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Photoacoustic tomography (PAT) is an emerging imaging modality capable of mapping optical absorption in tissues. It is a hybrid technique that combines the high spatial resolution of ultrasound imaging with the high contrast of optical imaging, and has demonstrated much potential in biomedical applications. Conventional PAT systems employ raster scanning to capture a large number of projections, thus improving image reconstruction at the cost of temporal resolution. Arising from the desire for real-time 3D PA imaging, several groups have begun to design PAT systems with staring arrays, where image acquisition is only limited by the repetition rate of the laser. However, there has been little emphasis on staring array design analysis and optimization. We have developed objective figures of merit for PAT system performance and applied these metrics to improve system design. The results suggested that the developed approach could be used to objectively characterize and improve any PAT system design.
Photoacoustic computed tomography: PACT), also known as optoacoustic tomography, is a rapidly emerging imaging modality that holds great promise for a wide range of biomedical imaging applications. Much effort has been devoted to the investigation of imaging physics and the optimization of experimental designs. Meanwhile, a variety of image reconstruction algorithms have been developed for the purpose of computed tomography. Most of these algorithms assume full knowledge of the acoustic pressure function on a measurement surface that either encloses the object or extends to infinity, which poses many difficulties for practical applications. To overcome these limitations, iterative image reconstruction algorithms have been actively investigated. However, little work has been conducted on imaging models that incorporate the characteristics of data acquisition systems. Moreover, when applying to experimental data, most studies simplify the inherent three-dimensional wave propagation as two-dimensional imaging models by introducing heuristic assumptions on the transducer responses and/or the object structures. One important reason is because three-dimensional image reconstruction is computationally burdensome. The inaccurate imaging models severely limit the performance of iterative image reconstruction algorithms in practice. In the dissertation, we propose a framework to construct imaging models that incorporate the characteristics of ultrasonic transducers. Based on the imaging models, we systematically investigate various iterative image reconstruction algorithms, including advanced algorithms that employ total variation-norm regularization. In order to accelerate three-dimensional image reconstruction, we develop parallel implementations on graphic processing units. In addition, we derive a fast Fourier-transform based analytical image reconstruction formula. By use of iterative image reconstruction algorithms based on the proposed imaging models, PACT imaging scanners can have a compact size while maintaining high spatial resolution. The research demonstrates, for the first time, the feasibility and advantages of iterative image reconstruction algorithms in three-dimensional PACT.
The concept of photoacoustic tomography (PAT) emerged in the mid-1990s, and the field of PAT is now rapidly moving forward. Presenting the research of a well-respected pioneer and leading expert, Photoacoustic Tomography is a first-of-its-kind book covering the underlying principles and practical applications of PAT in a systematic manner. Written in a tutorial format, the text: Addresses the fundamentals of PAT, the theory on photoacoustic effect, image reconstruction methods, and instrumentation Details advanced methods for quantitative PAT, which allow the recovery of tissue optical absorption coefficient and/or acoustic properties Explores the development of several image-enhancing schemes, including both software and hardware approaches Examines array-based PAT systems that are the foundation for the realization of 2-D, 3-D, and 4-D PAT Discusses photoacoustic microscopy (PAM) and combinations of PAT/PAM with other imaging methods Considers contrast-agents-based molecular PAT, with both nontargeted and cell receptor–targeted methods Describes clinical applications and animal studies in breast cancer detection, osteoarthritis diagnosis, seizure localization, intravascular imaging, and image-guided cancer therapy Photoacoustic Tomography is an essential reference for graduate students, researchers, industry professionals, and those who wish to enter this exciting field.
