Relevant bibliographies by topics / Real Time Ultrasound

Contents

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

Academic literature on the topic 'Real Time Ultrasound'

Author: Grafiati
Published: 20 February 2023
Last updated: 21 February 2023

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Journal articles on the topic "Real Time Ultrasound"

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HASEGAWA, Junichi, and Toshiyuki HATA. "High-definition real-time ultrasound." Choonpa Igaku 43, no. 3 (2016): 491–95. http://dx.doi.org/10.3179/jjmu.jjmu.r.56.

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Rifkin, Matthew D. "International real-time ultrasound." Ultrasound in Medicine & Biology 12, no. 1 (January 1986): 54. http://dx.doi.org/10.1016/0301-5629(86)90145-6.

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Gerlock, Amil J. "Interventional Real-Time Ultrasound." Radiology 159, no. 3 (June 1986): 630. http://dx.doi.org/10.1148/radiology.159.3.630-b.

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Noble, Joanna R., Matthew P. Fronheiser, and Stephen W. Smith. "Real-Time Stereo 3D Ultrasound." Ultrasonic Imaging 28, no. 4 (October 2006): 245–54. http://dx.doi.org/10.1177/016173460602800404.

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Krackov, Rachel, and Denise Rizzolo. "Real-time ultrasound-guided thoracentesis." Journal of the American Academy of Physician Assistants 30, no. 4 (April 2017): 32–37. http://dx.doi.org/10.1097/01.jaa.0000508210.40675.09.

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Rivaz, Hassan, Emad M. Boctor, Michael A. Choti, and Gregory D. Hager. "Real-Time Regularized Ultrasound Elastography." IEEE Transactions on Medical Imaging 30, no. 4 (April 2011): 928–45. http://dx.doi.org/10.1109/tmi.2010.2091966.

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Pohlable, Mary E., Frank H. Allen, and Merritt E. Nelson. ""Extended Vision" Real-time Ultrasound." Journal of Diagnostic Medical Sonography 2, no. 6 (November 1986): 309–14. http://dx.doi.org/10.1177/875647938600200601.

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Aiger, Dror, and Daniel Cohen-Or. "Real-Time Ultrasound Imaging Simulation." Real-Time Imaging 4, no. 4 (August 1998): 263–74. http://dx.doi.org/10.1006/rtim.1997.0089.

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Palhano Xavier de Fontes, Fernanda, Guillermo Andrade Barroso, Pierrick Coupé, and Pierre Hellier. "Real time ultrasound image denoising." Journal of Real-Time Image Processing 6, no. 1 (May 13, 2010): 15–22. http://dx.doi.org/10.1007/s11554-010-0158-5.

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Winkens, T., T. Opfermann, P. Elsner, I. Runnebaum, A. Darr, and M. Freesmeyer. "Real-time ultrasound and freehand-SPECT." Nuklearmedizin 53, no. 06 (2014): 259–64. http://dx.doi.org/10.3413/nukmed-0680-14-06.

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SummaryAim of this work is to report first experiences of the feasibility and applicability of a hybrid freehandSPECT/ultrasound (fh-SPECT/US) imaging concept, with regard to SLN imaging, in patients with breast cancer and malignant melanoma. Patients, methods: 18 patients with breast cancer or malignant melanoma received standard SLN scintigraphy. Following this, fh-SPECT using declipse®SPECT (SurgicEye, Munich, Germany) was performed, a handheld-gamma camera-based method to visualize activity distribution within a region of interest as a cross-sectional data set. These data were transferred to an ultrasound device and sensor-navigated ultrasound was performed combining fhSPECT data with ultrasound images, displaying superimposed images. Quality of fh- SPECT and co-registration accuracy was assigned to one of four categories and occurrence of artefacts was assessed. Results: In 4/18 examinations, there was a no deviation regarding co-registration of both data sets. For 9/18 patients, there was a deviation of <1 cm (mean 0.7±0.3 cm, range 0.3–1.0 cm). For 3/18 patients, a deviation >1 cm was present (mean 1.7±0.3 cm, range 1.5–2.0 cm). In 2/18 examinations no lymph node was found in the region of highest activity. Fh-SPECT reconstruction artifacts occurred in 6/18 examinations. Conclusion: The fusion imaging concept combining SLN information with ultrasound images presented here proves to be feasible and technically successful. However, significant technical limitations were shown in fh-SPECT quality and fusion precision. Subject to technical optimisation of SPECT quality and co-registration, a meaningful contribution to the preoperative planning of lymph node therapy is imaginable. Thus, fundamentally a preoperative histological examination by fh-SPECT/US-guided biopsy is possible.
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Dissertations / Theses on the topic "Real Time Ultrasound"

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Alloulah, Mohammed. "Real-time tracking for airborne broadband ultrasound." Thesis, Lancaster University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.587053.

