Relevant bibliographies by topics / Ultrasonic imaging – Data processing

Contents

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

Academic literature on the topic 'Ultrasonic imaging – Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Ultrasonic imaging – Data processing"

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Krieg, F., J. Kirchhof, S. Kodera, S. Lugin, A. Ihlow, T. Schwender, G. del Galdo, F. Römer, and A. Osman. "SAFT processing for manually acquired ultrasonic measurement data with 3D smartInspect." Insight - Non-Destructive Testing and Condition Monitoring 61, no. 11 (November 1, 2019): 663–69. http://dx.doi.org/10.1784/insi.2019.61.11.663.

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The architecture and implementation of a system for synthetic aperture focusing technique (SAFT) reconstruction on ultrasonic data acquired using a hand-held device is described. The reconstruction and the measurement process are performed simultaneously, with the goal of providing instantaneous highly focused visual feedback to the engineer. The implementation is based on the 3D smartInspect system that is currently being developed at Fraunhofer Institute for Nondestructive Testing IZFP. This system assists engineers by recording, displaying and protocolling manually acquired data. In this paper, it is shown that it is possible to enhance this system by adding simultaneous SAFT processing on top of the existing functionality. This improves the imaging quality of the system. Possible limitations on the imaging quality are investigated by real-world hardware set-ups using numerical studies.
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Mayer, Klaus, Karl-Jörg Langenberg, Martin Krause, Boris Milmann, and Frank Mielentz. "Characterization of Reflector Types by Phase-Sensitive Ultrasonic Data Processing and Imaging." Journal of Nondestructive Evaluation 27, no. 1-3 (July 1, 2008): 35–45. http://dx.doi.org/10.1007/s10921-008-0035-3.

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Gao, Xiao Ming. "The Implement of B-Ultrasonic Image Acquisition Based on Camera Interface." Applied Mechanics and Materials 513-517 (February 2014): 3801–4. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3801.

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B-ultrasonic is widely used in medical diagnostics and other fields, because of its non-invasive, no radiation, etc. Early B-ultrasonic with analog imaging system cant achieve B-ultrasonic image processing, data storage and other operations. With the development of computer technology and electronic technology, Digital B-ultrasonic systems are increasingly used in actual diagnosis, the paper through the use of digital imaging system to achieve B-ultrasonic front ultrasound imaging, reuse embedded microcontrollers Camera interface for B-ultrasonic acquisition of image data, and on this platform to achieve a B-ultrasonic application software development. System testing show that the system data acquisition is stability, and easy to operate, reliable, also can be widely used in medical and industrial ultrasonic fields. Key words: B-ultrasonic; Data Acquisition; Camera; Digitizing
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Gehlbach, Steve M., and F. Graham Sommer. "Frequency Diversity Speckle Processing." Ultrasonic Imaging 9, no. 2 (April 1987): 92–105. http://dx.doi.org/10.1177/016173468700900202.

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Ultrasonic waveform data from a tissue-mimicking phantom containing low contrast targets was digitized, stored and processed prior to creating and displaying ultrasonic images. Speckle reduction was performed by digital filtering of the waveform data with appropriately spaced and weighted digital filters, prior to both coherent and incoherent image averaging. The resultant images showed increased signal-to-noise ratios, consistent with theory. Better definition of low contrast target boundaries was noted in the processed, compared to unprocessed, images. Incoherent and coherent processing were investigated, and appeared to be equivalent.
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Hoyle, C., M. Sutcliffe, P. Charlton, S. Mosey, and I. Cooper. "Limited-angle ultrasonic tomography back-projection imaging." Insight - Non-Destructive Testing and Condition Monitoring 63, no. 1 (January 1, 2021): 20–28. http://dx.doi.org/10.1784/insi.2021.63.1.20.

