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Bibliographies thématiques / Nonlinear ultrasound imaging / Articles de revues

Articles de revues sur le sujet « Nonlinear ultrasound imaging »

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Auteur : Grafiati

Publié le 10 mars 2023

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1

Goertz, David E., Martijn E. Frijlink, Nico de Jong et Antonius F. W. van der Steen. « Nonlinear intravascular ultrasound contrast imaging ». Ultrasound in Medicine & ; Biology 32, n^o 4 (avril 2006) : 491–502. http://dx.doi.org/10.1016/j.ultrasmedbio.2006.01.001.

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2

Maresca, David, Anupama Lakshmanan, Audrey Lee-Gosselin, Johan M. Melis, Yu-Li Ni, Raymond W. Bourdeau, Dennis M. Kochmann et Mikhail G. Shapiro. « Nonlinear ultrasound imaging of nanoscale acoustic biomolecules ». Applied Physics Letters 110, n^o 7 (13 février 2017) : 073704. http://dx.doi.org/10.1063/1.4976105.

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3

Kvam, Johannes, Stian Solberg, Ole Martin Brende, Ola Finneng Myhre, Alfonso Rodriguez-Molares, Jørgen Kongsro et Bjørn A.J. Angelsen. « Nonlinear elasticity imaging with dual frequency ultrasound ». Journal of the Acoustical Society of America 141, n^o 5 (mai 2017) : 3719. http://dx.doi.org/10.1121/1.4988144.

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4

Lott, Martin, Marcel C. Remillieux, Vincent Garnier, T. J. Ulrich, Pierre-Yves Le Bas, Arnaud Deraemaeker, Cédric Dumoulin et Cédric Payan. « Fracture processes imaging in concrete using nonlinear ultrasound ». NDT & ; E International 120 (juin 2021) : 102432. http://dx.doi.org/10.1016/j.ndteint.2021.102432.

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5

Acosta, Sebastian, Gunther Uhlmann et Jian Zhai. « Nonlinear Ultrasound Imaging Modeled by a Westervelt Equation ». SIAM Journal on Applied Mathematics 82, n^o 2 (14 mars 2022) : 408–26. http://dx.doi.org/10.1137/21m1431813.

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6

Kvam, Johannes, Stian Solberg, Ola F. Myhre, Alfonso Rodriguez-Molares et Bjørn A. J. Angelsen. « Nonlinear bulk elasticity imaging using dual frequency ultrasound ». Journal of the Acoustical Society of America 146, n^o 4 (octobre 2019) : 2492–500. http://dx.doi.org/10.1121/1.5129120.

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7

Borsboom, Jerome M. G., Chien Ting Chin et Nico de Jong. « Nonlinear coded excitation method for ultrasound contrast imaging ». Ultrasound in Medicine & ; Biology 29, n^o 2 (février 2003) : 277–84. http://dx.doi.org/10.1016/s0301-5629(02)00712-3.

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8

Eisenbrey, John R., Anush Sridharan, Ji-Bin Liu et Flemming Forsberg. « Recent Experiences and Advances in Contrast-Enhanced Subharmonic Ultrasound ». BioMed Research International 2015 (2015) : 1–6. http://dx.doi.org/10.1155/2015/640397.

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Nonlinear contrast-enhanced ultrasound imaging schemes strive to suppress tissue signals in order to better visualize nonlinear signals from blood-pooling ultrasound contrast agents. Because tissue does not generate a subharmonic response (i.e., signal at half the transmit frequency), subharmonic imaging has been proposed as a method for isolating ultrasound microbubble signals while suppressing surrounding tissue signals. In this paper, we summarize recent advances in the use of subharmonic imagingin vivo. These advances include the implementation of subharmonic imaging on linear and curvilinear arrays, intravascular probes, and three-dimensional probes for breast, renal, liver, plaque, and tumor imaging.

