Download or read book Modeling Digital Breast Tomosynthesis Imaging Systems for Optimization Studies written by Beverly Amy Lau and published by . This book was released on 2012 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this dissertation was to design the framework for a computer simulation of tomosynthesis that would produce images that are sensitive to changes in acquisition parameters, so an optimization study would be feasible.
Download or read book Tomosynthesis Imaging written by Ingrid Reiser and published by Taylor & Francis. This book was released on 2016-04-19 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative, three-dimensional x-ray imaging technique that enhances projection radiography by adding depth resolution, Tomosynthesis Imaging explores tomosynthesis, an emerging limited-angle tomographic imaging technology that is being considered for use in a range of clinical applications, and is currently being used for breast cancer screening
Download or read book Tomographic Image Reconstruction written by Shiya Xu and published by . This book was released on 2014 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional 2D mammography was the most effective approach to detecting early stage breast cancer in the past decades of years. Tomosynthetic breast imaging is a potentially more valuable 3D technique for breast cancer detection. The limitations of current tomosynthesis systems include a longer scanning time than a conventional digital X-ray modality and a low spatial resolution due to the movement of the single X-ray source. Dr.Otto Zhou's group proposed the concept of stationary digital breast tomosynthesis (s-DBT) using a Carbon Nano-Tube (CNT) based X-ray source array. Instead of mechanically moving a single X-ray tube, s-DBT applies a stationary X-ray source array, which generates X-ray beams from different view angles by electronically activating the individual source prepositioned at the corresponding view angle, therefore eliminating the focal spot motion blurring from sources. The scanning speed is determined only by the detector readout time and the number of sources regardless of the angular coverage spans, such that the blur from patient's motion can be reduced due to the quick scan. S-DBT is potentially a promising modality to improve the early breast cancer detection by providing decent image quality with fast scan and low radiation dose. DBT system acquires a limited number of noisy 2D projections over a limited angular range and then mathematically reconstructs a 3D breast. 3D reconstruction is faced with the challenges of cone-beam and flat-panel geometry, highly incomplete sampling and huge reconstructed volume. In this research, we investigated several representative reconstruction methods such as Filtered backprojection method (FBP), Simultaneous algebraic reconstruction technique (SART) and Maximum likelihood (ML). We also compared our proposed statistical iterative reconstruction (IR) with particular prior and computational technique to these representative methods. Of all available reconstruction methods in this research, our proposed statistical IR appears particularly promising since it provides the flexibility of accurate physical noise modeling and geometric system description. In the following chapters, we present multiple key techniques of statistical IR to tomosynthesis imaging data to demonstrate significant image quality improvement over conventional techniques. These techniques include the physical modeling with a local voxel-pair based prior with the flexibility in its parameters to fine-tune image quality, the pre-computed parameter κ incorporated with the prior to remove the data dependence and to achieve a predictable resolution property, an effective ray-driven technique to compute the forward and backprojection and an over-sampled ray-driven method to perform high resolution reconstruction with a practical region of interest (ROI) technique. In addition, to solve the estimation problem with a fast computation, we also present a semi-quantitative method to optimize the relaxation parameter in a relaxed order-subsets framework and an optimization transfer based algorithm framework which potentially allows less iterations to achieve an acceptable convergence. The phantom data is acquired with the s-DBT prototype system to assess the performance of these particular techniques and compare our proposed method to those representatives. The value of IR is demonstrated in improving the detectability of low contrast and tiny micro-calcification, in reducing cross plane artifacts, in improving resolution and lowering noise in reconstructed images. In particular, noise power spectrum analysis (NPS) indicates a superior noise spectral property of our proposed statistical IR, especially in the high frequency range. With the decent noise property, statistical IR also provides a remarkable reconstruction MTF in general and in different areas within a focus plane. Although computational load remains a significant challenge for practical development, combined with the advancing computational techniques such as graphic computing, the superior image quality provided by statistical IR will be realized to benefit the diagnostics in real clinical applications.
