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Books > Medicine > Other branches of medicine > Medical imaging > General
This issue of Neuroimaging Clinics of North America focuses on Temporal Bone Imaging: Clinicoradiologic and Surgical Considerations, and is edited by Drs. Gul Moonis and Amy Fan-Yee Juliano. Articles will include: Imaging of Temporal Bone Infection Inflammation; Imaging of Meniere's Disease; Treatment of Vestibular Schwannoma; Post Operative Imaging of the Temporal Bone; Otosclerosis and Dysplasias of the Temporal Bone; Imaging of Syndromes with Temporal Bone Abnormalities; Imaging of Third Window Lesions; Imaging of Tinnitus; Imaging of Temporal Bone Tumors; Imaging of Pediatric Hearing Loss; Common Otologic Surgical Procedures: Clinical Decision Making Pearls; Imaging of Temporal Bone Trauma: A Clinicoradiologic Perspective; and more!
This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.
This book examines non-invasive, electrical-based methods for disease diagnosis and assessment of heart function. In particular, a formalized signal model is proposed since this offers several advantages over methods that rely on measured data alone. By using a formalized representation, the parameters of the signal model can be easily manipulated and/or modified, thus providing mechanisms that allow researchers to reproduce and control such signals. In addition, having such a formalized signal model makes it possible to develop computer tools that can be used for manipulating and understanding how signal changes result from various heart conditions, as well as for generating input signals for experimenting with and evaluating the performance of e.g. signal extraction methods. The work focuses on bioelectrical information, particularly electrical bio-impedance (EBI). Once the EBI has been measured, the corresponding signals have to be modelled for analysis. This requires a structured approach in order to move from real measured data to the model of the corresponding signals. This book proposes a generic framework for this procedure. It can be used as a guide for modelling impedance cardiography (ICG) and impedance respirography (IRG) signals, as well as for developing the corresponding bio-impedance signal simulator (BISS).
A unique resource, this book is designed to determine not only your level of expertise and applicability of knowledge but also serve as an up-to-date clinical resource in the practice of cardiac sonography. This powerful, long-needed resource presents the essentials of clinical echocardiography in a precise Q&A format fashioned after Clinical Echocardiography Review A Self-Assessment Tool edited by Allan L. Klein and Craig R. Asher. Whether you are just beginning your training, are already preparing for your examination, or simply want to review and increase your knowledge depth, this easy-to-use resource will help you develop the knowledge and skills you need for success. Flexible: A wide range of multiple-choice questions identified as beginner, intermediate, or advanced make it easy for you to select the level of material you want to review. Quick-review format: Concise chapters by experts in the field follow an easy-to-follow, Q&A style to ensure content mastery. Concise Answer Outlines: Each question is supported by a detailed answer outline to enhance understanding and skill development. Visual: More than 400 online echo clip videos bring concepts and techniques to life and help you to internalize key essential elements of disease recognition. Clinically Oriented: More than 1,270 self-assessment questions (many with case-based images and easily accessible video files) place you in clinical scenarios. Practical: An extensive online question bank gives you unlimited opportunities for self-assessment and review. Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone Easily convert to audiobook, powering your content with natural language text-to-speech
This book highlights recent technological advances, reviews and applications in the field of cardiovascular engineering, including medical imaging, signal processing and informatics, biomechanics, as well as biomaterials. It discusses the use of biomaterials and 3D printing for tissue-engineered heart valves, and also presents a unique combination of engineering and clinical approaches to solve cardiovascular problems. This book is a valuable resource for students, lecturers and researchers in the field of biomedical engineering.
Female genital malformations represent miscellaneous deviations from normal anatomy. With a prevalence of approximately 6% in the general population, they might be associated with health problems, potentially dangerous complications or poor reproductive outcome depending on the type and the degree of the anatomical abnormality. During the last two decades the better understanding of their pathogenesis, the availability of new non-invasive techniques for their diagnosis and the increased experience from their treatment have radically changed their management. A new, clinically oriented classification system has now been developed facilitating their evidence-based appraisal. It is a reality that the management of female genital malformations has changed rapidly during the last few years from an experience based and mainly descriptive field to a scientific evidence-based one. This book presents all uterine, cervical and vaginal anomalies in a systematic way and the new ESHRE/ESGE classification system utilised for their categorization. In addition, their embryogenesis and etiology are summarized. The diagnostic work-up of women with female genital malformations is reviewed in an evidence-based fashion and taking into account the availability of new non-invasive diagnostic methods. The treatment strategy and the therapeutic alternatives to restore health and reproductive problems associated with their presence are critically reviewed.