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Ultrasonic inspection of through-transmission is limited due to the inability to obtain defect depth information. Loss of signal is used as the only indicator, providing lateral defect information. This is often a problem in ultrasonic inspection. Radiographic acquisition techniques, where the X-ray source acts as the transmitter and the detector as the receiver, are conceptionally similar to ultrasonic through-transmission. In the latter, the tomography back-projection method is used to reconstruct images of an object that has been subjected to a minimum of 180° of rotation, to allow for full coverage of the item. In this paper, a novel approach based on back-projection is presented to improve image resolution and defect detectability. Two ultrasonic transducers in through-transmission configuration are utilised to capture data for image processing. The rotation of the transmitter and receiver is not possible in this set-up and, therefore, the reconstruction relies on the artificial generation of a limited rotation. Two probes are aligned either side of the material and are used to gather the ultrasonic signals. These signals are processed before the reconstruction algorithm is applied to them. Various processing and imaging reconstruction algorithms are explored, building on the basic back-projection method to obtain images that are better focused. This technique could be used within materials where there are high attenuation levels and, therefore, traditional pulse-echo is not feasible.
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Deng, Yufeng, Ned C. Rouze, Mark L. Palmeri, and Kathryn R. Nightingale. "Ultrasonic Shear Wave Elasticity Imaging Sequencing and Data Processing Using a Verasonics Research Scanner." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 64, no. 1 (January 2017): 164–76. http://dx.doi.org/10.1109/tuffc.2016.2614944.

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Naik, H. Rama Murthy, J. Jerald, and N. Rajesh Mathivanan. "Impact Damage Detection in GFRP Laminates through Ultrasonic Imaging." Advanced Materials Research 585 (November 2012): 337–41. http://dx.doi.org/10.4028/www.scientific.net/amr.585.337.

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Composite materials are increasingly used in aerospace, naval and automotive vehicles due to their high specific strength and stiffness. In the area of Non destructive testing, ultrasonic C-scans are used frequently to detect defects in composite components caused during fabrication and damage resulting from service conditions. Ultrasonic testing uses transmission of high frequency sound waves into a material to detect imperfections or to locate changes in material properties. The most commonly used ultrasonic testing technique is pulse echo and through transmission wherein sound is introduced into a test object and reflections (echoes) are returned to a receiver from internal imperfections. Under low-velocity impact loading delaminating is observed to be a major failure mode. This report presents the use of above two techniques to detect the damage in glass fiber reinforced plastic (GFRP) laminates. Pulse echo is used to locate the exact position of damage and through transmission is used to know the magnitude of damage in composite. This paper work will be carried out on two different thicknesses and at impact energy levels varying from 7 to 53J. The ensuring delamination damage will be determined by ultrasonic C-scans using the pulse-echo immersion method for through transmission. Delamination areas were quantified accurately by processing the raw image data using a digital image processing technique. Based on the data obtained, correlation will be established between the delamination area and the impact energy.
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Ma, Hong Wei, Ming Dong, Yuan Chen, and Qing Hua Mao. "Development of Ultrasonic Automatic Testing System for Flaws of Rotary Parts." Applied Mechanics and Materials 128-129 (October 2011): 575–79. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.575.

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In order to conquer the disadvantages of undetection, misjudgment and low-efficiency in ultrasonic A-scan testing for rotary parts, an ultrasonic automatic imaging system was developed, and automatic scan device was specially designed for rotary parts. Moreover, the testing software was programmed by LabWindows/CVI, which achieves the acquisition and processing of ultrasonic signals, and displays A, B, C, D and P-scan image. On the basis of storing A-scan data and transforming non-isotropic resolution B-scan image into isotropic one, P-scan imaging is realized. Medium filtering was applied to A-scan signal and C-scan image and the Signal-to-Noise is improved. The experimental results show that this system has well achieved numeralization, automatization and imaging of ultrasonic testing.
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Müller, Sabine, Ernst Niederleithinger, and Thomas Bohlen. "Reverse Time Migration: A Seismic Imaging Technique Applied to Synthetic Ultrasonic Data." International Journal of Geophysics 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/128465.