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Context refers to a collection of elements with which people associate situations. The location and state of objects in an environment constitute an important subset of context, which has been thoroughly researched and established. By tracking the movement of people and objects within an environment, context-aware applications may be realized, enabling a host of interaction schemes that are intuitive, utilitarian, and fun. Many sensing technologies have been shown to supply tracking services to context-aware systems. These sensing technologies are complementary, and none possesses all desirable tracking attributes for all situations. The preference for the use of a particular tracking technology is often much dependent on the application at hand. Ad hoc, mobile applications are particularly hard to satisfy, given their dynamic nature and the centralized, infrastructure-reliant arrangement of most of the accurate tracking systems available. The first part of this dissertation describes methods for embedded, real-time airborne broad band ultrasonic tracking. The tracker has been built around the assumption of a mobile operation that is deployed ad hoc and upon demand. In order for this to happen, the embedded, real-time operation of sensor nodes has been emphasized. The efficient signalling designs that make way for multiuser, ad hoc tracking deployment have been thoroughly characterized, and shown to perform close to their infrastructure-reliant counterparts. System-level parameterization of tracking is also possible subject to application needs. The remainder of this work shows for the first time in literature that real-time Doppler processing in the airborne broadband ultrasonic modality is possible, whereby velocity inference of mobile nodes is facilitated. Building on advancements from underwater acoustics research, a complex Doppler receiver has been derived and characterized. Its implications on real-time realizations have been studied and characterized utilizing a high-level synthesis architectural exploration methodology. This has revealed that it is feasible to implement real-time Doppler tracking for airborne broadband ultrasound using modern reconfigurable fabrics (i.e. FPGAs). The dissertation concludes by examining the applicability of findings on even more complex forms of processing such as multiuser direction-of-arrival estimation by means of beamforming, and binary Doppler-tolerant reception.
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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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Sundén, Erik. "Real-time DVR Illumination Methods for Ultrasound Data." Thesis, Linköping University, Department of Science and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57540.

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Ultrasound (US) volume data is noisy, so traditional methods for direct volume rendering (DVR) are less appropriate. Improved methods or new techniques are required. There are furthermore a high performance requirement and limited pre-processing to be considered in order for it to be used interactively, since the volume data might be time-varying.

There exist numerous techniques for improving visual perception of volume rendering, and while some perform well and produce a visually enhanced result, many are designed and compared for use with medical data that has a high signal-to-noise ratio. This master thesis describe and compare recent methods for DVR illumination, in the form of ambient occlusion or direct/indirect lighting from an external light source. New designs and modifications are introduced for efficiently and effectively enhancing the visual quality of DVR with US data. Furthermore, this thesis addresses the issue of how clipping is performed during rendering and for the different illumination techniques, which is commonly used in ultrasound visualization.

This diploma work was conducted at Siemens Corporate Research in Princeton, NJ where the partially open source framework XIP is developed. The framework was extended further to include modern methods for DVR illumination that are described in detail within this thesis. Finally, presented results show that several methods can be used to visually enhance the visualization within highly interactive frame-rates.

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Ludvigsen, Holger. "Real-Time GPU-Based 3D Ultrasound Reconstruction and Visualization." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11798.

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Ultrasound scanning is frequently used in medical practice because it is a non-invasive, safe and low-cost solution (vs. CT or MR). However, conventional ultrasound probes only provide 2D scans. 3D ultrasound reconstruction builds 2D scans into 3D volumes of the patient's internals. Since these volumes can be used for acquiring out-of-angle views, 3D rendering of the anatomy, and for image guided surgery, they are rapidly expanding the possible uses of ultrasound. However, the 3D reconstruction process is computationally demanding and includes processing millions of picture and volume elements. This process can currently take minutes or even hours on conventional systems. It is very desirable to reconstruct ultrasound images in real-time to guide surgeons doing surgery. In this thesis, we manage to achieve this by utilizing the parallel processing power of GPUs with hundreds of computing cores. Our novel optimized methods take advantage of this power in order to perform entire volume reconstructions in only fractions of a second. Several optimization techniques have been developed, including only processing the relevant parts of the input. Novel methods for real-time incremental reconstruction producing high-quality results based on advanced interpolation techniques, are also presented. Using our novel pixel-based and voxel-based methods, we are able to generate a volume of 67 million voxels in on 0.9 and 0.6 seconds, respectively. These results are based on the new NVIDIA Fermi GPUs, OpenCL and 434 tracked ultrasound scans. For high-quality incremental reconstruction, real-time processing times are obtained for methods based on distance weighted orthogonal projections and on the probe trajectory (PT). Our GPU implementations give a performance speedup of 14 for pixel-based methods, an impressive 51 for voxel-based methods, and speedup of 6-8 for the incremental methods, compared with single-threaded CPU implementations. The cubic interpolation of the PT method is shown to be superior to the others and preserves the most details. As for possible future work, we point out techniques for handling memory constraints, complex probe movement and the device-to-host transfer bottleneck.
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González, Bellido Eduardo André. "Real-time quantitative sonoelastography in an ultrasound research system." Master's thesis, Pontificia Universidad Católica del Perú, 2017. http://tesis.pucp.edu.pe/repositorio/handle/123456789/9511.