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KAMIYAMA, Naohisa. « Ultrasound Diagnostic Imaging by Using Nonlinear Behavior of Microbubbles ». Journal of the Society of Mechanical Engineers 111, n^o 1074 (2008) : 408–11. http://dx.doi.org/10.1299/jsmemag.111.1074_408.

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10

Leen, Edward, et Paul Horgan. « Ultrasound contrast agents for hepatic imaging with nonlinear modes ». Current Problems in Diagnostic Radiology 32, n^o 2 (mars 2003) : 66–87. http://dx.doi.org/10.1067/mdr.2003.120001.

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11

Tang, Meng-Xing, Naohisa Kamiyama et Robert J. Eckersley. « Effects of Nonlinear Propagation in Ultrasound Contrast Agent Imaging ». Ultrasound in Medicine & ; Biology 36, n^o 3 (mars 2010) : 459–66. http://dx.doi.org/10.1016/j.ultrasmedbio.2009.11.011.

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12

Yang, Fang, Huating Cui, Yang Liu, Li Yang, Yixin Li, Ping Chen et Ning Gu. « Nanoparticle-shelled Microbubbles Used for Medical Ultrasound Nonlinear Imaging ». Physics Procedia 70 (2015) : 1074–78. http://dx.doi.org/10.1016/j.phpro.2015.08.229.

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13

Novell, A., M. Legros, N. Felix et A. Bouakaz. « Exploitation of capacitive micromachined transducers for nonlinear ultrasound imaging ». IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 56, n^o 12 (décembre 2009) : 2733–43. http://dx.doi.org/10.1109/tuffc.2009.1364.

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14

Tejedor Sastre, María Teresa, et Christian Vanhille. « Nonlinear Maximization of the Sum-Frequency Component from Two Ultrasonic Signals in a Bubbly Liquid ». Sensors 20, n^o 1 (23 décembre 2019) : 113. http://dx.doi.org/10.3390/s20010113.

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Techniques based on ultrasound in nondestructive testing and medical imaging analyze the response of the source frequencies (linear theory) or the second-order frequencies such as higher harmonics, difference and sum frequencies (nonlinear theory). The low attenuation and high directivity of the difference-frequency component generated nonlinearly by parametric arrays are useful. Higher harmonics created directly from a single-frequency source and the sum-frequency component generated nonlinearly by parametric arrays are attractive because of their high spatial resolution and accuracy. The nonlinear response of bubbly liquids can be strong even at relatively low acoustic pressure amplitudes. Thus, these nonlinear frequencies can be generated easily in these media. Since the experimental study of such nonlinear waves in stable bubbly liquids is a very difficult task, in this work we use a numerical model developed previously to describe the nonlinear propagation of ultrasound interacting with nonlinearly oscillating bubbles in a liquid. This numerical model solves a differential system coupling a Rayleigh–Plesset equation and the wave equation. This paper performs an analysis of the generation of the sum-frequency component by nonlinear mixing of two signals of lower frequencies. It shows that the amplitude of this component can be maximized by taking into account the nonlinear resonance of the system. This effect is due to the softening of the medium when pressure amplitudes rise.

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15

Krishnan, S., et M. O'Donnell. « Transmit Aperture Processing for Nonlinear Contrast Agent Imaging ». Ultrasonic Imaging 18, n^o 2 (avril 1996) : 77–105. http://dx.doi.org/10.1177/016173469601800201.

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Nonlinear contrast agents, such as bubbles, are used in ultrasound to enhance backscatter from blood. To increase contrast between these agents and tissue, nonlinear imaging methods, such as harmonic imaging or difference frequency imaging, can be used. For these, power is transmitted at one frequency and received at a different frequency. Nonlinear imaging methods, however, suffer from reduced contrast because of signal transmitted by the array at the receive frequency that linearly reflects off tissue. In this paper, transmit aperture processing is proposed to improve contrast in nonlinear imaging by suppressing signal transmission at the desired receive frequency. A specific method, known as alternate phasing, is presented as an example of this approach. Simulation results show that alternate phasing greatly improves contrast between tissue and bubbles. Alternate phasing

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16

Uhlendorf, Volkmar, Thomas Fritzsch, Michael Reinhardt et Frank‐Detlef Scholle. « Nonlinear properties of microbubbles and applications to medical ultrasound imaging ». Journal of the Acoustical Society of America 103, n^o 5 (mai 1998) : 2960. http://dx.doi.org/10.1121/1.421652.

