Beamforming Approaches For Ultrafast Nonlinear Ultrasound Imaging
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| Author | : Ting-Yu Lai |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : |
Recent advances in ultrafast contrast imaging have facilitated innovations such as super-resolutionimaging and ultrafast contrast-enhanced Doppler imaging (Chapter 1). It has become evident that combining ultrafast imaging with tissue harmonic imaging (THI) may offer improvements in image quality in clinical areas such as 4D THI and harmonic color flow (Chapter 1). In the first half of this work, we investigated the feasibility of combining ultrafast imaging with THI. We began with developing a numerical solution based on the Khokhlov-Zabolotskaya-Kuznetsov (KZK) to model the nonlinear propagation of sound beams produced by diagnostic arrays in tissue (Chapter 2). We then expanded our research for ultrafast THI and investigated the harmonic generation of a matrix array for identifying optimal beamforming strategies for 4D cardiac THI (Chapter 3). In the second half of this work, we proposed imaging approaches for improving tissue signal suppression and contrast sensitivity for ultrafast contrast imaging. We began with investigating the linear signal cancellation (tissue signal suppression) performance of the Verasonics research ultrasound scanner and compared it with the Philips iU22 (Chapter 4). We then studied the phase response of the microbubbles and tissue, and presented evidence that unique microbubble nonlinear dynamics can produce a phase response that can be used as a segmentation tool to further improve tissue signal suppression in contrast imaging (Chapter 5). Finally, we identified an aperture pattern for AM that improves the tissue signal suppression compared to the conventional AM. We also demonstrated that the additional phase response induced by the spatial difference between complementary half amplitude fields in OAM pulse sequences is useful for improving phase segmentation and image contrast (Chapter 6). We concluded with a summary of all the results and accomplishments and future directions of this work (Chapter 7).
| Author | : Giulia Matrone |
| Publisher | : MDPI |
| Total Pages | : 148 |
| Release | : 2019-10-04 |
| Genre | : Technology & Engineering |
| ISBN | : 3039211994 |
Ultrasound medical imaging stands out among the other diagnostic imaging modalities for its patient-friendliness, high temporal resolution, low cost, and absence of ionizing radiation. On the other hand, it may still suffer from limited detail level, low signal-to-noise ratio, and narrow field-of-view. In the last decade, new beamforming and image reconstruction techniques have emerged which aim at improving resolution, contrast, and clutter suppression, especially in difficult-to-image patients. Nevertheless, achieving a higher image quality is of the utmost importance in diagnostic ultrasound medical imaging, and further developments are still indispensable. From this point of view, a crucial role can be played by novel beamforming techniques as well as by non-conventional image formation techniques (e.g., advanced transmission strategies, and compounding, coded, and harmonic imaging). This Special Issue includes novel contributions on both ultrasound beamforming and image formation techniques, particularly addressed at improving B-mode image quality and related diagnostic content. This indeed represents a hot topic in the ultrasound imaging community, and further active research in this field is expected, where many challenges still persist.
| Author | : Hideyuki Hasegawa |
| Publisher | : MDPI |
| Total Pages | : 185 |
| Release | : 2018-09-21 |
| Genre | : Technology & Engineering |
| ISBN | : 3038971278 |
This book is a printed edition of the Special Issue "Ultrafast Ultrasound Imaging" that was published in Applied Sciences
| Author | : Babak Mohammadzadeh Asl |
| Publisher | : Springer Nature |
| Total Pages | : 368 |
| Release | : 2023-11-28 |
| Genre | : Technology & Engineering |
| ISBN | : 981997528X |
This book deals with the concept of medical ultrasound imaging and discusses array signal processing in ultrasound. Signal processing using different beamforming techniques in order to achieve a desirable reconstructed image and, consequently, obtain useful information about the imaging medium is the main focus of this book. In this regard, the principles of image reconstruction techniques in ultrasound imaging are fully described, and the required processing steps are completely expanded and analyzed in detail. Simulation results to compare the performance of different beamformers are also included in this book to visualize their differences to the reader. Other advanced techniques in the field of medical ultrasound data processing, as well as their corresponding recent achievements, are also presented in this book. Simply put, in this book, processing of medical ultrasound data from different aspects and acquiring information from them in different manners are covered and organized in different chapters. Before going through the detailed explanation in each chapter, it gives the reader an overview of the considered issue and focuses his\her mind on the challenge ahead. The contents of the book are also presented in such a way that they are easy for the reader to understand. This book is recommended for researchers who study medical ultrasound data processing.