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Quantitative Sono-Elastographie ist eine neue Technologie für die Ultraschall Bildgebung, die Radiologen maligne Tumoren ohne Risiko der strahlungsinduzierten Krebs (d.h. Mammographie) zu erfassen können. Aufgrund gefunden Rechenkomplexität in der aktuellen Algorithmen, Implementierung von Echtzeit-Anwendungen, die Prüfungsverfahren profitieren wurde jedoch noch nicht berichtet. Zusätzlich, aktuelle Schätzer für die Darstellung eine Elastizität Bilder vorhanden Artefakte der hohen Schätzung Varianz, die die Techniker in die Gegenwart steifer Massen irreführen könnten und zwar, falsch-positive Diagnose zu erzeugen. In dieser Arbeit wird eine GPU-basierte Elastographie-System entwickelt und an einem Forschungsultraschallgeräten implementiert. Quantitative Elastizität in Echtzeit bei 2 FPS mit einer Verbesserung Rechenzeitfaktor aus 26 wird gezeigt. Validierung der Systemgenauigkeit Anzeige wurde, auf Gelatinebasis Gewebe Phantome durchgeführt., waren niedrige Vorspannung der Elastizitätswerte berichtet wurde (4,7 %) bei geringe Anregungsfrequenzen nachahmt. Ausserdem wird eine neue Elastizität Schätzer auf quantitative Sono-Elastographie basiert eingeführt. Ein lineares Problem wurde entlang der seitlichen Abmessung modelliert und eine Regularisierung Methode wurde implementieren. Elastizität Bilder mit niedriger Vorspannung wurde darstellen (1,48 %) sowie seine Leistung in einer Brust kalibrierte Phantom mit verbesserter CNR (47,3 dB) im Vergleich mit anderen Schätzer ausgewertet sowie die Verringerung Seiten Artefakte bereits erwähnt in der Literatur (PD: 22,7 dB, 1DH 28,7 dB) gefunden. Diese zwei Beitrag profitieren, die Umsetzung und Entwicklung weiterer Elastographie Techniken, die eine verbesserte Qualität der Elastizität Bilder liefern könnten und somit eine verbesserte Genauigkeit der Diagnose.
Quantitative sonoelastography is an alternative technology for ultrasound imaging that helps radiologist to diagnose malignant tumors with no risk of radiation-induced cancer (i.e. mammography). However, due to the high computational complexity found in the current algorithms, implementation of real-time systems that could benefit examination procedures has not been yet reported. Additionally, elasticity maps depicted from current estimators feature artifacts of high estimation variance that could mislead the technician into the presence of stiffer masses, generating false positive diagnosis. In this thesis, a GPU-based elastography system was designed and implemented on a research ultrasound equipment, displaying quantitative elasticity in real-time at 2 FPS with an improvement computational time factor of 26. Validation of the system accuracy was conducted on gelatin-based tissue mimicking phantoms, where low bias of elasticity values were reported (4.7%) at low excitation frequencies. Additionally, a new elasticity estimator based on quantitative sonoelastography was developed. A linear problem was modeled from the acquired sonolastography data along the lateral dimension and a regularization method was implemented. The resulting elasticity images presented low bias (1.48%), enhanced CNR and reduced lateral artifacts when evaluating the algorithm’s performance in a breast calibrated phantom and comparing it with other estimators found in the literature. These two contribution benefit the implementation and development of further elastography techniques that could provide enhanced quality of elasticity images and thus, improved accuracy of diagnosis.
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Bian, Shuning. "Real-time monitoring of ultrasound and cavitation mediated drug delivery." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:e5a774a9-5b93-4862-8dd9-0614d234ff28.

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Drug delivery plays a crucial role in the chemotherapeutic treatment of cancerous solid tumours. A drug, no matter how potent, is only truly effective when it can be delivered to all targeted cells. In recent years it has been recognised that the poor response of tumours to chemotherapy is in part due to inadequate drug delivery. Numerous strategies have been developed to overcome this issue. Of particular interest to the present work is the application of ultrasound and cavitation, which has been shown to be capable of enhancing drug delivery in solid tumours. These enhancements are attributed to the acoustic cavitation of microbubbles and the effects cavitation induces in the surrounding tissue. To better understand how ultrasound and cavitation can enhance drug delivery, an instrument was developed that is capable of monitoring in real-time and in-situ the effect of ultrasound and cavitation on drugs and drug analogues within flow channel models. The developed instrument was used to investigate the effect of ultrasound and cavitation on drug-eluting beads used for chemoembolisation, the effects of drug loading on microbubble dynamics, the effects produced by different cavitation agents, and the performance of passive acoustic mapping as a means of cavitation monitoring. The findings of the above investigations include: more physiologically relevant characterisations of drug-eluting beads pharmacokinetics, the possibility of significant changes in microbubble dynamics due to drug loading, a lack of general correlation between detected cavitation activity and induced effects, and the potential of passive acoustic mapping for monitoring cavitation and ultrasound induced effects. These and other findings also demonstrate the utility of the developed instrument for studying the many facets and applications of ultrasound and cavitation mediated drug delivery.
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Yuan, Lili. "Feasibility Investigation of Real-time Quantitative Quasi-static Ultrasound Elastography." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-dissertations/175.