Download or read book Model Observer for Optimizing Digital Breast Tomosynthesis for Detection of Multifocal and Multicentric Breast Cancer written by Gezheng Wen and published by . This book was released on 2017 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of medical imaging is to acquire and display images of human anatomy and function such that they can be optimally interpreted by a trained observer, e.g., a radiologist. Start-of-art medical image quality is measured by the performance of an observer on a given clinical task. Since psychophysical studies are resource intensive, model observers are widely used as a surrogate in task-based assessment of image quality. Model observers are typically designed to detect at most one abnormality, e.g., a single lesion. However, in clinical practice, there may be multiple abnormalities in a single set of images, which can have a significant impact on treatment planning and outcomes. For example, patients with multifocal and multicentric breast cancer (MFMC), i.e., the presence of two or more tumor foci within the same breast, are more likely to undergo mastectomy rather than breast conservation therapy. Detecting multiple breast tumors is challenging because the prevalence of tumors varies significantly across breast regions, and radiologists do not know the number or location of tumors a priori. The vision of this dissertation is that digital breast tomosynthesis (DBT) has the potential to improve the detection of MFMC, and may offer advantages such as fewer false-positive findings, lower cost, and better accessibility. This dissertation focuses on the design and applications of a model observer to optimize DBT system geometries for detection of multiple breast tumors. This is significant and innovative because prior efforts to optimize DBT image quality only considered unifocal breast cancer scenarios. We highlight the following two main aspects of contributions in this dissertation: (1) We have developed a novel model observer that detects multiple abnormalities in anatomical backgrounds. (2) We have employed the extended 3D multi-lesion model observer to identify DBT system geometries that are most effective for the detection of MFMC. Our results demonstrate that the presence of more than one tumor present distinct challenges to DBT optimization, and that DBT geometries that yield images that are informative for the task of detecting unifocal breast cancer may not necessarily be informative for the task of detecting MFMC. We are validating the clinical relevance of our model observer studies with an ongoing human observer study with experienced breast imaging radiologists
Download or read book Optimization of Digital Breast Tomosynthesis DBT for Breast Cancer Diagnosis written by Nachiko Uchiyama and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comparison and Optimization of Breast Tomosynthesis Imaging Configurations Based on Computer Simulation and Analysis written by Linlin Cong and published by . This book was released on 2012 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective: Breast cancer is one of the most worldwide cancers among women and in United States it is also the second leading cause of cancer related death among women. The earlier breast cancer is detected, the better the outcome of treatment will be. So early detect technique for breast cancer is crucial. However traditional mammography as a standard and important detection technique has its own disadvantage, like motion blur with X-tube movement and only 2D information offered. But Tomosynthesis as an alternative breast cancer detection technique can overcome these disadvantages effectively. That is the reason why more and more academic concerns are put on Tomosynthesis. This paper is to research the effects of different X-tube distributions for the reconstructed images quality, expecting to offer a reference to design imaging configuration for Tomosynthesis. The reconstructed algorithm used here is maximum Likelihood Expectation Maximization (MLEM) algorithm, considering the image quality reconstructed by MLEM is the best with regards to our simulated imaging system.
Download or read book Task based Assessment and Optimization of Digital Breast Tomosynthesis written by Stefano Young and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital breast tomosynthesis (DBT) is a new technology for breast cancer screening that promises to supersede mammography to become the standard for breast imaging. DBT involves taking multiple images to synthesize a new image that represents a slice through the breast volume. The primary advantage of DBT is that it can reduce the amount of overlapping anatomy in the data, leading to improved visualization of potentially-cancerous findings. The difficulty in DBT is quantifying the advantages of the technology and determining the optimal conditions for its clinical use. This study describes a virtual trial framework for assessing and optimizing DBT technology for the specific task of detecting small, low-contrast masses in the breast. It addresses each component of the imaging chain to some degree, from the patients/phantoms to the imaging hardware to the model observers used to measure signal detectability. The main focus, however, is on quantifying tradeoffs between three key parameters that affect image quality: (1) scan angle, (2) number of projections, and (3) exposure.
Download or read book A Framework for Flexible Comparison and Optimization of X ray Digital Tomosynthesis written by Frank A. Smith and published by . This book was released on 2019 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital tomosynthesis is a novel three-dimensional imaging technology that utilizes limited number of X-ray projection images to improve the diagnosis and detection of lesions. In recent years, tomosynthesis has been used in a variety of clinical applications such as dental imaging, angiography, chest imaging, bone imaging, and breast imaging. The goal of our research is to develop a framework to enable flexible optimization and comparison of image reconstruction and imaging configurations. We developed a software framework for simulation comparison and optimization of imaging configurations that allows flexibility of X-ray parameters, detector parameters, imaging configurations, and reconstruction algorithms. Maximum likelihood expectation maximization (MLEM) algorithm is investigated for various imaging configurations based on multi-beam stationary breast tomosynthesis imaging parameters. Experiments based on different image configurations shows that our simulation combined with the MLEM algorithm can provide three-dimensional information with good image quality and has great potential to improve digital breast tomosynthesis technology. Impulse response is used to evaluate the performance of each configuration. Conclusions were made to determine the optimal image reconstruction based on the imaging configurations and associated x-ray and detector parameters.
