. http://dx.doi.org/10.21236/ada439248.

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