3D Imaging, Analysis and Applications brings together core topics, both in terms of well-established fundamental techniques and the most promising recent techniques in the exciting field of 3D imaging and analysis. Many similar techniques are being used in a variety of subject areas and applications and the authors attempt to unify a range of related ideas. With contributions from high profile researchers and practitioners, the material presented is informative and authoritative and represents mainstream work and opinions within the community. Composed of three sections, the first examines 3D imaging and shape representation, the second, 3D shape analysis and processing, and the last section covers 3D imaging applications. Although 3D Imaging, Analysis and Applications is primarily a graduate text, aimed at masters-level and doctoral-level research students, much material is accessible to final-year undergraduate students. It will also serve as a reference text for professional academics, people working in commercial research and development labs and industrial practitioners.
The ability to visualize, non-invasively, human internal organs in their true from and shape has intrigued mankind for centuries. While the recent inventions of medical imaging modalities such as computerized tomography and magnetic resonance imaging have revolutionized radiology, the development of three-dimensional (3D) imaging has brought us closer to the age-old quest of non-invasive visualization. The ability to not only visualize but to manipulate and analyze 3D structures from captured multidimensional image data, is vital to a number of diagnostic and therapeutic applications. 3D Imaging in Medicine, Second Edition, unique in its contents, covers both the technical aspects and the actual medical applications of the process in a single source. The value of this technology is obvious. For example, three dimensional imaging allows a radiologist to accurately target the positioning and dosage of chemotherapy as well as to make more accurate diagnoses by showing more pathology; it allows the vascular surgeon to study the flow of blood through clogged arteries; it allows the orthopedist to find all the pieces of a compound fracture; and, it allows oncologists to perform less invasive biopsies. In fact, one of the most important uses of 3D Imaging is in computer-assisted surgery. For example, in cancer surgery, computer images show the surgeon the extent of the tumor so that only the diseased tissue is removed. In short, 3D imaging provides clinicians with information that saves time and money. 3D Imaging in Medicine, Second Edition provides a ready reference on the fundamental science of 3D imaging and its medical applications. The chapters have been written by experts in the field, and the technical aspects are covered in a tutorial fashion, describing the basic principles and algorithms in an easily understandable way. The application areas covered include: surgical planning, neuro-surgery, orthopedics, prosthesis design, brain imaging, analysis of cardio-pulmonary structures, and the assessment of clinical efficacy. The book is designed to provide a quick and systematic understanding of the principles of biomedical visualization to students, scientists and researchers, and to act as a source of information to medical practitioners on a wide variety of clinical applications of 3D imaging.
Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ in detail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology. Computational Methods for Three-Dimensional Microscopy Reconstruction will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in the area of 3D imaging and modeling.
This book highlights the use of LEDs in biomedical photoacoustic imaging. In chapters written by key opinion leaders in the field, it covers a broad range of topics, including fundamentals, principles, instrumentation, image reconstruction and data/image processing methods, preclinical and clinical applications of LED-based photoacoustic imaging. Apart from preclinical imaging studies and early clinical pilot studies using LED-based photoacoustics, the book includes a chapter exploring the opportunities and challenges of clinical translation from an industry perspective. Given its scope, the book will appeal to scientists and engineers in academia and industry, as well as medical experts interested in the clinical applications of photoacoustic imaging.
Three-Dimensional Imaging Techniques provides an overview of the development and practical applications of three-dimensional imaging techniques. This text deals with holographic and nonholographic techniques, with a focus on efficiency, speckle noise, resolution, white-light reconstruction, white-light recording, and color holography. This book is comprised of nine chapters, wherein Chapter 1 provides a brief history of information media in human society. Chapter 2 presents the history of depth perception and the principle of the Wheatstone stereoscope, and Chapter 3 examines the construction of human eyes as the most important source of depth perception. Chapter 4 focuses on the optimum design of lens-sheet pictures, whereas Chapters 5 and 6 examine the technical drawbacks that limit the versatility in three-dimensional imaging technology. The features of holographic techniques, such as holographic stereoscreens and computer-generated holograms, are discussed in Chapters 7 and 8. Finally, Chapter 9 discusses the possible classifications based on applications, including microscopy, television, X-ray imaging, movies, and acoustical imaging. This book is intended for electronic engineers, researchers, and readers who are interested in the field of three-dimensional imaging.