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Ultrasonic echo testing is a more and more frequently used technique in civil engineering to investigate concrete building elements, to measure thickness as well as to locate and characterise built-in components or inhomogeneities. Currently the Synthetic Aperture Focusing Technique (SAFT), which is closely related to Kirchhoff migration, is used in most cases for imaging. However, this method is known to have difficulties to image steeply dipping interfaces as well as lower boundaries of tubes, voids or similar objects. We have transferred a processing technique from geophysics, the Reverse Time Migration (RTM) method, to improve the imaging of complicated geometries. By using the information from wide angle reflections as well as from multiple events there are fewer limitations compared to SAFT. As a drawback the required computing power is significantly higher compared to the techniques currently used. Synthetic experiments have been performed on polyamide and concrete specimens to show the improvements compared to SAFT. We have been able to image vertical interfaces of step-like structures as well as the lower boundaries of circular objects. It has been shown that RTM is a step forward for ultrasonic testing in civil engineering.
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Liang, Haidong-Dong, Chun Sing Louis Tsui, Michael Halliwell, and Peter N. T. Wells. "Continuous wave ultrasonic Doppler tomography." Interface Focus 1, no. 4 (June 2011): 665–72. http://dx.doi.org/10.1098/rsfs.2011.0018.

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In continuous wave ultrasonic Doppler tomography (DT), the ultrasonic beam moves relative to the scanned object to acquire Doppler-shifted frequency spectra which correspond to cross-range projections of the scattering and reflecting structures within the object. The relative motion can be circular or linear. These data are then backprojected to reconstruct the two-dimensional image of the object cross section. By using coherent processing, the spatial resolution of ultrasonic DT is close to an order of magnitude better than that of traditional pulse-echo imaging at the same ultrasound frequency.
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Dissertations / Theses on the topic "Ultrasonic imaging – Data processing"

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Gorfu, Yonael. "Development of a low power ultrasonic data acquisition and imaging system." Thesis, University of Strathclyde, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314583.

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Zhao, Fangwei. "Multiresolution analysis of ultrasound images of the prostate." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2004. http://theses.library.uwa.edu.au/adt-WU2004.0028.

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[Truncated abstract] Transrectal ultrasound (TRUS) has become the urologist’s primary tool for diagnosing and staging prostate cancer due to its real-time and non-invasive nature, low cost, and minimal discomfort. However, the interpretation of a prostate ultrasound image depends critically on the experience and expertise of a urologist and is still difficult and subjective. To overcome the subjective interpretation and facilitate objective diagnosis, computer aided analysis of ultrasound images of the prostate would be very helpful. Computer aided analysis of images may improve diagnostic accuracy by providing a more reproducible interpretation of the images. This thesis is an attempt to address several key elements of computer aided analysis of ultrasound images of the prostate. Specifically, it addresses the following tasks: 1. modelling B-mode ultrasound image formation and statistical properties; 2. reducing ultrasound speckle; and 3. extracting prostate contour. Speckle refers to the granular appearance that compromises the image quality and resolution in optics, synthetic aperture radar (SAR), and ultrasound. Due to the existence of speckle the appearance of a B-mode ultrasound image does not necessarily relate to the internal structure of the object being scanned. A computer simulation of B-mode ultrasound imaging is presented, which not only provides an insight into the nature of speckle, but also a viable test-bed for any ultrasound speckle reduction methods. Motivated by analysis of the statistical properties of the simulated images, the generalised Fisher-Tippett distribution is empirically proposed to analyse statistical properties of ultrasound images of the prostate. A speckle reduction scheme is then presented, which is based on Mallat and Zhong’s dyadic wavelet transform (MZDWT) and modelling statistical properties of the wavelet coefficients and exploiting their inter-scale correlation. Specifically, the squared modulus of the component wavelet coefficients are modelled as a two-state Gamma mixture. Interscale correlation is exploited by taking the harmonic mean of the posterior probability functions, which are derived from the Gamma mixture. This noise reduction scheme is applied to both simulated and real ultrasound images, and its performance is quite satisfactory in that the important features of the original noise corrupted image are preserved while most of the speckle noise is removed successfully. It is also evaluated both qualitatively and quantitatively by comparing it with median, Wiener, and Lee filters, and the results revealed that it surpasses all these filters. A novel contour extraction scheme (CES), which fuses MZDWT and snakes, is proposed on the basis of multiresolution analysis (MRA). Extraction of the prostate contour is placed in a multi-scale framework provided by MZDWT. Specifically, the external potential functions of the snake are designated as the modulus of the wavelet coefficients at different scales, and thus are “switchable”. Such a multi-scale snake, which deforms and migrates from coarse to fine scales, eventually extracts the contour of the prostate
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Wylie, Stephen Robert. "An underwater ultrasonic imaging system." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266220.