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The individual soft tissues in the human body, such as liver, prostate, thyroid and breast, can each be characterized by a set of mechanical properties. Among these properties, the stiffness, or Young’s modulus, is of particular interest, as disease processes or abnormal growths introduce changes in the tissue stiffness. For example, cirrhosis is associated with an increase in stiffness in the affected region(s) of the liver, and the severity has a strong positive correlation with the measured liver tissue stiffness. Although the conventional ultrasound image is produced by changes in acoustic properties, most notably acoustic impedance (equal to density times sound speed), it is in fact possible to measure tissue strain ultrasonically, by performing ultrasound imaging while the tissue region of interest is mechanically perturbed. Although in principle incorrect, such strain imaging methods are commonly referred to as ultrasound elastography imaging. While tissue strain can reveal the presence of stiffness changes, its diagnostic value is limited due to the inability to reveal the magnitude of the stiffness change. Still, strain imaging is a feature on several commercial scanners. There does in fact exist an elegant, but complex and quite expensive, quantitative ultrasound method of imaging the elasticity of soft tissues, called Supersonic Shear imaging (SSI). However, a much lower cost method of quantitatively imaging tissue elasticity would be useful, especially if the method can be implemented with only minor modifications to existing ultrasound scanner design. This dissertation research deals with an attempt of designing and testing such a method. Ultrasound elastography encompasses a number of diverse techniques, roughly categorized by the mechanical perturbation method into two main groups: quasi-static and dynamic methods. Dynamic elastography requires a vibrating source, either separate or integrated with a transducer, making the imaging system cumbersome, especially for the portable systems. Quasi-static elastography only requires conventional ultrasound hardware, however current techniques remain qualitative with unknown stress distribution. This dissertation focuses on the investigation of free hand quantitative quasi-static elastography, aiming to real time assessment. Our proposed low cost real-time ultrasound elastography system is based on determining an axial strain and an axial stress over a region of interest, i.e., an axial strain image and an axial stress image are required. By taking the axial stress/axial strain ratio for each pixel in the image, an actual elasticity image is established. To achieve this goal, our system needs to ultrasonically measure the mechanical strain fast and accurately over a specified image plane; likewise, the system needs to be able to calculate the mechanical stress over the same image plane in real time. Now, the stress imaging will require us to apply a quasi-static force function and also to be able to quantify this force function. There are two major research efforts we have made to implement a low cost real-time ultrasound elastography system. The first important topic of this dissertation involves the development of a novel displacement and strain estimator based on analytical phase tracking (APT), which has been demonstrated to give better performance in terms of accuracy, resolution and computational efficiency (approximately 40 times faster than the standard time domain cross correlation method). The second important topic is the stress field reconstruction, with efforts in: 1) integrate force sensors into a single linear array transducer probe, with the goal of quantifying the applied force function; 2) propose a superposition method based on Love’s analytical equation to calculate the stress distribution, where this solution is computationally fast enough to allow real time stress field estimation; 3) analyze the accuracy of the proposed stress method using finite element analysis as a reference on different simulated phantoms. The final objective is to combine the strain and stress information together for quantitative elastography. Correspondingly, we have implemented experiments to evaluate the method on homogeneous and inhomogeneous phantoms of various types. Results show that this method is able to distinguish medium with different stiffness. We have conducted experiments to study the feasibility and improve the accuracy of this estimation technique based on phantoms with known elasticity. In principle, such a technique could be used to image the distribution of Young’s modulus under quasi-static compression, with specific applications to medical imaging.
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Xiao, Xu. "Real time motion tracking in image guided focused ultrasound intervention." Thesis, University of Dundee, 2014. https://discovery.dundee.ac.uk/en/studentTheses/09406ccb-bafb-4b44-adcb-20c6cc98caae.

