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Biomedical Image Analysis
by Aly A. FaragIdeal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis, covering segmentation, registration and visualisation, and focusing on the key theories, algorithms and applications that have emerged from recent progress in computer vision, imaging and computational biomedical science. Structured around five core building blocks - signals, systems, image formation and modality; stochastic models; computational geometry; level set methods; and tools and CAD models - it provides a solid overview of the field. Mathematical and statistical topics are presented in a straightforward manner, enabling the reader to gain a deep understanding of the subject without becoming entangled in mathematical complexities. Theory is connected to practical examples in x-ray, ultrasound, nuclear medicine, MRI and CT imaging, removing the abstract nature of the models and assisting reader understanding, whilst computer simulations, online course slides and a solution manual provide a complete instructor package.
Biomedical Image Analysis (Biomedical Engineering)
by Rangaraj M. RangayyanComputers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges.Biomedical Image Analysis demonstr
Biomedical Image Analysis Recipes in MATLAB: For Life Scientists and Engineers
by Constantino Carlos Reyes-AldasoroAs its title suggests, this innovative book has been written for life scientists needing to analyse their data sets, and programmers, wanting a better understanding of the types of experimental images life scientists investigate on a regular basis. Each chapter presents one self-contained biomedical experiment to be analysed. Part I of the book presents its two basic ingredients: essential concepts of image analysis and Matlab. In Part II, algorithms and techniques are shown as series of "recipes" or solved examples that show how specific techniques are applied to a biomedical experiments like Western Blots, Histology, Scratch Wound Assays and Fluoresence. Each recipe begins with simple techniques that gradually advance in complexity. Part III presents some advanced techniques for the generation of publication quality figures. The book does not assume any computational or mathematical expertise. A practical, clearly-written introduction to biomedical image analysis that provides the tools for life scientists and engineers to use when solving problems in their own laboratories. Presents the basic concepts of MATLAB software and uses it throughout to show how it can execute flexible and powerful image analysis programs tailored to the specific needs of the problem. Within the context of four biomedical cases, it shows algorithms and techniques as series of "recipes", or solved examples that show how a particular technique is applied in a specific experiment. Companion website containing example datasets, MATLAB files and figures from the book.
Biomedical Image Analysis: Special Applications in MRIs and CT scans (Brain Informatics and Health)
by Pritpal SinghThis book provides an in-depth study of biomedical image analysis. Itreviews and summarizes previous research work in biomedical image analysis andalso provides a brief introduction to other computation techniques, such asfuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantumoptimization algorithm, focusing on how these techniques can be integrated intodifferent phases of the biomedical image analysis. In particular, this bookdescribes novel methods resulting from the fuzzy sets, neutrosophic sets,clustering algorithm and fast forward quantum optimization algorithm. It alsodemonstrates how a new quantum-clustering based model can be successfullyapplied in the context of clustering the COVID-19 CT scans. Thanks to itseasy-to-read style and the clear explanations of the models, the book can beused as a concise yet comprehensive reference guide to biomedical imageanalysis, and will be valuable not only for graduate students, but also forresearchers and professionals working for academic, business and governmentinstitutes and medical colleges.
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27–October 1, 2021, Proceedings (Lecture Notes in Computer Science #13166)
by Marc Aubreville David Zimmerer Mattias HeinrichThis book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2021), Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.
Biomedical Image Registration: 10th International Workshop, WBIR 2022, Munich, Germany, July 10–12, 2022, Proceedings (Lecture Notes in Computer Science #13386)
by Daniel Rueckert Enzo Ferrante Julia Schnabel Mattias Heinrich Alessa Hering Miaomiao ZhangThis book constitutes the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Munich, Germany, in July 2022.The 11 full and poster papers together with 17 short papers included in this volume were carefully reviewed and selected from 32 submitted papers. The papers are organized in the following topical sections: optimization, deep learning architectures, neuroimaging, diffeomorphisms, uncertainty, topology and metrics.
Biomedical Image Registration: 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings (Lecture Notes in Computer Science #15249)
by Marc Modat Ivor Simpson Žiga Špiclin Alessa Hering Wietske Bastiaansen Tony C. W. MokThis book constitutes the refereed proceedings of the 11th International Workshop on Biomedical Image Registration, WBIR 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 28 full papers presented in this book were carefully reviewed and selected from 32 submissions. These papers have been categorized under the following topical sections: Architectures; Robustness; Atlas/ Fusion; Feature/ Similarity Learning & Efficiency.