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17

Needles, A., M. Arditi, N. G. Rognin, J. Mehi, T. Coulthard, C. Bilan-Tracey, E. Gaud, P. Frinking, D. Hirson et F. S. Foster. « Nonlinear Contrast Imaging with an Array-Based Micro-Ultrasound System ». Ultrasound in Medicine & ; Biology 36, n^o 12 (décembre 2010) : 2097–106. http://dx.doi.org/10.1016/j.ultrasmedbio.2010.08.012.

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18

Shekhar, Himanshu, Ivy Awuor, Sahar Hashemgeloogerdi et Marvin M. Doyley. « Nonlinear intravascular ultrasound contrast imaging with a modified clinical system ». Journal of the Acoustical Society of America 135, n^o 4 (avril 2014) : 2309. http://dx.doi.org/10.1121/1.4877612.

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19

Reusch, Lisa M., Helen Feltovich, Lindsey C. Carlson, Gunnsteinn Hall, Paul J. Campagnola, Kevin W. Eliceiri et Timothy J. Hall. « Nonlinear optical microscopy and ultrasound imaging of human cervical structure ». Journal of Biomedical Optics 18, n^o 3 (14 février 2013) : 031110. http://dx.doi.org/10.1117/1.jbo.18.3.031110.

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20

Stride, E., K. Pancholi, M. J. Edirisinghe et S. Samarasinghe. « Increasing the nonlinear character of microbubble oscillations at low acoustic pressures ». Journal of The Royal Society Interface 5, n^o 24 (19 février 2008) : 807–11. http://dx.doi.org/10.1098/rsif.2008.0005.

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The nonlinear response of gas bubbles to acoustic excitation is an important phenomenon in both the biomedical and engineering sciences. In medical ultrasound imaging, for example, microbubbles are used as contrast agents on account of their ability to scatter ultrasound nonlinearly. Increasing the degree of nonlinearity, however, normally requires an increase in the amplitude of excitation, which may also result in violent behaviour such as inertial cavitation and bubble fragmentation. These effects may be highly undesirable, particularly in biomedical applications, and the aim of this work was to investigate alternative means of enhancing nonlinear behaviour. In this preliminary report, it is shown through theoretical simulation and experimental verification that depositing nanoparticles on the surface of a bubble increases the nonlinear character of its response significantly at low excitation amplitudes. This is due to the fact that close packing of the nanoparticles restricts bubble compression.

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21

Duck, Francis A. « Nonlinear acoustics in diagnostic ultrasound ». Ultrasound in Medicine & ; Biology 28, n^o 1 (janvier 2002) : 1–18. http://dx.doi.org/10.1016/s0301-5629(01)00463-x.

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22

Li, S., W. N. McDicken et P. R. Hoskins. « Nonlinear propagation in doppler ultrasound ». Ultrasound in Medicine & ; Biology 19, n^o 5 (janvier 1993) : 359–64. http://dx.doi.org/10.1016/0301-5629(93)90054-r.

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23

Yang, Huali, Liangchao Zhao, Qinghua Wu, Nengping Li et Lei Kong. « Diagnosis of Biliary Tract Disease Based on Ultrasound Tissue Harmonic Imaging ». Journal of Medical Imaging and Health Informatics 10, n^o 7 (1 juillet 2020) : 1684–92. http://dx.doi.org/10.1166/jmihi.2020.3095.