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Basoglu, Chris. "A generalized programmable system and efficient algorithms for ultrasound backend processing /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/5978.

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曾偉明 and Wai-ming Peter Tsang. "Computer aided ultrasonic flaw detection and characterization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1987. http://hub.hku.hk/bib/B31231007.

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Lai, Di. "Independent component analysis (ICA) applied to ultrasound image processing and tissue characterization /." Online version of thesis, 2009. http://hdl.handle.net/1850/11367.

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Brand, Ulrich. "Optical data processing in high-NA imaging." Thesis, King's College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393167.

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Bañuelos, Saucedo Miguel Angel. "Signal and data processing for THz imaging." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/signal-and-data-processing-for-thz-imaging(58a646f3-033b-4771-b1dc-d1f9fc6dfbf0).html.

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This thesis presents the research made on signal and data processing for THz imaging, with emphasis in noise analysis and tomography in amplitude contrast using a THz time-domain spectrometry system. A THz computerized tomography system was built, tested and characterized. The system is controlled from a personal computer using a program developed ad hoc. Detail is given on the operating principles of the system’s numerous optical and THz components, the design of a computer-based fast lock-in amplifier, the proposal of a local apodization method for reducing spurious oscillations in a THz spectrum, and the use of a parabolic interpolation of integrated signals as a method for estimating THz pulse delay. It is shown that our system can achieve a signal-to-noise ratio of 60 dB in spectrometry tests and 47 dB in tomography tests. Styrofoam phantoms of different shapes and up to 50x60 mm is size are used for analysis. Tomographic images are reconstructed at different frequencies from 0.2 THz to 2.5 THz, showing that volume scattering and edge contrast increase with wavelength. Evidence is given that refractive losses and surface scattering are responsible of high edge contrast in THz tomography images reconstructed in amplitude contrast. A modified Rayleigh roughness factor is proposed to model surface transmission scattering. It is also shown that volume scattering can be modelled by the material’s attenuation coefficient. The use of 4 mm apertures as spatial filters is compared against full beam imaging, and the limitations of Raleigh range are also addressed. It was estimated that for some frequencies between 0.5 THz and 1 THz the Rayleigh range is enough for the tested phantoms. Results on the influence of attenuation and scattering at different THz frequencies can be applied to the development of THz CW imaging systems and as a point of departure for the development of more complex scattering models.
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Rydell, Joakim. "Advanced MRI Data Processing." Doctoral thesis, Linköping : Department of Biomedical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10038.

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R, S. Umesh. "Algorithms for processing polarization-rich optical imaging data." Thesis, Indian Institute of Science, 2004. http://hdl.handle.net/2005/96.

