Multi Modality Imaging

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.

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.

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.

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.

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.

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.

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.

A complete guide to using multimodal imaging in cardiac practice 4 STAR DOODY'S REVIEW! "In addition to compiling the various imaging modalities used for clinical diagnosis in cardiovascular disease, the book also summarizes the present and future applications of combined imaging modalities for better understanding the underlying pathophysiologic basis of cardiovascular diseases....This book is unique in the way it comprehensively reviews both the current and future applications of multiple imaging modalities."--Doody's Review Service Multimodal Cardiovascular Imaging: Principles and Clinical Applications offers a unique “matrix” approach to help you choose the most appropriate combination of imaging modalities for the management of patients with cardiovascular disease. The book discusses the various options available, how they work, the benefits and drawbacks of each, and what modalities will best work in conjunction with each other for a specific condition. Featuring contributions from more than 60 international authors and enriched by 225 half-tone modality images and 130 full-color illustrations, Multimodal Cardiovascular Imaging: Principles and Clinical Applications is divided into three sections: Section 1 contains chapters that focus on the use of ten specific clinically available diagnostic modalities and their broad application to clinical cardiology. Modalities discussed include: Echocardiography Phonocardiography Myocardial Perfusion SPECT and PET Coronary Angiography Cardiac CT Section 2 includes six chapters that present “visions of the future” for combining multiple diagnostic modalities. They form the foundation for understanding the pathophysiologic basis of clinical cardiovascular conditions using prototypes, simulations, models, and tutorials. Section 3 considers several cardiovascular conditions and how multimodal imaging can provide diagnostic and therapeutic decision support to optimize the clinical care for each of them. Some chapters in this section also include case reports of how clinicians/scientists are using multimodal imaging modalities to improve their clinical therapeutic decision support. Conditions include: Congenital Heart Disease Ischemic Heart Disease Acute Myocardial Infarction Aortic Disease Atrial Fibrillation