Multi Modality Imaging
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Multi Modality Imaging
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Author : Mauren Abreu de Souza
language : en
Publisher: Springer
Release Date : 2018-11-29
Multi Modality Imaging written by Mauren Abreu de Souza and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-29 with Medical categories.
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.
Multimodality Imaging
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Author : Qifa Zhou
language : en
Publisher:
Release Date : 2020
Multimodality Imaging written by Qifa Zhou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Blood-vessels categories.
This book provides a state-of-the-art overview of the combined use of imaging modalities to obtain important functional and morphological information on intravascular disease and enhance disease detection. It discusses the integration of intravascular ultrasound (IVUS, intravascular optical coherence tomography (OCT), intravascular photoacoustic imaging (IVPA) and acoustic radiation force optical coherence elastography (ARF-OCE), and introduces the integration of multimodality imaging systems, such as IR and florescence. It includes the latest research advances and numerous imaging photos to offer readers insights into current intravascular applications. It is a valuable resource for students, scientists and physicians wanting to gain a deeper understanding of multimodality imaging tools.
Multimodality Imaging For Cardiac Valvular Interventions Volume 1 Aortic Valve
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Author : Francesco Maisano
language : en
Publisher: Springer Nature
Release Date : 2020-02-10
Multimodality Imaging For Cardiac Valvular Interventions Volume 1 Aortic Valve written by Francesco Maisano and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-10 with Medical categories.
This book provides a practically applicable guide to the use of multimodality imaging for managing aortic valve disorders. Details of how to successfully diagnose a range of aortic valve diseases is presented, with detailed information covered on the techniques and relevant criteria for pre-operative screening, surgical and transcatheter planning, intraprocedural imaging and related postoperative follow-up. Multimodality Imaging for Cardiac Valvular Interventions, Volume 1 Aortic Valve: From Diagnosis to Decision-Making enables the reader to develop a thorough understanding and confidence of how to make appropriate clinical decisions when confronted by a range of aortic valve diseases. It is therefore a key resource for practicing cardiac imagers, cardiologists and interventional cardiologists who encounter these patients in their day-to-day clinical practice and trainees in cardiology seeking insight on the appropriate management of these patients.
Cardiac Imaging
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Author : Manfred Thelen
language : en
Publisher: Thieme
Release Date : 2011-01-01
Cardiac Imaging written by Manfred Thelen and has been published by Thieme this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-01 with Medical categories.
Written by an interdisciplinary team of experts, Cardiac Imaging: A Multimodality Approach features an in-depth introduction to all current imaging modalities for the diagnostic assessment of the heart as well as a clinical overview of cardiac diseases and main indications for cardiac imaging. With a particular emphasis on CT and MRI, the first part of the atlas also covers conventional radiography, echocardiography, angiography and nuclear medicine imaging. Leading specialists demonstrate the latest advances in the field, and compare the strengths and weaknesses of each modality. The book's second part features clinical chapters on heart defects, endocarditis, coronary heart disease, cardiomyopathies, myocarditis, cardiac tumors, pericardial diseases, pulmonary vascular diseases, and diseases of the thoracic aorta. The authors address anatomy, pathophysiology, and clinical features, and evaluate the various diagnostic options.Key features: Highly regarded experts in cardiology and radiology offer image-based teaching of the latest techniques Readers learn how to decide which modality to use for which indication Visually highlighted tables and essential points allow for easy navigation through the text More than 600 outstanding images show up-to-date technology and current imaging protocols Cardiac Imaging: A Multimodality Approach is a must-have desk reference for cardiologists and radiologists in practice, as well as a study guide for residents in both fields. It will also appeal to cardiac surgeons, general practitioners, and medical physicists with a special interest in imaging of the heart.
Segmentation Classification And Registration Of Multi Modality Medical Imaging Data
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Author : Nadya Shusharina
language : en
Publisher: Springer Nature
Release Date : 2021-03-12
Segmentation Classification And Registration Of Multi Modality Medical Imaging Data written by Nadya Shusharina and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-12 with Computers categories.
This book constitutes three challenges that were held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020*: the Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, the Learn2Reg Challenge, and the Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge. The 19 papers presented in this volume were carefully reviewed and selected form numerous submissions. The ABCs challenge aims to identify the best methods of segmenting brain structures that serve as barriers to the spread of brain cancers and structures to be spared from irradiation, for use in computer assisted target definition for glioma and radiotherapy plan optimization. The papers of the L2R challenge cover a wide spectrum of conventional and learning-based registration methods and often describe novel contributions. The main goal of the TN-SCUI challenge is to find automatic algorithms to accurately segment and classify the thyroid nodules in ultrasound images. *The challenges took place virtually due to the COVID-19 pandemic.