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.
With collaboration of Dr. Alan Buchman, Consulting Editor, Dr. Perry J. Pickhardt has created a comprehensive issue of Gastroenterology Clinics that looks at imaging techniques for gastrointestinal diseases. Experts in their respective fields have contributed clinical reviews in the following areas: Evaluation of Dysphagia: The Role of Barium Fluoroscopy; CT and MR Small Bowel Enterography: Current Status and Future Trends; Radiologic Assessment of Gastrointestinal Bleeding; CT Colonography: Implementation for Screening; Rectal MR for Cancer Staging and Surveillance; Defecography (fluoro vs MR); Noninvasive Imaging Techniques for Staging Liver Fibrosis; HCC Screening: Comparison of US, CT, and MR Approaches; Pancreatic Cystic Lesions; Overview of biliary imaging; Splenomegaly: Clinico-Radiologic Approach to the Differential Diagnosis; MR for Non-Traumatic Acute Abdominal Pain: Comparison with CT and US; and PET/MR: Current Clinical Status and Future Prospects. Gastroenterologists will come away with the knowledge they need to understand the latest imaging modalities for diagnosis and assessment of gastrointestinal diseases and disorders.
In the medical field, there is a constant need to improve professionals' abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.
This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimer's disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identify the main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis.
This issue of Interventional Cardiology Clinics, edited by Jorge Gonzalez and Matthew Price, will span a number of essential topics surrounding Imaging in Intervention. Subjects discussed include: Multimodality Imaging for Transcatheter Mitral Valve Replacement; CT Assessment for Transcatheter Aortic Valve Replacement; Imaging Evaluation and Interpretation for Vascular Access for TAVR; Imaging Evaluation for the Detection of Leaflet Thrombosis after TAVR; CT Imaging Guidance for WATCHMAN LAA Closure; Myocardial viability testing to guide coronary revascularization; Intravascular Ultrasound For Guidance and Optimization of Percutaneous Coronary Intervention; CT-FFR to guide coronary angiography and intervention; Multimodality imaging of the tricuspid valve for assessment and guidance of transcatheter repair; and Three-dimensional printing for structural heart intervention planning, among others.
This book provides a comprehensive survey of the pharmacokinetic models used for the quantitative interpretation of contrast-enhanced imaging. It discusses all the available imaging technologies and the problems related to the calibration of the imaging system and accuracy of the estimated physiological parameters. Enhancing imaging modalities using contrast agents has opened up new opportunities for going beyond morphological information and enabling minimally invasive assessment of tissue and organ functionality down to the molecular level. In combination with mathematical modeling of the contrast agent kinetics, contrast- enhanced imaging has the potential to provide clinically valuable additional information by estimating quantitative physiological parameters. The book presents the broad spectrum of diagnostic possibilities provided by quantitative contrast-enhanced imaging, with a particular focus on cardiology and oncology, as well as novel developments in the area of quantitative molecular imaging along with their potential clinical applications. Given the variety of available techniques, the choice of the appropriate imaging modality and the most suitable pharmacokinetic model is often challenging. As such, the book provides a valuable technical guide for researchers, clinical scientists, and experts in the field who wish to better understand and properly apply tracer-kinetic modeling for quantitative contrast-enhanced imaging.
This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research from complementary fields such as ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction.
This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.
This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
This book constitutes the refereed proceedings of the 4th International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 15 full papers presented were carefully reviewed and selected from 17 submissions. The papers are organized in the following topical sections: Image Denoising Image Registration and Matching, Image Classification and Detection, Brain Image Analysis, and Retinal Image Analysis.
This book constitutes the refereed joint proceedings of the Second International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and the First International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 6 full papers presented at GRAIL 2018 and the 5 full papers presented at BeYond MIC 2018 were carefully reviewed and selected. The GRAIL papers cover a wide range of develop graph-based models for the analysis of biomedical images and encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts. The Beyond MIC papers cover topics of novel methods with significant imaging and non-imaging components, addressing practical applications and new datasets
This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications. |
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