Download or read book Digital Tomosynthesis written by Lucia Gutierrez and published by Nova Biomedical Books. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tomosynthesis is a technology that enables the acquisition of three-dimensional (3D) data from a sequence of projection images acquired at different x-ray tube angles. Tomosynthesis imaging is being actively investigated for use in a variety of clinical tasks. Chapter One of this book provides a comparison of reconstruction algorithms in terms of radiation dose reduction of x-ray tomosynthesis. Digital Breast Tomosynthesis (DBT), an emerging and improving breast imaging technology, enhances the diagnosis of early breast cancer by providing in-depth information about the overlapping dense breast tissues with no ambiguities. Chapter Two reviews population-based screening/clinical trials of digital breast tomosynthesis. The last chapter discusses image reconstruction and imaging configuration optimization with a multi-beam parallel digital breast tomosynthesis system.
Download or read book Investigation of Physical Processes in Digital X ray Tomosynthesis Imaging of the Breast written by Ioannis Sechopoulos and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Early detection is one of the most important factors in the survival of patients diagnosed with breast cancer. For this reason the development of improved screening mammography methods is one of primary importance. One problem that is present in standard planar mammography, which is not solved with the introduction of digital mammography, is the possible masking of lesions by normal breast tissue because of the inherent collapse of three-dimensional anatomy into a two-dimensional image. Digital tomosynthesis imaging has the potential to avoid this effect by incorporating into the acquired image information on the vertical position of the features present in the breast. Previous studies have shown that at an approximately equivalent dose, the contrast-detail trends of several tomosynthesis methods are better than those of planar mammography. By optimizing the image acquisition parameters and the tomosynthesis reconstruction algorithm, it is believed that a tomosynthesis imaging system can be developed that provides more information on the presence of lesions while maintaining or reducing the dose to the patient. Before this imaging methodology can be translated to routine clinical use, a series of issues and concerns related to tomosynthesis imaging must be addressed. This work investigates the relevant physical processes to improve our understanding and enable the introduction of this tomographic imaging method to the realm of clinical breast imaging. The processes investigated in this work included the dosimetry involved in tomosynthesis imaging, x-ray scatter in the projection images, imaging system performance, and acquisition geometry. A comprehensive understanding of the glandular dose to the breast during tomosynthesis imaging, as well as the dose distribution to most of the radiosensitive tissues in the body from planar mammography, tomosynthesis and dedicated breast computed tomography was gained. The analysis of the behavior of x-ray scatter in tomosynthesis yielded an in-depth characterization of the variation of this effect in the projection images. Finally, the theoretical modeling of a tomosynthesis imaging system, combined with the other results of this work was used to find the geometrical parameters that maximize the quality of the tomosynthesis reconstruction.
Download or read book Breast Tomosynthesis E Book written by Liane E Philpotts and published by Elsevier Health Sciences. This book was released on 2016-11-02 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of tomosynthesis in breast imaging is growing rapidly due to its superior ability to identify and characterize normal findings, benign lesions, and breast cancer, as well as its optimal performance with dense breast tissue. Providing unparalleled coverage of this breakthrough breast imaging modality, Breast Tomosynthesis explains how this new modality can lead to enhanced interpretation and better patient outcomes. This new reference is an indispensable guide for today's practitioner looking to keep abreast of the latest developments with correlative findings, practical interpretation tips, physics, and information on how tomosynthesis differs from conventional 2D FFDM mammography. Over 900 high-quality images offer visual guidance to effectively reading and interpreting this key imaging modality. - Includes over 900 high-quality tomosynthesis and mammography images representing the spectrum of breast imaging. - Features the latest Breast Imaging Reporting and Data System (or BI-RADS) standards updated in February 2014. - Highlights practical tips to interpreting this new modality and how it differs from 2D mammography. - Details how integration of tomosynthesis drastically changes lesion work-up and overall workflow in the department. - "Tomo Tips" boxes offer tips and pitfalls for expert clinical guidance.