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This work mainly focuses on signal processing issues related to continuous-wave, polarization-based direct imaging schemes. Here, we present a mathematical framework to analyze the performance of the Polarization Difference Imaging (PDI) and Polarization Modulation Imaging (PMI). We have considered three visualization parameters, namely, the polarization intensity (PI), Degree of Linear Polarization (DOLP) and polarization orientation (PO) for comparing these schemes. The first two parameters appear frequently in literature, possibly under different names. The last parameter, polarization orientation, has been introduced and elaborated in this thesis. We have also proposed some extensions/alternatives for the existing imaging and processing schemes and analyzed their advantages. Theoretically and through Monte-Carlo simulations, we have studied the performance of these schemes under white and coloured noise conditions, concluding that, in general, the PMI gives better estimates of all the parameters. Experimental results corroborate our theoretical arguments. PMI is shown to give asymptotically efficient estimates of these parameters, whereas PDI is shown to give biased estimates of the first two and is also shown to be incapable of estimating PO. Moreover, it is shown that PDI is a particular case of PMI. The property of PDI, that it can yield estimates at lower variances has been recognized as its major strength. We have also shown that the three visualization parameters can be fused to form a colour image, giving a holistic view of the scene. We report the advantages of analyzing chunks of data and bootstrapped data under various circumstances. Experiments were conducted to image objects through calibrated scattering media and natural media like mist, with successful results. Scattering media prepared with polystyrene microspheres of diameters 2.97m, 0.06m and 0.13m dispersed in water were used in our experiments. An intensified charge coupled device (CCD) camera was used to capture the images. Results showed that imaging could be performed beyond optical thickness of 40, for particles with 0.13m diameter. For larger particles, the depth to which we could image was much lesser. An experiment using an incoherent source yielded better results than with coherent sources, which we attribute to the speckle noise induced by coherent sources. We have suggested a harmonic based imaging scheme, which can perhaps be used when we have a mixture of scattering particles. We have also briefly touched upon the possible post processing that can be performed on the obtained results, and as an example, shown segmentation based on a PO imaging result.
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Books on the topic "Ultrasonic imaging – Data processing"

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Chao sheng cheng xiang suan fa dao lun. Hefei Shi: Zhongguo ke xue ji shu da xue chu ban she, 2008.

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Kuni, Christopher C. Introduction to computers and digital processing in medical imaging. Chicago: Year Book Medical Publishers, 1988.

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Pazner, Micha. Simple computer imaging and mapping. London, Ontario, Canada: ThinkSpace, 1994.

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Sozer, Nesli, ed. Imaging Technologies and Data Processing for Food Engineers. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24735-9.

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Sampling, aliasing, and data fidelity for electronic imaging systems, communications, and data acquisition. Winter Park, FL: JCD Pub., 1998.

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Schantz, Herbert F. Optical digital imaging text systems. Silver Spring, Md: Association for Information and Image Management, 1991.

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Zalevsky, Zeev. Super-resolved imaging: Geometrical and diffraction approaches. New York: Springer Science+Business Media, 2011.

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Dougherty, Edward R. Introduction to real-time imaging. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1995.

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name, No. Medical imaging 2003: Ultrasonic imaging and signal processing : 18-20 February 2003, San Diego, California, USA. Bellingham, WA: SPIE, 2002.

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L, Cork Daniel, ed. Ballistic imaging. Washington, DC: National Academies Press, 2008.

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Book chapters on the topic "Ultrasonic imaging – Data processing"

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Miette, Véronique, Mathias Fink, and François Wu. "Ultrasonic Time Reversal Processing in Non Destructive Testing." In Acoustical Imaging, 513–18. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_83.

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Schlaps, D., U. Räth, J. F. Volk, I. Zuna, A. Lorenz, K. J. Lehmann, D. Lorenz, G. Van Kaick, and W. J. Lorenz. "Ultrasonic Tissue Characterization Using a Diagnostic Expert System." In Information Processing in Medical Imaging, 343–63. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-4261-5_25.

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Koo, Ja Il, and Song Bai Park. "An Efficient Data Acquisition System for Three-Dimensional Ultrasonic Imaging." In Acoustical Imaging, 263–67. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3370-2_42.

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Eriksson, BJ I., and T. Stepinski. "Characterization of Ultrasonic Signals Using Synthetic Data and Neural Networks." In Acoustical Imaging, 765–70. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_124.

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Szabo, Thomas L., and Daniel R. Burns. "Seismic Signal Processing of Ultrasound Imaging Data." In Acoustical Imaging, 131–36. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8588-0_21.

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Hirata, S., M. K. Kurosawa, and T. Katagiri. "Sensor Signal Processing for Ultrasonic Sensors Using Delta–Sigma Modulated Single-Bit Digital Signal." In Acoustical Imaging, 317–22. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8823-0_44.