Biomedical Image Registration: 8th International Workshop, WBIR 2018, Leiden, The Netherlands, June 28-29, 2018, Proceedings (Lecture Notes in Computer Science #10883)
by Stefan Klein Stanley Durrleman Stefan Sommer Marius StaringThis book constitutes the refereed proceedings of the 8th International Workshop on Biomedical Image Registration, WBIR 2018, held in Leiden, The Netherlands, in June 2018. The 11 full and poster papers included in this volume were carefully reviewed and selected from 17 submitted papers. The papers are organized in the following topical sections: Sliding Motion, Groupwise Registration, Acceleration, and Applications and Evaluation.
Biomedical Image Registration: 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings (Lecture Notes in Computer Science #12120)
by Orcun Goksel Žiga Špiclin Jamie McClelland Jan KybicThis book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portorož, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic. The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion.
Biomedical Image Segmentation: Advances and Trends
by Jasjit S. Suri Xiaoyi Jiang Ayman El-BazAs one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.
Biomedical Image Understanding
by Wei Xiong Joo-Hwee Lim Sim-Heng OngWith contributions from experts in China, France, Italy, Japan, Singapore, the United Kingdom, and the United States, Biomedical Image Understanding: * Addresses motion tracking and knowledge-based systems, two areas which are not covered extensively elsewhere in a biomedical context* Describes important clinical applications, such as virtual colonoscopy, ocular disease diagnosis, and liver tumor detection* Contains twelve self-contained chapters, each with an introduction to basic concepts, principles, and methods, and a case study or application
Biomedical Imaging
by Reiner SalzerThis book presents and describes imaging technologies that can be used to study chemical processes and structural interactions in dynamic systems, principally in biomedical systems. The imaging technologies, largely biomedical imaging technologies such as MRT, Fluorescence mapping, raman mapping, nanoESCA, and CARS microscopy, have been selected according to their application range and to the chemical information content of their data. These technologies allow for the analysis and evaluation of delicate biological samples, which must not be disturbed during the profess. Ultimately, this may mean fewer animal lab tests and clinical trials.
Biomedical Imaging (Principles and Applications in Engineering)
by Robert Plonsey Karen M. Mudry Joseph D. BronzingComprised of chapters carefully selected from CRC‘s best-selling engineering handbooks, volumes in the Principles and Applications in Engineering series provide convenient, economical references sharply focused on particular engineering topics and subspecialties. Culled from the Biomedical Engineering Handbook, Biomedical Imaging
Biomedical Imaging and Computational Modeling in Biomechanics (Lecture Notes in Computational Vision and Biomechanics #4)
by Daniela Iacoviello Ugo AndreausThis book collects the state-of-art and new trends in image analysis and biomechanics. It covers a wide field of scientific and cultural topics, ranging from remodeling of bone tissue under the mechanical stimulus up to optimizing the performance of sports equipment, through the patient-specific modeling in orthopedics, microtomography and its application in oral and implant research, computational modeling in the field of hip prostheses, image based model development and analysis of the human knee joint, kinematics of the hip joint, micro-scale analysis of compositional and mechanical properties of dentin, automated techniques for cervical cell image analysis, and biomedical imaging and computational modeling in cardiovascular disease. The book will be of interest to researchers, Ph.D students, and graduate students with multidisciplinary interests related to image analysis and understanding, medical imaging, biomechanics, simulation and modeling, experimental analysis
Biomedical Imaging in Experimental Neuroscience (Frontiers in Neuroscience)
by Bruggen Timothy RobertsWith the emergence of genetically manipulated laboratory mice as one of the most powerful tools for neuroscientists, imaging techniques capable of providing anatomical and functional information of small animals have become extremely important. Emphasizing data analysis and interpretation, Biomedical Imaging in Experimental Neuroscience presents a comprehensive review of the noninvasive biomedical imaging techniques available for laboratory animal research. It covers the scope and limitations of these methods and analyzes their impact on in vivo neuroscience research. The book also provides a concise theoretical description of the pertinent physics.