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Focused ultrasound surgery (FUS) or high intensity focused ultrasound (HIFU), is a promising technique for less- or non-invasively destroying unhealthy tissue deep inside the body, without damage to the skin or surrounding tissues. The procedure has been performed under both diagnostic ultrasound and MRI guidance. Treating cancers and metastases in the liver that are unresectable is a potential application for FUS. However the respiratory motion hindered FUS treatment of liver to become a completely non-invasive technique. The method is currently limited to breath-hold treatments under general anaesthesia that is uncomfortable for patients. The purpose of this study is to investigate key issues of US and MRI guided real-time target ablation when the target is in free breathing motion state which is similar to human liver motion. For the ultrasound guided focused ultrasound (USgFUS), diagnostic ultrasound B-mode image was used to track a moving target. The possibility of using strain sonoelastography to assess FUS lesion formation was explored. Multi-layered tissue mimicking phantoms were designed and fabricated to mimic the graphical features of tumours in human livers in diagnostic ultrasound images. The phantom was then fixed onto three motion setups: 1) controllable 1D reciprocal motion stage, 2) controllable 2D reciprocal motion stage, and 3) ventilator driven balloon to mimic breath motion. Active snake tracking was developed to follow the moving phantom to evaluate the tracking accuracy and speed. This method can achieve a speed of 5~6 frames/second with an error less than 1.0 mm. Strain sonoelastography is selected to assess lesion formation for FUS. Through comparisons of the elastograms between pre- and post-FUS around the focal zone, useful information about the FUS-induced lesions could be extracted from the elastographic artefacts. The performance of elastography to assess FUS lesion in egg-white Polyacrylamide (PAA) phantoms and fresh sheep livers was tested. The FUS lesions in the experiment samples (PAA phantoms and fresh sheep livers) were recognizable under strain sonoelastography after image processing. For MRI guided focused ultrasound (MRgFUS), a moving target with similar graphical features of tumours in human liver was tracked via analysing MRI scans. Then letting the ultrasound beam lock onto a moving target was realized via beam-steering by a phased-array HIFU transducer. An MR compatible robotic arm-INNOMOTION was introduced. A fast localization method was developed to make the robotic arm guided HIFU transducer more efficiently. What is more, it becomes a controllable reciprocal moving setup for investigating the raised issues of MRgFUS for motion tracking in this study. Two normal volunteers were scanned via MR scanner. The data was used to 1) design tissue mimicking phantoms with similar graphical features to the volunteer livers, 2) design respiratory motion simulator based on the estimated liver motion parameters, 3) and develop motion tracking algorithm based on the image features of the volunteer livers. The tissue mimicking phantoms appeared to be similar to the structures of volunteer livers in the MR echo planar imaging (EPI) scans. An experiment setup, in which the tissue mimicking phantoms was controlled to move reciprocally, was designed. The off-line MATLAB algorithm based on cross correlation proved to have an acceptable error less than 1.0 mm. A synchronization system between the target motion and beam-steering was built. Several key problems for motion tracking were studied including how to realize beam-steering with a phased-array transducer, how to map target location in the MR frame to the focus position in the transducer frame, and how to use a step-by-step local sonication series to approximate continuous beam-steering. The system’s performance was tested with a series of sonications, in which temperature rises were compared between when the target was moving with and without tracking. A primary conclusion can be made that tracking could decrease the impact of target movement in focused ultrasound ablation. Tracking could be considered as a compensatory method to liver motion caused by respiration during MRgFUS treatment. In conclusion, the thesis proposed a promising research direction to solve the issue of target motion in FUS treatment of human livers and other abdominal organs. The study achieved the target motion tracking both with diagnostic ultrasound and MRI guidance. The focus steering of HIFU transducer was realized accordingly in the MRgFUS, which can allow the focused ultrasound beam to follow a moving target. The strain sonoelastography had proved to become a potential method to assess FUS lesion formation. This study also brings more issues to be solved, e.g. the noise in diagnostic ultrasound during USgFUS tracking, real-time sonoelastography monitoring lesion formation, and new MRI thermometry that is less susceptible to target motion. The real-time image guided FUS would be more promising by overcoming these technical difficulties.
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Hazard, Christopher R. "Real-time three-dimensional ultrasound imaging using synthetic aperture beamforming." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486399160107451.

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Royer, Lucas. "Real-time tracking of deformable targets in 3D ultrasound sequences." Thesis, Rennes, INSA, 2016. http://www.theses.fr/2016ISAR0017/document.