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With the deepening of ultrasound imaging research, studying nonlinear phenomena in medical ultrasound will help people to further improve the existing diagnostic level. Harmonic imaging technology generated in recent years is an effective new technology for nonlinear acoustics in ultrasonic diagnosis. Patients with biliary tract lesions generally have few symptoms, which are often detected by chance during physical examination. Ultrasonography is currently the preferred diagnostic method for biliary tract disease. The application of tissue harmonic imaging (THI) can effectively eliminate many near-field misdiagnosed images, enhance the tissue echo of deep tissues or organs, and significantly improve signal-to-noise ratio and resolution. At the same time, it can better display the subtle features of biliary diseases, thereby reducing the rate of missed diagnosis and improving the accuracy of diagnosis. Therefore, this study aimed to observe the changes of ultrasound images in the lesions and surrounding tissues of several biliary lesions by ultrasound tissue harmonic imaging technology, and realized the diagnosis in the early stage of the disease by means of tissue harmonic imaging technology, then provided objective quantitative indicators for the diagnosis of biliary diseases. Also, this study confirmed that tissue harmonic imaging technology can significantly improve the ultrasound image resolution of biliary tract disease, clearly showing the sub-acute gallbladder wall, gallbladder wall, gallbladder cavity in the acute and chronic inflammation and the presence of subtle changes in the tumor. This can provide a rich diagnostic value for the clinic and has practical significance for clinical treatment.

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24

Zheng, Hairong, Osama Mukdadi et Robin Shandas. « Theoretical predictions of harmonic generation from submicron ultrasound contrast agents for nonlinear biomedical ultrasound imaging ». Physics in Medicine and Biology 51, n^o 3 (11 janvier 2006) : 557–73. http://dx.doi.org/10.1088/0031-9155/51/3/006.

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25

Sbeity, Fatima, Sébastien Ménigot, Jamal Charara et Jean-Marc Girault. « A General Framework for Modeling Sub- and Ultraharmonics of Ultrasound Contrast Agent Signals with MISO Volterra Series ». Computational and Mathematical Methods in Medicine 2013 (2013) : 1–9. http://dx.doi.org/10.1155/2013/934538.

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Sub- and ultraharmonics generation by ultrasound contrast agents makes possible sub- and ultraharmonics imaging to enhance the contrast of ultrasound images and overcome the limitations of harmonic imaging. In order to separate different frequency components of ultrasound contrast agents signals, nonlinear models like single-input single-output (SISO) Volterra model are used. One important limitation of this model is its incapacity to model sub- and ultraharmonic components. Many attempts are made to model sub- and ultraharmonics using Volterra model. It led to the design of mutiple-input singe-output (MISO) Volterra model instead of SISO Volterra model. The key idea of MISO modeling was to decompose the input signal of the nonlinear system into periodic subsignals at the subharmonic frequency. In this paper, sub- and ultraharmonics modeling with MISO Volterra model is presented in a general framework that details and explains the required conditions to optimally model sub- and ultraharmonics. A new decomposition of the input signal in periodic orthogonal basis functions is presented. Results of application of different MISO Volterra methods to model simulated ultrasound contrast agents signals show its efficiency in sub- and ultraharmonics imaging.

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26

Forsberg, Flemming, William T. Shi, Michael K. Knauer, Anne L. Hall, Chris Vecchio et Richard Bernardi. « Real-Time Excitation-Enhanced Ultrasound Contrast Imaging ». Ultrasonic Imaging 27, n^o 2 (avril 2005) : 65–74. http://dx.doi.org/10.1177/016173460502700201.