Biomedical Imaging: Advances in Artificial Intelligence and Machine Learning (Biological and Medical Physics, Biomedical Engineering)
by Ankur Gogoi Nirmal MazumderThis book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan—making it increasingly difficult for experts to analyze and interpret. In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity. The hallmark of this book will be the contributions from international leaders on different AI-aided advanced biomedical imaging modalities and techniques. Included will be comprehensive description of several of the technology-driven spectacular advances made over the past few years that have allowed early detection and delineation of abnormalities with sub-pixel image segmentation and classification. Starting from the fundamentals of biomedical image processing, the book presents a streamlined and focused coverage of the core principles, theoretical and experimental approaches, and state-of-the-art applications of most of the currently used biomedical imaging techniques powered by AI.
Biomedical Imaging: Principles and Advancements
by Juliana Carneiro Gomes Wellington Pinheiro dos Santos Maíra Araújo de Santana Clarisse Lins de Lima"Biomedical Imaging: Principles and Advancements" offers a captivating exploration of the intricate landscapes within the human body, revealing the transformative power of biomedical imaging. Edited by Wellington Pinheiro dos Santos, Juliana Carneiro Gomes, Maíra Araújo de Santana, and Clarisse Lins de Lima, this anthology delves into foundational concepts, from acquisition to ethical considerations, paving the way for in-depth examinations of magnetic resonance imaging, infrared thermography, and electrical impedance tomography. The real-world applications covered in Section II, from Alzheimer's diagnosis to Covid-19 assessment, showcase the diverse impact of these imaging techniques on healthcare. A collective effort, this volume inspires continued exploration in the ever-evolving field of biomedical imaging.
Biomedical Implants: Materials, Design, and Manufacturing
by Ravi K. Dwivedi, Premanand S. Chauhan, Avadesh K. Sharma, Madhavi Singh, and Anupma AgarwalThis book provides a comprehensive overview of the development of implants, from the selection of materials to the outcome of the process. It covers various steps, including biocompatible material, synthesis, and characterization, compatibility and limitations of materials, specific implants, and finite element analysis of medical implants. It also presents a comparison between predictions and experimental results by studying real-world problems and addresses the issue of sustainability in implant manufacturing, process modeling, and optimization in additive manufacturing supported by case studies. Features:• Covers the development of implants from the selection of material to the suitable process of manufacturing technologies.• Includes biocompatible material, synthesis, characterization, compatibility, and limitations of materials.• Reviews biofabrication in terms of artificial organs and soft tissues.• Discusses implant manufacturing, including additive and micro-manufacturing and failure analysis through case studies.• Addresses the issue of sustainability in implant manufacturing. This book is intended for researchers and graduate students specializing in mechanical, biomedical, healthcare engineering, biomaterials, and additive manufacturing.
Biomedical Informatics (Methods in Molecular Biology #569)
by Vadim AstakhovIn past decades, the area of bioinformatics has proved to be both dynamic and vital, producing a wide spectrum of novel approaches and assuming an increasingly important role in modern bio-technological development. In Biomedical Informatics, expert researchers explore cutting-edge new advances in the field, providing an overview of novel cyberinfrastructures which are currently under development in various bio-medical centers across the world. Chapters demonstrate various architectures for large-scale collaboration, offer modern approaches currently used in various areas of bioinformatics, and highlight the software challenges associated with large-scale biomedical informatics. Composed in the highly successful Methods in Molecular BiologyTM series format, chapters include a brief introduction, detailed methods, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls. Wide-ranging and innovative, Biomedical Informatics is an essential manual for newcomers to this area, as well as an invaluable addition to the laboratories and offices of the most practiced researchers.