| Author | : Mohammed Bani M. Albulayli |
| Publisher | : |
| Total Pages | : |
| Release | : 2012 |
| Genre | : |
| ISBN | : |
The application of adaptive beamforming to biomedical ultrasound imaging has been an active research area in recent years. Adaptive beamforming techniques have the capability of achieving excellent resolution and sidelobe suppression, thus improving the quality of the ultrasound images. This quality improvement, however, comes at a high computational cost. The work presented in this thesis aims to answer the following basic question: Can we reduce the computational complexity of adaptive beamforming without a significant degradation of the image quality? Our objective is to explore a combination of low-complexity non-adaptive beamforming, such as the conventional Delay-and-Sum (DAS) method, with high-complexity adaptive beamforming, such as the standard Minimum-Variance Distortionless Response (MVDR) method implemented using the Generalized Sidelobe Canceller (GSC). Such a combination should have the lower computational complexity than adaptive beamforming, but it should also offer the image quality comparable to that obtained using adaptive beamforming. In addition to the adaptive GSC-based MVDR beamforming method, we also investigate the performance of the so-called Adaptive Single Snapshot Beamformer (ASSB), which is relatively unexplored in the ultrasound imaging literature. The main idea behind our approach to combining a non-adaptive beamformer with an adaptive one is based on the use of the data-dependent variable known as the coherence factor. The resulting hybrid beamforming method can be summarized as follows: For each input snapshot to be beamformed, calculate the corresponding coherence factor; if the coherence factor is below a certain threshold, use non-adaptive DAS beamforming, otherwise use adaptive (GSC-based or ASSB-based) beamforming. We have applied this simple switching scheme to the simulated B-mode ultrasound images of the 12-point and point-scatterer-cyst phantoms that are commonly used in the ultrasound imaging literature to evaluate the image quality. Our simulation results show that, in comparison to optimal high-complexity always-adaptive beamforming, our hybrid beamformer can yield significant computational savings that range from 59% to 99%, while maintaining the image quality (measured in terms of resolution and contrast) within a 5% degradation margin.
| Author | : Giulia Matrone |
| Publisher | : |
| Total Pages | : 1 |
| Release | : 2019 |
| Genre | : Electronic books |
| ISBN | : 9783039212002 |
Ultrasound medical imaging stands out among the other diagnostic imaging modalities for its patient-friendliness, high temporal resolution, low cost, and absence of ionizing radiation. On the other hand, it may still suffer from limited detail level, low signal-to-noise ratio, and narrow field-of-view. In the last decade, new beamforming and image reconstruction techniques have emerged which aim at improving resolution, contrast, and clutter suppression, especially in difficult-to-image patients. Nevertheless, achieving a higher image quality is of the utmost importance in diagnostic ultrasound medical imaging, and further developments are still indispensable. From this point of view, a crucial role can be played by novel beamforming techniques as well as by non-conventional image formation techniques (e.g., advanced transmission strategies, and compounding, coded, and harmonic imaging). This Special Issue includes novel contributions on both ultrasound beamforming and image formation techniques, particularly addressed at improving B-mode image quality and related diagnostic content. This indeed represents a hot topic in the ultrasound imaging community, and further active research in this field is expected, where many challenges still persist.