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De nos jours, les traitements mini-invasifs, tels que l'ablation par radiofréquence, sont de plus en plus utilisés car ils permettent d'éliminer localement les tumeurs à partir de l'insertion d'une aiguille. Cependant, le succès de ces procédures dépend de la précision du positionnement de l'aiguille par rapport aux structures anatomiques. Afin de garantir un placement correct, l'imagerie échographique est souvent utilisée car elle a l'avantage d'être temps-réelle, bas coût, et non-invasive. En revanche, celle modalité peut compliquer la visualisation de certaines structures en raison de sa qualité et de son champ de vue limité. En outre, la précision des interventions peut aussi être perturbée par les déplacements de tissus liés aux mouvements physiologiques du patient et à la manipulation d'instruments médicaux. Afin d'aider le chirurgien à mieux cibler certaines structures anatomiques, de nombreuses équipes de recherche ont proposé des travaux permettant d'estimer la position de régions d'intérêts dans l'imagerie échographique. Cette thèse propose plusieurs contributions permettant de suivre en temps réel des structures déformables dans des séquences d'échographie 3D. Une première contribution repose sur l'utilisation conjointe de l'information visuelle dense et d'une méthode de simulation physique. Dans cette thèse, nous avons aussi proposé un nouveau critère de similarité spécifique à l'imagerie échographique basé sur une étape de détection d'ombres. Enfin, la dernière contribution est liée à une stratégie de suivi hybride permettant d'améliorer la qualité des images. A partir de ces contributions, nous proposons une méthode de suivi robuste au bruit de type« speckle », aux ombres et aux changements d'intensité perturbant l'imagerie échographique. Les performances des différentes contributions sont évaluées à partir de données simulées et de données acquises sur maquettes et sur volontaires humains. Ces résultats montrent que notre méthode est robuste à différents artefacts de l'imagerie échographique. En outre, nous démontrons la performance de notre approche par rapport à différentes méthodes de l'état de l'art sur des bases de données publiques fournies par les challenges MICCAI CLUST'14 et CLUST'15. Dans cette thèse, nous proposons également une application permettant de combiner l'imagerie échographique à l'imagerie par résonance magnétique (IRM). Cette méthode permet d'observer des structures anatomiques non-visibles dans l'imagerie échographique durant l'intervention. Elle est basée sur la combinaison d'une méthode de suivi et d'un recalage multi-modal obtenu à partir d'un système de localisation externe. Cette application a été évaluée sur un volontaire sain à partir d'une plateforme liée au centre Hospitalier Universitaire de Rennes
Nowadays, mini-invasive treatments, such as radio-frequency ablation, are increasingly being used because they allow eliminating tumors locally from needle insertion. However, the success of these therapies depends on the accurate positioning of the needle with respect to anatomical structures. To ensure correct placement, ultrasound (US) imaging is often used since this system has the advantage to be real-time, low-cost, and non-invasive. However, during the intervention, US imaging can complicate the visualization of targeted structures due to its poor quality and its limited field of view. Furthermore, the accuracy of these interventions may also be perturbed by both physiological movements and medical tools displacements that introduce motions of anatomical structures. To help the surgeon to better target malignant tissues, many research teams have proposed different method in order to estimate the position of regions of interest in ultrasound imaging. This thesis provides several contributions that allow tracking deformable structures in 3D ultrasound sequences. We first present a method that allows providing robust estimation of target positions by combining an intensity-based approach and mechanical model simulation. In this thesis, we also propose novel ultrasound-specific similarity criterion based on prior step that aims at detecting shadows. The last contribution is related to a hybrid tracking strategy that allows improving quality of ultrasound images. From these contributions, we propose a tracking method that has the advantage to be invariant to speckle noise, shadowing and intensity changes that can occur in US imaging. The performance and limitations of the proposed contributions are evaluated through simulated data, phantom data, and real-data obtained from different volunteers. Simulation and phantom results show that our method is robust to several artefacts of US imaging such as shadows and speckle decorrelation. Furthermore, we demonstrate that our approach outperforms state-of-the-art methods on the 3D public databases provided by MICCAI CLUST'14 and CLUST'15 challenges. In this thesis, we also propose an application that combines ultrasound imaging to Magnetic Resonance lmaging (MRI). This method allows observing anatomical structures that are not visible in US imaging during the intervention. It is based on the combination between US tracking method and multi modal registration obtained from external localization system. This application was evaluated on a volunteer thanks to an MRJ imaging platform locate at the University Hospital of Rennes
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Books on the topic "Real Time Ultrasound"

1

Weiss, Hagen. Ultrasound atlas: Real-time ultrasound imaging in internal medicine. Weinheim: VCH, 1986.

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1935-, Watanabe Hiroki, and Makuuchi Masatoshi, eds. Interventional real-time ultrasound. Tokyo: Igaku-Shoin, 1985.

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Weiss, Hagen. Ultrasound atlas: Diagnostic ultrasound using real-time scanners. VCH, 1986.

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Weiss, A. Ultrasound Atlas: Real-Time Ultrasound Imaging in Internal Medicine. VCH Publishing, 1986.

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Kobayashi, Mitsunao. Real-Time Ultrasound in Obstetrics and Gynecology. Igaku-Shoin Medical Pub, 1988.

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Skolnick, M. L. Real-time Ultrasound Imaging in the Abdomen. Springer, 2011.

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Skolnick, M. L. Real-Time Ultrasound Imaging in the Abdomen. Springer, 2012.

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Wells, Toby, and Simon J. Freeman. Ultrasound. Edited by Christopher G. Winearls. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0013.

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Ultrasound assists nephrologists in many situations. It is essential in excluding obstruction as the cause of acute kidney injury, but it also helps to reach other diagnoses and guides interventions such as renal biopsy and placement of lines for dialysis and evaluating dialysis fistulae. It is the imaging technique of choice in assessing renal transplants. It has advantages: it does not involve ionizing radiation, allows rapid real-time imaging, is relatively inexpensive, and can be performed at the patient’s bedside. Ultrasound is the primary imaging modality in paediatric radiology for most conditions, largely because it does not involve ionizing radiation. The strengths and limitations of ultrasound need to be understood to ensure that the technique is applied appropriately.
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Wells, Toby, and Simon J. Freeman. Ultrasound. Edited by Michael Weston. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0132.

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Ultrasound is an invaluable tool in the diagnosis and management of many urological disorders. It has the advantages of not involving ionizing radiation, allowing rapid real time imaging and being relatively inexpensive. It can also be performed at the patient’s bedside if necessary. There are limitations, however, and it is best used as an adjunct to clinical assessment, often alongside other complementary imaging modalities. While many ultrasound studies are undertaken by urological surgeons, it is often performed by imaging specialists; close liaison between these two groups is essential. A brief, clinically relevant, introduction to ultrasound physics is included and the use of Doppler techniques and ultrasound contrast agents will be discussed. It is not possible to cover all the urological conditions for which ultrasound is used in one chapter, so some recommended texts are included in the reading list for further study.
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Kane, David, and Philip Platt. Ultrasound. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0067.