Biomedical Informatics for Cancer Research
by Michael F. Ochs Ramana V. Davuluri John T. CasagrandeThis book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research. With the advent of high-throughput technologies in biomedicine, the need for data management and appropriate data analysis tools in genomics has increased dramatically, joining clinical trials data as a major driver of informatics at cancer research centers. The gathering of this data requires careful encoding of metadata, usually through the use of controlled vocabularies or ontologies, as well as the linking of data from model organisms, done at both a physiological level (e.g., anatomy) and at a molecular level (e.g., orthology). This data will then find use within computational and statistical models, which require data pipelines and analysis systems, as well as algorithms, visualization methods, and computational modeling systems. We will introduce open source tools available for these aspects of the problem. The editors plan to divide the book into five sections, beginning with a section containing high level overviews of the field and key issues. This will include an introductory review of informatics in cancer research, followed by five overviews addressing issues in authentication and authorization, data management, data pipelines and annotations, algorithms and models, and the NCI caBIG initiative. This will be followed by sections dedicated to data systems, data pipelines, algorithms for analysis and visualization, and modeling systems. Each of these areas has seen publication of open source tools, ranging from the widely known R/Bioconductor package to little known but powerful systems such as SImmune for biochemical modeling. The area of laboratory information management systems has seen development of a number of unpublished but powerful systems, which we would also include. Three groups have agreed to provide chapters in this area (USC/Norris CAFE extensible clinical trials system, St Jude Unified LIMS, Fox Chase/British Columbia flow cytometry LIMS). While there has been a great deal of development of informatics tools that can be applied to problems in cancer research, there has not been adequate dissemination of details on these tools to the community. As such, there remains low adoption of all but a few tools. This book aims to increase overall adoption of tools by providing cancer center leaders and researchers with a single volume detailing both issues that must be addressed and tools that are ready for use.
Biomedical Informatics: An Introduction to Information Systems and Software in Medicine and Health
by David J. LublinerThis complete medical informatics textbook begins by reviewing the IT aspects of informatics, including systems architecture, electronic health records, interoperability, privacy and security, cloud computing, mobile healthcare, imaging, capturing data, and design issues. Next, it provides case studies that illustrate the roll out of EHRs in hospitals. The third section incorporates four anatomy and physiology lectures that focus on the physiological basis behind data captured in EHR medical records. The book includes links to documents and standards sources so students can explore each idea discussed in more detail.
Biomedical Informatics: Computer Applications in Health Care and Biomedicine
by Michael F. ChiangThis 5th edition of this essential textbook continues to meet the growing demand of practitioners, researchers, educators, and students for a comprehensive introduction to key topics in biomedical informatics and the underlying scientific issues that sit at the intersection of biomedical science, patient care, public health and information technology (IT). Emphasizing the conceptual basis of the field rather than technical details, it provides the tools for study required for readers to comprehend, assess, and utilize biomedical informatics and health IT. It focuses on practical examples, a guide to additional literature, chapter summaries and a comprehensive glossary with concise definitions of recurring terms for self-study or classroom use.Biomedical Informatics: Computer Applications in Health Care and Biomedicine reflects the remarkable changes in both computing and health care that continue to occur and the exploding interest in the role that IT must play in care coordination and the melding of genomics with innovations in clinical practice and treatment. New and heavily revised chapters have been introduced on human-computer interaction, mHealth, personal health informatics and precision medicine, while the structure of the other chapters has undergone extensive revisions to reflect the developments in the area. The organization and philosophy remain unchanged, focusing on the science of information and knowledge management, and the role of computers and communications in modern biomedical research, health and health care.
Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics)
by Edward H. Shortliffe James J. CiminoThe practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies.
Biomedical Informatics: Discovering Knowledge in Big Data (Lecture Notes in Computer Science #8401)
by Andreas HolzingerThis book provides a broad overview of the topic Bioinformatics with focus on data, information and knowledge. From data acquisition and storage to visualization, ranging through privacy, regulatory and other practical and theoretical topics, the author touches several fundamental aspects of the innovative interface between Medical and Technology domains that is Biomedical Informatics. Each chapter starts by providing a useful inventory of definitions and commonly used acronyms for each topic and throughout the text, the reader finds several real-world examples, methodologies and ideas that complement the technical and theoretical background This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges. At the beginning of each chapter a new section called "key problems", has been added, where the author discusses possible traps and unsolvable or major problems
Biomedical Innovation in Fertility Care: Evidence Challenges, Commercialization, and the Market for Hope
by Manuela PerrottaAvailable Open Access digitally under CC-BY-NC-ND licence.This book analyses the clashes between evidence-based medicine and the dynamics of an increasingly privatised fertility care industry. With a unique focus on "add-on" treatments, it reveals how these controversial treatments are now widespread and can border on hopemongering.