| Author | : Thomas L. Szabo |
| Publisher | : Academic Press |
| Total Pages | : 829 |
| Release | : 2013-12-05 |
| Genre | : Science |
| ISBN | : 012396542X |
Diagnostic Ultrasound Imaging provides a unified description of the physical principles of ultrasound imaging, signal processing, systems and measurements. This comprehensive reference is a core resource for both graduate students and engineers in medical ultrasound research and design. With continuing rapid technological development of ultrasound in medical diagnosis, it is a critical subject for biomedical engineers, clinical and healthcare engineers and practitioners, medical physicists, and related professionals in the fields of signal and image processing. The book contains 17 new and updated chapters covering the fundamentals and latest advances in the area, and includes four appendices, 450 figures (60 available in color on the companion website), and almost 1,500 references. In addition to the continual influx of readers entering the field of ultrasound worldwide who need the broad grounding in the core technologies of ultrasound, this book provides those already working in these areas with clear and comprehensive expositions of these key new topics as well as introductions to state-of-the-art innovations in this field. Enables practicing engineers, students and clinical professionals to understand the essential physics and signal processing techniques behind modern imaging systems as well as introducing the latest developments that will shape medical ultrasound in the future Suitable for both newcomers and experienced readers, the practical, progressively organized applied approach is supported by hands-on MATLAB® code and worked examples that enable readers to understand the principles underlying diagnostic and therapeutic ultrasound Covers the new important developments in the use of medical ultrasound: elastography and high-intensity therapeutic ultrasound. Many new developments are comprehensively reviewed and explained, including aberration correction, acoustic measurements, acoustic radiation force imaging, alternate imaging architectures, bioeffects: diagnostic to therapeutic, Fourier transform imaging, multimode imaging, plane wave compounding, research platforms, synthetic aperture, vector Doppler, transient shear wave elastography, ultrafast imaging and Doppler, functional ultrasound and viscoelastic models
| Author | : Noura Hantira |
| Publisher | : |
| Total Pages | : |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
| Author | : Gaio Paradossi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 199 |
| Release | : 2010-07-16 |
| Genre | : Technology & Engineering |
| ISBN | : 8847014948 |
Recent advancements in nano/micro materials and related characterization approaches allow the design of a new type of ultrasound contrast agents (UCAs) with enhanced multifunctional behaviour. This is chance is also supported by the recent achievements in modelling and signal processing. This book provides the state of art of the research activity of two successful European projects, TAMIRUT and SIGHT, addressing an integrated system, encompassing the contrast agent, the hardware equipment and the processing strategies, as a key tool for a combined diagnostic and therapeutic approaches (theranostics) in medical ultrasound. The work provides a highlight of the state of art in the research of novel ultrasound contrast agents (UCAs). Main progresses on the multifunctional aspects of next-generation UCAs concern targeting and drug release properties, perfusion and biointerface behaviour, ultrasound scattering performance, signal processing, electronic equipment.
| Author | : Jian Li |
| Publisher | : John Wiley & Sons |
| Total Pages | : 422 |
| Release | : 2005-10-10 |
| Genre | : Technology & Engineering |
| ISBN | : 0471733466 |
The latest research and developments in robust adaptivebeamforming Recent work has made great strides toward devising robust adaptivebeamformers that vastly improve signal strength against backgroundnoise and directional interference. This dynamic technology hasdiverse applications, including radar, sonar, acoustics, astronomy,seismology, communications, and medical imaging. There are alsoexciting emerging applications such as smart antennas for wirelesscommunications, handheld ultrasound imaging systems, anddirectional hearing aids. Robust Adaptive Beamforming compiles the theories and work ofleading researchers investigating various approaches in onecomprehensive volume. Unlike previous efforts, these pioneeringstudies are based on theories that use an uncertainty set of thearray steering vector. The researchers define their theories,explain their methodologies, and present their conclusions. Methodspresented include: * Coupling the standard Capon beamformers with a spherical orellipsoidal uncertainty set of the array steering vector * Diagonal loading for finite sample size beamforming * Mean-squared error beamforming for signal estimation * Constant modulus beamforming * Robust wideband beamforming using a steered adaptive beamformerto adapt the weight vector within a generalized sidelobe cancellerformulation Robust Adaptive Beamforming provides a truly up-to-date resourceand reference for engineers, researchers, and graduate students inthis promising, rapidly expanding field.