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A new nonlinear contrast specific imaging modality, excitation-enhanced imaging (EEI) has been implemented on commercially-available scanners for real-time imaging. This novel technique employs two acoustic fields: a low-frequency, high-intensity ultrasound field (the excitation field) to actively condition contrast microbubbles, and a second lower-intensity regular imaging field applied shortly afterwards to detect enhanced contrast scattering. A Logiq 9 scanner (GE Healthcare, Milwaukee, WI) with a 3.5C curved linear array and an AN2300 digital ultrasound engine (Analogic Corporation, Peabody, MA) with a P4-2 phased array transducer (Philips Medical Systems, Bothell, WA) were modified to perform EEI on a vector-by-vector basis in fundamental and pulse inversion harmonic grayscale modes. Ultrasound contrast microbubbles within an 8 mm vessel embedded in a tissue-mimicking flow phantom (ATS Laboratories, Bridgeport, CT) were imaged in vitro. While video intensities of scattered signals from the surrounding tissue were unchanged, video intensities of echoes from contrast bubbles within the vessel were markedly enhanced. The maximum enhancement achieved was 10.4 dB in harmonic mode (mean enhancement: 6.3 dB; p=0.0007). In conclusion, EEI may improve the sensitivity of ultrasound contrast imaging, but further work is required to assess the in vivo potential of this new technique.

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Koskinen, Tuomas, Juha Kuutti, Iikka Virkkunen et Jari Rinta-aho. « Online nonlinear ultrasound imaging of crack closure during thermal fatigue loading ». NDT & ; E International 123 (octobre 2021) : 102510. http://dx.doi.org/10.1016/j.ndteint.2021.102510.

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Bruce, Matthew, Alex Hannah, Ryan Hammond, Zin Z. Khaing, Charles Tremblay-Darveau, Peter N. Burns et Christoph P. Hofstetter. « High-Frequency Nonlinear Doppler Contrast-Enhanced Ultrasound Imaging of Blood Flow ». IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67, n^o 9 (septembre 2020) : 1776–84. http://dx.doi.org/10.1109/tuffc.2020.2986486.

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Satir, Sarp, et F. Levent Degertekin. « Phase and Amplitude Modulation Methods for Nonlinear Ultrasound Imaging With CMUTs ». IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 63, n^o 8 (août 2016) : 1086–92. http://dx.doi.org/10.1109/tuffc.2016.2557621.

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Callé, Samuel, Jean-Pierre Remenieras, Olivier Bou Matar, Marielle Defontaine et F. ŕed́eric Patat. « Application of nonlinear phenomena induced by focused ultrasound to bone imaging ». Ultrasound in Medicine & ; Biology 29, n^o 3 (mars 2003) : 465–72. http://dx.doi.org/10.1016/s0301-5629(02)00729-9.

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Girault, Jean-Marc, et Sébastien Ménigot. « Contrast Optimization by Metaheuristic for Inclusion Detection in Nonlinear Ultrasound Imaging ». Physics Procedia 70 (2015) : 614–17. http://dx.doi.org/10.1016/j.phpro.2015.08.037.

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32

Parker, Kevin J. « Medical imaging using nonlinear ultrasound and the role of Edwin Carstensen ». Journal of the Acoustical Society of America 119, n^o 5 (mai 2006) : 3375. http://dx.doi.org/10.1121/1.4786585.

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Tieng, Quang M., et Viktor Vegh. « Magnetic resonance imaging in nonlinear fields with nonlinear reconstruction ». Concepts in Magnetic Resonance Part B : Magnetic Resonance Engineering 39B, n^o 3 (26 juillet 2011) : 128–40. http://dx.doi.org/10.1002/cmr.b.20200.

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34

Tang, Meng-xing, et Robert Eckersley. « Nonlinear propagation of ultrasound through microbubble contrast agents and implications for imaging ». IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 53, n^o 12 (décembre 2006) : 2406–15. http://dx.doi.org/10.1109/tuffc.2006.189.

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35

Qin, Shengping, et Katherine Ferrara. « Nonlinear oscillation of microbubble in microtubes for ultrasound imaging and drug delivery ». Journal of the Acoustical Society of America 119, n^o 5 (mai 2006) : 3438. http://dx.doi.org/10.1121/1.4808901.