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Ratledge, David. "CCD Imaging and Image Processing." In Software and Data for Practical Astronomers, 103–14. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0555-8_8.

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Blouin, A., D. Lévesque, C. Néron, F. Enguehard, D. Drolet, and J. P. Monchalin. "SAFT Data Processing Applied to Laser-Ultrasonic Inspection." In Review of Progress in Quantitative Nondestructive Evaluation, 611–17. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5339-7_79.

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Smith, William A. P. "3D Data Representation, Storage and Processing." In 3D Imaging, Analysis and Applications, 265–316. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44070-1_6.

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Nečas, David. "Data Processing Methods for Imaging Spectrophotometry." In Optical Characterization of Thin Solid Films, 143–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75325-6_6.

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Conference papers on the topic "Ultrasonic imaging – Data processing"

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Velichko, A., P. D. Wilcox, Donald O. Thompson, and Dale E. Chimenti. "REVERSIBLE BACK-PROPAGATION IMAGING ALGORITHM FOR POST-PROCESSING OF ULTRASONIC ARRAY DATA." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Proceedings of the 35th Annual Review of Progress in Quantitative Nondestructive Evaluation. AIP, 2009. http://dx.doi.org/10.1063/1.3114315.

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Qi, Yuan, Zhijie Chen, Hai Liu, Yuliang Qi, Huawei Tong, and Jiangang Xie. "Ultrasonic inspection of prefabricated constructions using reverse time migration imaging method." In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2019. http://dx.doi.org/10.1109/icsidp47821.2019.9172817.

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Fan, Chengguang, Lei Yang, and Yong Zhao. "The Pre-Processing of Ultrasonic Array Data for Time-Reversal-Based Imaging Algorithm." In 2017 Far East NDT New Technology & Application Forum (FENDT). IEEE, 2017. http://dx.doi.org/10.1109/fendt.2017.8584591.

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Moreau, L., A. J. Hunter, B. W. Drinkwater, P. D. Wilcox, Donald O. Thompson, and Dale E. Chimenti. "EFFICIENT DATA CAPTURE AND POST-PROCESSING FOR REAL-TIME IMAGING USING AN ULTRASONIC ARRAY." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION VOLUME 29. AIP, 2010. http://dx.doi.org/10.1063/1.3362500.

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Schickert, Martin. "Three-dimensional ultrasonic imaging of concrete elements using different SAFT data acquisition and processing schemes." In 41ST ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Volume 34. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4914599.

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Fidahoussen, A., P. Calmon, M. Lambert, S. Paillard, S. Chatillon, Donald O. Thompson, and Dale E. Chimenti. "IMAGING OF DEFECTS IN SEVERAL COMPLEX CONFIGURATIONS BY SIMULATION-HELPED PROCESSING OF ULTRASONIC ARRAY DATA." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION VOLUME 29. AIP, 2010. http://dx.doi.org/10.1063/1.3362502.

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Le, Lawrence H., Tho N. H. T. Tran, Kim-Cuong T. Nguyen, and Mauricio D. Sacchi. "An overview of ultrasonic imaging of long cortical bones: Data acquisition, signal processing, simulation, and inversion." In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2985760.1.

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Walczak, M., M. Lewandowski, and N. Zolek. "Optimization of real-time ultrasound PCIe data streaming and OpenCL processing for SAFT imaging." In 2013 IEEE International Ultrasonics Symposium (IUS). IEEE, 2013. http://dx.doi.org/10.1109/ultsym.2013.0527.

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Ermilov, Sergey A., Reda Gharieb, Andre Conjusteau, Tom Miller, Ketan Mehta, and Alexander A. Oraevsky. "Data processing and quasi-3D optoacoustic imaging of tumors in the breast using a linear arc-shaped array of ultrasonic transducers." In Biomedical Optics (BiOS) 2008, edited by Alexander A. Oraevsky and Lihong V. Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.770321.