Download or read book Foundations of Image Science written by Harrison H. Barrett and published by John Wiley & Sons. This book was released on 2013-06-13 with total page 1857 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the 2006 Joseph W. Goodman Book Writing Award! A comprehensive treatment of the principles, mathematics, and statistics of image science In today's visually oriented society, images play an important role in conveying messages. From seismic imaging to satellite images to medical images, our modern society would be lost without images to enhance our understanding of our health, our culture, and our world. Foundations of Image Science presents a comprehensive treatment of the principles, mathematics, and statistics needed to understand and evaluate imaging systems. The book is the first to provide a thorough treatment of the continuous-to-discrete, or CD, model of digital imaging. Foundations of Image Science emphasizes the need for meaningful, objective assessment of image quality and presents the necessary tools for this purpose. Approaching the subject within a well-defined theoretical and physical context, this landmark text presents the mathematical underpinnings of image science at a level that is accessible to graduate students and practitioners working with imaging systems, as well as well-motivated undergraduate students. Destined to become a standard text in the field, Foundations of Image Science covers: Mathematical Foundations: Examines the essential mathematical foundations of image science Image Formation–Models and Mechanisms: Presents a comprehensive and unified treatment of the mathematical and statistical principles of imaging, with an emphasis on digital imaging systems and the use of SVD methods Image Quality: Provides a systematic exposition of the methodology for objective or task-based assessment of image quality Applications: Presents detailed case studies of specific direct and indirect imaging systems and provides examples of how to apply the various mathematical tools covered in the book Appendices: Covers the prerequisite material necessary for understanding the material in the main text, including matrix algebra, complex variables, and the basics of probability theory
Download or read book Digital Breast Tomosynthesis written by Alberto Tagliafico and published by Springer. This book was released on 2016-05-03 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive description of the screening and clinical applications of digital breast tomosynthesis (DBT) and offers straightforward, clear guidance on use of the technique. Informative clinical cases are presented to illustrate how to take advantage of DBT in clinical practice. The importance of DBT as a diagnostic tool for both screening and diagnosis is increasing rapidly. DBT improves upon mammography by depicting breast tissue on a video clip made of cross‐sectional images reconstructed in correspondence with their mammographic planes of acquisition. DBT results in markedly reduced summation of overlapping breast tissue and offers the potential to improve mammographic breast cancer surveillance and diagnosis. This book will be an excellent practical teaching guide for beginners and a useful reference for more experienced radiologists.
Download or read book Clinical Breast Tomosynthesis written by Lonie R. Salkowski and published by Thieme. This book was released on 2017-08-03 with total page 2123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case studies provide a stellar resource for mastering clinical breast tomosynthesis technology Digital breast tomosynthesis (DBT), popularly called "3D mammography" is a state-of-the-art breast imaging technology that provides the ability to view inside the breast, layer by layer. Advantages of DBT include elimination of superimposed tissue, improved detection of otherwise hidden lesions, and significantly higher cancer detection rates compared to conventional mammography. Although it is increasingly being implemented in imaging centers, hands-on clinical learning tools have been lacking - until now. Written by renowned breast imaging specialists, this multimedia textbook is the most definitive DBT reference available. The first section is dedicated to DBT fundamentals, including physics, reconstruction methods, acquisition parameters, and patient dose and data size considerations. The next two sections are case-based clinical practice presentations, organized by DBT screening and diagnostic components. Key Features The use of 3D breast imaging to detect and differentiate malignancies from normal and benign findings 100 case studies include pertinent clinical information, introductory images, and findings labeled on subsequent images with BI-RADS terminology Full field digital mammography and/or synthetic 2D mammogram images included in all case studies mirror what is typically encountered in DBT breast-imaging programs Clinical pearls on navigating the technology, interpreting images, making diagnoses, and decisions regarding follow-up studies Accompanying online videos further elucidate the still images This remarkable, interactive reference is a must-have for trainee and practicing radiologists and will also benefit mammography technicians. The detailed case studies and videos demonstrate the full utility of DBT as a screening and diagnostic technology in context with mammography, ultrasound, and MRI of the breast.
