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| Author | : Mauren Abreu de Souza |
| Publisher | : Springer |
| Total Pages | : 256 |
| Release | : 2018-11-29 |
| Genre | : Medical |
| ISBN | : 331998974X |
Download Multi-Modality Imaging Book in PDF, ePub and Kindle
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.
| Author | : Qifa Zhou |
| Publisher | : |
| Total Pages | : 273 |
| Release | : 2020 |
| Genre | : Blood-vessels |
| ISBN | : 9789811063084 |
Download Multimodality Imaging Book in PDF, ePub and Kindle
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.
| Author | : Nadya Shusharina |
| Publisher | : Springer Nature |
| Total Pages | : 168 |
| Release | : 2021-03-12 |
| Genre | : Computers |
| ISBN | : 3030718271 |
Download Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data Book in PDF, ePub and Kindle
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.
| Author | : Ayman El-Baz |
| Publisher | : CRC Press |
| Total Pages | : 247 |
| Release | : 2019-11-05 |
| Genre | : Computers |
| ISBN | : 1351380729 |
Download Big Data in Multimodal Medical Imaging Book in PDF, ePub and Kindle
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.
| Author | : Francesco Maisano |
| Publisher | : Springer Nature |
| Total Pages | : 228 |
| Release | : 2020-02-10 |
| Genre | : Medical |
| ISBN | : 3030275841 |
Download Multimodality Imaging for Cardiac Valvular Interventions, Volume 1 Aortic Valve Book in PDF, ePub and Kindle
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.
| Author | : Manfred Thelen |
| Publisher | : Thieme |
| Total Pages | : 310 |
| Release | : 2011-01-01 |
| Genre | : Medical |
| ISBN | : 3131493313 |
Download Cardiac Imaging Book in PDF, ePub and Kindle
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.
| Author | : Klaus Bohndorf |
| Publisher | : Thieme |
| Total Pages | : 410 |
| Release | : 2011-01-01 |
| Genre | : Medical |
| ISBN | : 3131605510 |
Download Musculoskeletal Imaging Book in PDF, ePub and Kindle
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.
| Author | : Annamalai Suresh |
| Publisher | : Medical Information Science Reference |
| Total Pages | : 294 |
| Release | : 2020 |
| Genre | : Computers |
| ISBN | : 9781799835936 |
Download Deep Neural Networks for Multimodal Imaging and Biomedical Applications Book in PDF, ePub and Kindle
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.
| Author | : Wolfhard Semmler |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 298 |
| Release | : 2008-07-15 |
| Genre | : Medical |
| ISBN | : 3540727183 |
Download Molecular Imaging I Book in PDF, ePub and Kindle
The aim of this textbook of molecular imaging is to provide an up to date review of this rapidly growing field and to discuss basic methodological aspects necessary for the interpretation of experimental and clinical results. Emphasis is placed on the interplay of imaging technology and probe development, since the physical properties of the imaging approach need to be closely linked with the biologic application of the probe (i.e. nanoparticles and microbubbles). Various chemical strategies are discussed and related to the biologic applications. Reporter-gene imaging is being addressed not only in experimental protocols, but also first clinical applications are discussed. Finally, strategies of imaging to characterize apoptosis and angiogenesis are described and discussed in the context of possible clinical translation.
| Author | : Patrick Clarysse |
| Publisher | : John Wiley & Sons |
| Total Pages | : 370 |
| Release | : 2015-06-02 |
| Genre | : Technology & Engineering |
| ISBN | : 111857446X |
Download Multi-modality Cardiac Imaging Book in PDF, ePub and Kindle
The imaging of moving organs such as the heart, in particular, is a real challenge because of its movement. This book presents current and emerging methods developed for the acquisition of images of moving organs in the five main medical imaging modalities: conventional X-rays, computed tomography (CT), magnetic resonance imaging (MRI), nuclear imaging and ultrasound. The availability of dynamic image sequences allows for the qualitative and quantitative assessment of an organ’s dynamics, which is often linked to pathologies.