Photoacoustic tomography, which detects non-radiative decay, is an emerging biomedical imaging modality that can provide 3D ultrasonically scalable images of biological tissue ranging from organelles to organs. Pure optical imaging modalities (e.g., optical coherence tomography and diffuse optical tomography) encounter a fundamental limitation of either penetration or spatial resolution at depths beyond one optical transport mean free path (~1 mm) due to strong light scattering by biological tissue. Photoacoustic imaging, however, provides a high ultrasonic spatial resolution for deep imaging by utilizing ultrasonic detection of the photoacoustic waves generated by absorbed diffuse light. By exploiting the rich optical absorption contrasts of biomolecules, photoacoustic imaging has been used to image both biological structure (e.g., internal organs and sentinel lymph nodes) and function (e.g., tumor hypoxia and brain oxygenation). The ability of photoacoustic imaging (photoacoustic microscopy and photoacoustic computed tomography) systems, to render three-dimensional volumetric images relies on illuminating light-absorbing chromophores using a pulsed laser system and recording the photoacoustic time-of-flight signals on a twodimensional surface facing the photoacoustic source. My doctoral research focuses on hardware advances in both exciting and detecting photoacoustic signals. Förster resonance energy transfer (FRET) imaging in deep biological tissue using photoacoustic techniques is also explored. This first part of my dissertation presents some novel photoacoustic excitation and detection technologies implemented in photoacoustic imaging. Fiber lasers have been proposed as a fast and compact alternative to current excitation sources for photoacoustic imaging, especially in the clinical environment. Its intrinsic optical-fiberbased amplification and output make the system easy to maintain. We developed a 1064 nm photoacoustic microscope based on a fiber laser system, which features a pulse repetition rate of 50 kHz. We demonstrated detection of circulating melanoma cells in blood. Photoacoustic and fluorescence imaging provide complementary optical absorption and fluorescence contrasts, respectively. We developed a dual modality imaging system that combines photoacoustic and fluorescence microscopy. The two sub-systems are naturally integrated by sharing the same laser source, objective lens and image scanner. We reported in vivo imaging of hemoglobin oxygen saturation and oxygen partial pressure in single blood vessels. Spectral (multi-wavelength) photoacoustic imaging must possess high wavelength-switching speed when applied in dynamic functional imaging. We implemented a digital-mirror-device (DMD)-based spectral-encoding photoacoustic imaging system. As a wavelength multiplexing element, DMD features a fast frame rate and pixelated manipulation flexibility. Compared with internal wavelength tuning of a narrow-band laser, external wavelength tuning based on a digital mirror device improves the data acquisition speed of spectral photoacoustic microscopy. Compared with external wavelength scanning of a wide-band laser with the same pulse energy, spectral encoding improves the signal-to-noise ratio. A twodimensional (2D) array transducer can acquire three-dimensional (3D) photoacoustic imaging without mechanical scanning; therefore, by using a small number of laser firings, higher imaging frame rates can be achieved. We presented an integrated photoacoustic and ultrasonic 3D volumetric imaging system based on a modified commercial ultrasound imaging system (iU22, Philips Healthcare) with a 2D array transducer (X7-2, Philips Healthcare). The imaging system enables rendering of coregistered 3D ultrasound and photoacoustic images. In vivo 3D photoacoustic mapping of the sentinel lymph node using methylene blue dye was demonstrated in a rat model. The second part of my dissertation focuses on photoacoustic Förster resonance energy transfer (FRET) imaging. FRET provides fluorescence signals sensitive to intra- and inter-molecular distances in the 1-10 nm range. Widely applied in the optical imaging environment, FRET enables visualization of physicochemical processes in molecular interactions and conformations. We reported photoacoustic imaging of FRET, based on non-radiative decay that produces heat and subsequent acoustic waves. The experimental results show that photoacoustic imaging, through its ability to threedimensionally image tissue with scalable resolution, provides a beneficial biomedical tool to broaden the in vivo application of the FRET technique.