Download or read book Digital Breast Tomosynthesis written by Joerg Barkhausen and published by Thieme. This book was released on 2015-11-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Breast Tomosynthesis: Technique and Cases is a comprehensive and timely introduction to a significant technological advance in breast cancer imaging. This state-of-the-art guide explains the technique of digital breast tomosynthesis (DBT), describes results from available clinical studies, offers recommendations for the use of DBT in routine practice, and discusses the latest developments and possible future trends in DBT. The main part of the book contains 45 highly illustrated case reports that allow readers to explore the practical aspects of DBT and deepen their knowledge of this important new modality in breast imaging. Key Features: Presents 45 superbly illustrated case reports showcasing the application of DBT to clinical practice Examines the results of all currently available clinical trials and studies Evaluates the use of DBT alongside mammography and versus mammography Includes high-quality images from the various modalities in breast imaging: 2D mammography, DBT, and ultrasound, to enable comparison of their strengths and limitations Combines expertise in the fields of radiology and gynecology with an interdisciplinary team of contributors Provides video clips of the DBT data set for most cases on the Thieme MediaCenter Authoritative and up to date, this volume is essential for radiology practitioners, residents, and fellows who wish to learn about the potential of DBT and stay at the forefront of technological developments in their field. The wealth of clinically relevant information is useful for any radiologist considering the establishment of DBT as a new imaging tool in their practice.
Download or read book System Optimization and Iterative Image Reconstruction in Photoacoustic Computed Tomography for Breast Imaging written by Yang Lou (Biomedical engineer) and published by . This book was released on 2017 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photoacoustic computed tomography(PACT), also known as optoacoustic tomography (OAT), is an emerging imaging technique that has developed rapidly in recent years. The combination of the high optical contrast and the high acoustic resolution of this hybrid imaging technique makes it a promising candidate for human breast imaging, where conventional imaging techniques including X-ray mammography, B-mode ultrasound, and MRI suffer from low contrast, low specificity for certain breast types, and additional risks related to ionizing radiation. Though significant works have been done to push the frontier of PACT breast imaging, it is still challenging to successfully build a PACT breast imaging system and apply it to wide clinical use because of various practical reasons. First, computer simulation studies are often conducted to guide imaging system designs, but the numerical phantoms employed in most previous works consist of simple geometries and do not reflect the true anatomical structures within the breast. Therefore the effectiveness of such simulation-guided PACT system in clinical experiments will be compromised. Second, it is challenging to design a system to simultaneously illuminate the entire breast with limited laser power. Some heuristic designs have been proposed where the illumination is non-stationary during the imaging procedure, but the impact of employing such a design has not been carefully studied. Third, current PACT imaging systems are often optimized with respect to physical measures such as resolution or signal-to-noise ratio (SNR). It would be desirable to establish an assessing framework where the detectability of breast tumor can be directly quantified, therefore the images produced by such optimized imaging systems are not only visually appealing, but most informative in terms of the tumor detection task. Fourth, when imaging a large three-dimensional (3D) object such as the breast, iterative reconstruction algorithms are often utilized to alleviate the need to collect densely sampled measurement data hence a long scanning time. However, the heavy computation burden associated with iterative algorithms largely hinders its application in PACT breast imaging. This dissertation is dedicated to address these aforementioned problems in PACT breast imaging. A method that generates anatomically realistic numerical breast phantoms is first proposed to facilitate computer simulation studies in PACT. The non-stationary illumination designs for PACT breast imaging are then systematically investigated in terms of its impact on reconstructed images. We then apply signal detection theory to assess different system designs to demonstrate how an objective, task-based measure can be established for PACT breast imaging. To address theslow computation time of iterative algorithms for PACT imaging, we propose an acceleration method that employs an approximated but much faster adjoint operator during iterations, which can reduce the computation time by a factor of six without significantly compromising image quality. Finally, some clinical results are presented to demonstrate that the PACT breast imaging can resolve most major and fine vascular structures within the breast, along with some pathological biomarkers that may indicate tumor development.
Download or read book Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images written by D. Jude Hemanth and published by Elsevier. This book was released on 2023-11-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications. - Presents novel ideas for AI based mammogram data analysis - Discusses the roles deep learning and machine learning techniques play in efficient processing of mammogram images and in the accurate defining of different types of breast cancer - Features dozens of real-world case studies from contributors across the globe