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Musculoskeletal ultrasound (MSUS) is rapidly becoming a standard part of many rheumatologists' daily clinical practice. MSUS is safe, increasingly widely available, relatively low cost, non-invasive, and hence very acceptable to the patient. Current problems with availability of training, mentoring, and accreditation procedures need to be overcome for MSUS to reach its full potential for rheumatologists. MSUS is capable of improving clinical diagnosis and the accuracy of intervention. MSUS is more sensitive than clinical examination in the detection of synovitis and effusion and is capable of rapid targeted assessment of widely spaced joints coupled with clinical correlation. MSUS has advantages over other imaging modalities; the ability to display dynamic real-time movement makes it the imaging modality of choice for tendon problems. It is significantly more sensitive than plain radiology in the demonstration of early erosive changes, and although its sensitivity is less than that of MRI for the detection of erosions it is far more practical, timely, and available. The combination of sensitivity in detection of synovitis, tenosynovitis, and erosions makes it an ideal imaging modality in the context of an early arthritis clinic. Power Doppler has been shown to be an effective way of evaluating synovitis and hence is of value in early diagnosis and monitoring of inflammatory arthritides. The accuracy of placement of local injection therapies is enhanced by MSUS, and it significantly increases the diagnostic success rate of aspiration of joints and bursas. The flexibility of ultrasound as a tool for rheumatologists is shown by its application in the assessment of vasculitides, peripheral nerve pathology, salivary glands, and skin lesions.
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Book chapters on the topic "Real Time Ultrasound"

1

Roelandt, J., and P. W. Serruys. "Intraluminal real-time ultrasonic imaging: Clinical perspectives." In Intravascular ultrasound, 89–97. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1007-2_2.

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Duan, Qi, Andrew F. Laine, and Jasjit S. Suri. "Real-Time 4D Cardiac Segmentation by Active Geometric Functions." In Ultrasound Imaging, 225–53. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1180-2_10.

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Duan, Qi, Andrew F. Laine, and Jasjit S. Suri. "Erratum To: Real-Time 4D Cardiac Segmentation by Active Geometric Functions." In Ultrasound Imaging, E1. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1180-2_15.

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Preston, R. C. "Real-Time Scanning Systems Part 2: Measurements." In Output Measurements for Medical Ultrasound, 145–60. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-1883-1_10.

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Pazmiño, Pat. "ultraBBL: Brazilian Butt Lift Using Real-Time Intraoperative Ultrasound Guidance." In Ultrasound-Assisted Liposuction, 147–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26875-6_10.

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Boctor, Emad M., Iulian Iordachita, Gabor Fichtinger, and Gregory D. Hager. "Real-Time Quality Control of Tracked Ultrasound." In Lecture Notes in Computer Science, 621–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11566465_77.

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Brattain, Laura J., and Robert D. Howe. "Real-Time 4D Ultrasound Mosaicing and Visualization." In Lecture Notes in Computer Science, 105–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23623-5_14.

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Blankenship, Tim. "Real-Time Enhancement of Medical Ultrasound Images." In Acoustical Imaging, 187–95. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-0725-9_18.

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Prager, Richard, Andrew Gee, and Laurence Berman. "Real-time tools for freehand 3D ultrasound." In Medical Image Computing and Computer-Assisted Intervention — MICCAI’98, 1016–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056290.

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Hussey, Matthew. "Dynamic (Real-Time) B-Mode Scanning." In Basic Physics and Technology of Medical Diagnostic Ultrasound, 108–19. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-17737-0_7.

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Conference papers on the topic "Real Time Ultrasound"

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Bae, Unmin, and Yongmin Kim. "Real-time ultrasound elastography." In Medical Imaging, edited by Stanislav Y. Emelianov and Stephen A. McAleavey. SPIE, 2007. http://dx.doi.org/10.1117/12.710130.

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Khoshniat, Mahdieh, Meghan L. Thorne, Tamie L. Poepping, David W. Holdsworth, and David A. Steinman. "Real-time virtual Doppler ultrasound." In Medical Imaging 2004, edited by William F. Walker and Stanislav Y. Emelianov. SPIE, 2004. http://dx.doi.org/10.1117/12.535490.

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Ponomaryov, Volodymyr I., Ruben Sansores-Pech, and Francisco Gallegos-Funes. "Real-time 3D ultrasound imaging." In Electronic Imaging 2005, edited by Nasser Kehtarnavaz and Phillip A. Laplante. SPIE, 2005. http://dx.doi.org/10.1117/12.584194.

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Smith, Stephen W. "Integrated Interventional Devices For Real Time 3D Ultrasound Imaging and Therapy." In THERAPEUTIC ULTRASOUND: 5th International Symposium on Therapeutic Ultrasound. AIP, 2006. http://dx.doi.org/10.1063/1.2205500.