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36

Nowicki, Andrzej, Janusz Wójcik et Wojciech Secomski. « Harmonic Imaging Using Multitone Nonlinear Coding ». Ultrasound in Medicine & ; Biology 33, n^o 7 (juillet 2007) : 1112–22. http://dx.doi.org/10.1016/j.ultrasmedbio.2007.02.001.

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37

Liu, Yang, Xiasheng Guo, Zhao Da, Dong Zhang et Xiufen Gong. « Imaging Cracks in Bones Using Acoustic Nonlinearity : A Simulation Study ». Acta Acustica united with Acustica 97, n^o 5 (1 septembre 2011) : 728–33. http://dx.doi.org/10.3813/aaa.918452.

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This article proposes an acoustic nonlinear approach combined with the time reversal technique to image cracks in long bones. In this method, the scattered ultrasound generated from the crack is recorded, and the third harmonic nonlinear component of the ultrasonic signal is used to reconstruct an image of the crack by the time reversal process. Numerical simulations are performed to examine the validity of this approach. The fatigue long bone is modeled as a hollow cylinder with a crack of 1, 0.1, and 0.225 mm in axial, radial and circumferential directions respectively. A broadband 500 kHz ultrasonic signal is used as the exciting signal, and the extended three-dimensional Preisach-Mayergoyz model is used to describe the nonclassical nonlinear dynamics of the crack. Time reversal is carried out by using the filtered third harmonic component. The localization capability depends on the radial depth of the crack.

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38

Keelan, Robert, Kenji Shimada et Yoed Rabin. « GPU-Based Simulation of Ultrasound Imaging Artifacts for Cryosurgery Training ». Technology in Cancer Research & ; Treatment 16, n^o 1 (23 juin 2016) : 5–14. http://dx.doi.org/10.1177/1533034615623062.

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This study presents an efficient computational technique for the simulation of ultrasound imaging artifacts associated with cryosurgery based on nonlinear ray tracing. This study is part of an ongoing effort to develop computerized training tools for cryosurgery, with prostate cryosurgery as a development model. The capability of performing virtual cryosurgical procedures on a variety of test cases is essential for effective surgical training. Simulated ultrasound imaging artifacts include reverberation and reflection of the cryoprobes in the unfrozen tissue, reflections caused by the freezing front, shadowing caused by the frozen region, and tissue property changes in repeated freeze–thaw cycles procedures. The simulated artifacts appear to preserve the key features observed in a clinical setting. This study displays an example of how training may benefit from toggling between the undisturbed ultrasound image, the simulated temperature field, the simulated imaging artifacts, and an augmented hybrid presentation of the temperature field superimposed on the ultrasound image. The proposed method is demonstrated on a graphic processing unit at 100 frames per second, on a mid-range personal workstation, at two orders of magnitude faster than a typical cryoprocedure. This performance is based on computation with C++ accelerated massive parallelism and its interoperability with the DirectX-rendering application programming interface.

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Tellapuri, S., P. D. Sutphin, S. P. Kalva et R. F. Mattrey. « Contrast-Enhanced Ultrasound in the Assessment of Carotid Atherosclerotic Disease : A Review ». Neurographics 11, n^o 1 (1 janvier 2021) : 38–48. http://dx.doi.org/10.3174/ng.2000026.

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Contrast-enhanced sonography is a safe, radiation-free, and minimally invasive imaging technique. It takes advantage of the nonlinear behavior of microbubble contrast agents to produce microbubble-only images, which allows for the assessment of the extracranial carotid arteries, with a minuscule total dose of <1 mL. This review highlights the current status of extracranial carotid sonography imaging, including plaque characterization when using standard and contrast-enhanced sonography.Learning Objective: Describe risk factors associated with ischemic stroke and the associated imaging features and how contrast-enhanced sonography can provide direct evaluation for carotid artery stenosis as well as characterization of atherosclerotic plaque.