Musculoskeletal Imaging
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Author : Klaus Bohndorf
language : en
Publisher: Thieme
Release Date : 2011-01-01
Musculoskeletal Imaging written by Klaus Bohndorf and has been published by Thieme this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-01 with Medical categories.
Due to the multitude of bone and joint disorders and their symptomatic similarities, establishing a differential diagnosis is often problematic in daily practice. This book offers invaluable help by showing the diagnostic effectiveness of multimodality imaging across the entire spectrum of bone and joint disorders. Each clinical entity is presented as a unit, with succinct text on the left and high-quality, labeled images on the right. A consistent structure featuring pathology, clinical findings, radiology, nuclear medicine, MRI, and differential diagnosis offers quick access to the information you need for any given bone, joint, or soft tissue disease. More than 1,300 high-quality radiologic images and two-color drawings that allow you to visualize each disorder. Key information presented in just 404 pages, saving you the time and inconvenience of wading through large texts. Useful tables summarizing radiologic findings for each disorder.All-inclusive coverage, with in-depth treatment of such important areas as trauma.
Big Data In Multimodal Medical Imaging
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2019-11-05
Big Data In Multimodal Medical Imaging written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Computers categories.
There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.
Imaging Of Bones And Joints
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Author : Klaus Bohndorf
language : en
Publisher: Thieme
Release Date : 2016-06-15
Imaging Of Bones And Joints written by Klaus Bohndorf and has been published by Thieme this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-15 with Medical categories.
Imaging of Bones and Joints: A Concise, Multimodality Approach This book is unique. It will guide you through the essentials of musculoskeletal imaging using a multimodality approach. Organized by categories of musculoskeletal disorders, it uses a "findings within-the-image" method to help you identify the typical imaging features of each condition. As a comprehensive reference compiled by well-known specialists in the field, it is useful for both practicing radiologists and those in training. Focus on the essentials Provides a solid foundation of what the radiologist needs to know when interpreting musculoskeletal imaging studies, including the indications for when to use various imaging modalities. "Findings within the image" An excellent presentation method for learning to interpret bone and joint images. Find it quickly In addition to a detailed text and high-quality images, important points are summarized in boxes, tables, and illustrative figures for quick reference. Extra features are included on the Thieme MediaCenter An additional 338 images along with supplemental text and references are provided online on the Thieme MediaCenter. Special Features All chapters are written by leading international authors. A comprehensive, multimodality approach is used. Over 2100 brilliant, state-of-the-art images are provided, including a multitude of MR images.
Deep Neural Networks For Multimodal Imaging And Biomedical Applications
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Author : Suresh, Annamalai
language : en
Publisher: IGI Global
Release Date : 2020-06-26
Deep Neural Networks For Multimodal Imaging And Biomedical Applications written by Suresh, Annamalai and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-26 with Computers categories.
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
Hybrid Imaging In Cardiovascular Medicine
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Author : Yi-Hwa Liu
language : en
Publisher: CRC Press
Release Date : 2017-10-31
Hybrid Imaging In Cardiovascular Medicine written by Yi-Hwa Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-31 with Medical categories.
This comprehensive book focuses on multimodality imaging technology, including overviews of the instruments and methods followed by practical case studies that highlight use in the detection and treatment of cardiovascular diseases. Chapters cover PET-CT, SPECT-CT, SPECT-MRI, PET-MRI, PET-optical imaging, SPECT-optical imaging, photoacoustic Imaging, and hybrid intravascular imaging. It also addresses the important issues of multimodality imaging probes and image quantification. Readers from radiology and cardiology as well as medical imaging and biomedical engineering will learn essentials of the field. They will be shown how the field has advanced quantitative analysis of molecularly targeted imaging through improvements in the reliability and reproducibility of imaging data. Moreover, they will be presented with quantification algorithms and case illustrations, including coverage of such topics such as multimodality image fusion and kinetic modeling. Yi-Hwa Liu, PhD is Senior Research Scientist in Cardiovascular Medicine at Yale University School of Medicine and Technical Director of Nuclear Cardiology at Yale New Haven Hospital. He is also an Associate Professor (Adjunct) of Biomedical Imaging and Radiological Sciences at National Yang-Ming University, Taipei, Taiwan, and Professor (Adjunct) of Biomedical Engineering at Chung Yuan Christian University, Taoyuan, Taiwan. He is an elected senior member of Institute of Electrical and Electronic Engineers (IEEE) and a full member of Sigma Xi of The Scientific Research Society of North America. Albert J. Sinusas, M.D., FACC, FAHA is Professor of Medicine (Section of Cardiovascular Medicine) and Radiology and Biomedical Imaging, at Yale University School of Medicine, and Director of the Yale Translational Research Imaging Center (Y-TRIC), and Director of Advanced Cardiovascular Imaging at Yale New Haven Hospital. He is a recipient of the Society of Nuclear Medicine’s Hermann Blumgart Award.