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Benoist, Philippe, Clarisse Poidevin, and Olivier Roy. "Simulation and Applications of NDT Ultrasonic Array Techniques." In ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77716.

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More and more, phased arrays play an increasing role in ultrasonic non destructive testing, as they provide improved versatility, adaptability to complex configurations and efficiency compared to conventional techniques. The possibilities offered by arrays are numerous, involving electronic commutation, applications of electronic delays in the aim of beam forming, signal processing, etc... Besides the most standard techniques based on 2D beam steering and focusing, more sophisticated techniques are emerging involving matrix arrays and 3D beam forming. Flexible arrays are now available which allow to overcome problems due to complex and varying geometries of the inspected part (elbow, nozzles, butt weld...). The conception and optimization of the techniques, the design of the arrays, as well as the imaging and interpretation of the data requires dedicated simulation tools. Such tools based on an accurate modelling of ultrasound propagation in the part and dedicated to the conception and optimization of the techniques, the design of the arrays, as well as the imaging and interpretation of the data have been developed and implemented in the CIVA software plat-form. They allow to fully exploit electronic commutation over linear or matrix arrays, to compute adapted delay laws which take into account the whole complexity of the inspection, to predict transmitted beams in the part as well as echoes arising for prescribed flaws. In this communication the efficiency of array techniques and the capabilities of related simulation are illustrated on various complex applications such as nozzles, welds, and pipes inspection.
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Reports on the topic "Ultrasonic imaging – Data processing"

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Huang, Allen H. Physical Modeling for Processing Geosynchronous Imaging Fourier Transform Spectrometer-Indian Ocean METOC Imager (GIFTS-IOMI) Hyperspectral Data. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada628540.

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Huang, Allen H. Physical Modeling for Processing Geosynchronous Imaging Fourier Transform Spectrometer-Indian Ocean METOC Imager (GIFTS-IOMI) Hyperspectral Data. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada634056.

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Gribok, Andrei V. Performance of Advanced Signal Processing and Pattern Recognition Algorithms Using Raw Data from Ultrasonic Guided Waves and Fiber Optics Transducers. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1495185.

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Powers, Michael H. Improving Ground Penetrating Radar Imaging in High Loss Environments by Coordinated System Development, Data Processing, Numerical Modeling, & Visualization ... Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/838446.

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Wright, David L. Improving Ground Penetrating Radar Imaging in High Loss Environments by Coordinated System Development, Data Processing, Numerical Modeling, & Visualization. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/850393.

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David Wright, Michael Powers, Charles Oden, and Craig Moulton. Improving Ground Penetrating Radar Imaging in High Loss Environments by Coordinated System Development, Data Processing, Numerical Modeling, and Visualization methods with Applications to Site Characterization. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/895009.

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Wright, David L. Improving Ground Penetrating Radar Imaging in High Loss Environments by Coordinated System Development, Data Processing, Numerical Modeling, and Visualization Methods with Applications to Site Characterization. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/838443.

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Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing, and Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39700.

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details guiBathy, a graphical user interface to estimate nearshore bathymetry from imagery collected via a hovering Unmanned Aerial System (UAS). guiBathy provides an end-to-end solution for non-subject-matter-experts to utilize commercia-off-the-shelf UAS to collect quantitative imagery of the nearshore by packaging robust photogrammetric and signal-processing algorithms into an easy-to-use software interface. This report begins by providing brief background on coastal imaging and the photogrammetry and bathymetric inversion algorithms guiBathy utilizes, as well as UAS data collection requirements. The report then describes guiBathy software specifications, features, and workflow. Example guiBathy applications conclude the report with UAS bathymetry measurements taken during the 2020 Atlantic Hurricane Season, which compare favorably (root mean square error = 0.44 to 0.72 m; bias = -0.35 to -0.11 m) with in situ survey measurements. guiBathy is a standalone executable software for Windows 10 platforms and will be freely available at www.github.com/erdc.
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Processing of single channel air and water gun data for imaging an impact structure at the Chesapeake Bay. US Geological Survey, 1999. http://dx.doi.org/10.3133/b2169.

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