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Mihara, Tsuyoshi, Yuki Takayanagi, Yutaka Suzuki, Takashi Saito et Hatsuzo Tashiro. « Development of High Functional Ultrasonic Imaging System for Bonding Interfaces Using Nonlinear Ultrasound ». Tetsu-to-Hagane 98, n^o 11 (2012) : 575–82. http://dx.doi.org/10.2355/tetsutohagane.98.575.

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Koponen, Eero, Jarkko Leskinen, Tanja Tarvainen et Aki Pulkkinen. « Nonlinear estimation of pressure projection of ultrasound fields in background-oriented schlieren imaging ». Journal of the Optical Society of America A 39, n^o 4 (11 mars 2022) : 552. http://dx.doi.org/10.1364/josaa.433762.

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Preobrazhensky, V., P. Pernod, Yu Pyl'nov, L. Krutyansky, N. Smagin et S. Preobrazhensky. « Nonlinear Acoustic Imaging of Isoechogenic Objects and Flows Using Ultrasound Wave Phase Conjugation ». Acta Acustica united with Acustica 95, n^o 1 (1 janvier 2009) : 36–45. http://dx.doi.org/10.3813/aaa.918125.

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Dos Santos, Serge, et Zdenek Prevorovsky. « Imaging of human tooth using ultrasound based chirp-coded nonlinear time reversal acoustics ». Ultrasonics 51, n^o 6 (août 2011) : 667–74. http://dx.doi.org/10.1016/j.ultras.2011.01.008.

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Ferreira, Elizabete R., Assad A. Oberai, Paul E. Barbone et Timothy J. Hall. « Progress in inferring desmoplastic stromal tissue microstructure noninvasively with ultrasound nonlinear elasticity imaging ». Journal of the Acoustical Society of America 134, n^o 5 (novembre 2013) : 4214. http://dx.doi.org/10.1121/1.4831471.

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45

Cho, Seonghee, Seungwan Jeon, Wonseok Choi, Ravi Managuli et Chulhong Kim. « Nonlinear pth root spectral magnitude scaling beamforming for clinical photoacoustic and ultrasound imaging ». Optics Letters 45, n^o 16 (11 août 2020) : 4575. http://dx.doi.org/10.1364/ol.393315.

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46

Goertz, D. E., M. E. Frijlink, R. Krams, N. de Jong et A. F. W. van der Steen. « Vasa vasorum and molecular imaging of atherosclerotic plaques using nonlinear contrast intravascular ultrasound ». Netherlands Heart Journal 15, n^o 2 (février 2007) : 77–80. http://dx.doi.org/10.1007/bf03085959.

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Schwab, Hans-Martin, et Richard Lopata. « A Radon diffraction theorem for plane wave ultrasound imaging ». Journal of the Acoustical Society of America 153, n^o 2 (février 2023) : 1015–26. http://dx.doi.org/10.1121/10.0017245.

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The rising demand on high frame rate ultrasound imaging applications necessitates the development of fast algorithms for plane wave image reconstruction. We introduce a new class of plane wave reconstructions that relies on a relation between receive data and image data in the Radon domain. This relation is derived for arbitrary dimensions and validated on multiple two-dimensional plane wave data sets. We further present a mathematical relation between conventional delay-and-sum and Fourier domain reconstruction methods and the method proposed. Our analysis shows that they all rely on the same physical model with slight variations in certain filtering steps and, therefore, the new Radon domain reconstruction yields similar results as other methods in terms of image quality. However, we show that our method offers a huge potential to improve computation time by reducing the number of applied projections and to improve image quality by introducing nonlinear operations in the Radon domain, e.g., for edge enhancement. As the Radon transform retains both angular and temporal information, the relation also provides new insights on the fundamentals of plane wave imaging that can be leveraged for optimizing acquisition schemes or for developing novel compounding strategies in the future.

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