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Xiao, Xu, Boda Ning, Zhihong Huang, George Corner, Sandy Cochran, and Andreas Melzer. "Focused ultrasound ablation using real time ultrasound image guidance." In 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/bmei.2011.6098768.

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El-Tager, Mostafa A., Ehab A. El-Alamy, Amir S. Mahdy, Islam Youssef, Medhat N. El-Dien, and Yasser M. Kadah. "K10. Embedded real time ultrasound system." In 2012 29th National Radio Science Conference (NRSC). IEEE, 2012. http://dx.doi.org/10.1109/nrsc.2012.6208585.

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Evertsson, Maria, Alessandro Ramalli, Theo Z. Pavan, Luciana C. Cabrelli, Roger Andersson, Magnus Cinthio, Piero Tortoli, and Tomas Jansson. "Towards real-time magnetomotive ultrasound imaging." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092229.

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Evertsson, Maria, Alessandro Ramalli, Theo Z. Pavan, Luciana C. Cabrelli, Roger Andersson, Magnus Cinthio, Piero Tortoli, and Tomas Jansson. "Towards real-time magnetomotive ultrasound imaging." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092548.

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von Ramm, Olaf T., and Stephen W. Smith. "Real-time volumetric ultrasound imaging system." In Medical Imaging '90, Newport Beach, 4-9 Feb 90, edited by Roger H. Schneider. SPIE, 1990. http://dx.doi.org/10.1117/12.18779.

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Chimiak, William J., Neil T. Wolfman, and Wesley Covitz. "Clinical experience with real-time ultrasound." In Medical Imaging 1995, edited by R. Gilbert Jost and Samuel J. Dwyer III. SPIE, 1995. http://dx.doi.org/10.1117/12.208820.

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Reports on the topic "Real Time Ultrasound"

1

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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Littlefield, Richard J. Real-Time 3D Ultrasound for Physiological Monitoring 22258. Fort Belvoir, VA: Defense Technical Information Center, October 1999. http://dx.doi.org/10.21236/ada373262.

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Tait, Richard G., Gene H. Rouse, P. B. Wall, W. Darrell Busby, and Dallas L. Maxwell. Real-time Ultrasound and Performance Measures to Assist in Feedlot Cattle Sorting for Marketing Decisions. Ames (Iowa): Iowa State University, January 2004. http://dx.doi.org/10.31274/ans_air-180814-415.

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Schwab, Clint R., and Thomas J. Baas. Development of a Model to Predict Intramuscular Fat in Live Pigs Using Real-Time Ultrasound. Ames (Iowa): Iowa State University, January 2006. http://dx.doi.org/10.31274/ans_air-180814-810.

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Tait, Richard G., Gene H. Rouse, P. B. Wall, W. Darrell Busby, and D. Maxwell. Real-time Ultrasound and Performance Measures to Assist in Feedlot Cattle Sorting for Marketing Decisions. Ames: Iowa State University, Digital Repository, 2004. http://dx.doi.org/10.31274/farmprogressreports-180814-579.

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Dahlke, Garland R. Revalidation of a REA, IMF and BF Projection Model Using Real-time Ultrasound Imaging and Feeding Data in Cattle. Ames (Iowa): Iowa State University, January 2012. http://dx.doi.org/10.31274/ans_air-180814-111.

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Ribeiro, Flavio, Richard G. Tait, Gene H. Rouse, Doyle E. Wilson, and W. Darrell Busby. The Accuracy of Real-Time Ultrasound Measurements for Body Composition Traits with Carcass Traits in Feedlot Heifers. Ames (Iowa): Iowa State University, January 2006. http://dx.doi.org/10.31274/ans_air-180814-573.

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Tait, Richard G., C. Lukavsky, Gene H. Rouse, Doyle E. Wilson, and Abebe T. Hassen. Influence of Hide Thickness on the Ability to Predict Percent Intramuscular Fat with Real-time Ultrasound in Beef Cattle. Ames (Iowa): Iowa State University, January 2004. http://dx.doi.org/10.31274/ans_air-180814-425.

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Morkun, Vladimir S., Natalia V. Morkun, and Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3757.

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For programming the AR tools, interactive objects and creating the markers, the method of fiber spaces (k-space) for modeling of ultrasonic wave propagation in an inhomogeneous medium using coarse grids, with maintaining the required accuracy was used. The algorithm and tools of augmented reality were introduced into the adaptive control system of the pulp gas phase in the iron ore flotation process using a control action on the basis of high-energy ultrasound dynamic effects generated by ultrasonic phased arrays. The tools of augmented reality based on k-space methods allow to facilitate wider adoption of ultrasound technology and visualize the ultra-sound propagation in heterogeneous media by providing a specific correspondence between the ultrasound data acquired in real- time and a sufficiently detailed augmented 3D scene. The tools of augmented reality allow seeing the field of ultrasound propagation, its characteristics, as well as the effect of the dynamic effects of ultrasound on the change in the gas phase during the flotation process.
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