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 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 Image Quality of Digital Breast Tomosynthesis written by Gang Wu and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Medical Image Analysis and Informatics written by Paulo Mazzoncini de Azevedo-Marques and published by CRC Press. This book was released on 2017-11-23 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.
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 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 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 Multi Modality Imaging written by Mauren Abreu de Souza and published by Springer. This book was released on 2018-11-29 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities. In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications. Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.
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 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 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 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: Optimization of Digital Breast Tomosynthesis (DBT) for Breast Cancer Diagnosis.
Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2021 written by Marleen de Bruijne and published by Springer Nature. This book was released on 2021-09-23 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
Download or read book Breast Imaging An Issue of Radiologic Clinics of North America E Book written by Christopher E. Comstock and published by Elsevier Health Sciences. This book was released on 2014-05-28 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guest edited by Christopher Comstock of Memorial Sloan-Kettering, this issue of Radiologic Clinics will provide all of the latest guidelines and techniques for breast imaging. Modalities include MRI, MR-CAD, digital tomosynthesis, and ultrasound.
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 Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers written by Stephen Boyd and published by Now Publishers Inc. This book was released on 2011 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.
