This volume presents current advanced technologies and methods used in super-resolution microscopy. The chapters in this book cover a wide range of topics such as introducing super-resolution microscopy into a core facility; two-photon STED microscopy for nanoscale imaging of neural morphology in vivo; correlative SIM-STORM microscopy; two-color single-molecule tracking in live cells; and correlative single molecule localization microscopy and confocal microscopy. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Super-Resolution Microscopy: Methods and Protocols is a valuable resource for both established and novel researchers and users in this field.

This book chiefly addresses the analysis and design of geosynchronous synthetic aperture radar (GEO SAR) systems, focusing on the algorithms, analysis, methods used to compensate for ionospheric influences, and validation experiments for Global Navigation Satellite Systems (GNSS). Further, it investigates special problems in the GEO SAR context, such as curved trajectories, the Earth's rotation, the 'non-stop-and-go' model, high-order Doppler parameters, temporal-variant ionospheric errors etc. These studies can also be extended to SAR with very high resolution and long integration time. Given the breadth and depth of its coverage, scientists and engineers in SAR and advanced graduate students in related areas will greatly benefit from this book.

This book explores the non-interventional aspects of interventional pulmonology, focusing on diseases of the central airways. As the field of bronchology and interventional pulmonology expands, newer conditions involving the central airways are being recognized with increasing frequency. Current literature has mainly focused on technical aspects of the subspecialty, but this book illuminates what else interventional pulmonology has to offer the pulmonologist, including diagnosis and alternate therapeutic options. Diseases of the Central Airways: A Clinical Guide presents techniques for the diagnoses, management and treatment of patients with intriguing central airway conditions such as: black bronchoscopy, tracheobronchomalacia, endobronchial tuberculosis, and tracheobronchopathia osteochondroplastica. In-depth chapters are written by international experts and are up-to-date and comprehensive reviews. This important new book will contribute significantly to the welfare of patients with lung ailments of the central airways.

This volume presents readers with the latest techniques to study nanoimaging and nanoprobing in application to a broad range of biological systems. The chapters in this book are divided into five parts, and cover topics such as imaging and probing of biomacromolecules including high-speed imaging and probing with AFM; probing chromatin structure with magnetic tweezers; and fluorescence correlation spectroscopy on genomic DNA in living cells. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and through, Nanoscale Imaging: Methods and Protocols is a valuable resource for anyone interested in learning more about this developing and expanding field.

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging.

When a radiological image includes unfamiliar features, how do you decide whether it is normal variation or pathological abnormality? If you decide an abnormality is present, can you make a diagnosis from the image alone? Pearls and Pitfalls in Musculoskeletal Imaging differentiates less common findings or normal variant mimickers from the more common similar appearing diseases, helping you make a quick and accurate diagnosis. Musculoskeletal disorders of the shoulder, upper extremity, pelvis, and lower extremity are described in over 90 cases, highly illustrated with over 300 radiographic, CT, MRI and ultrasound images. Each case follows a standard format: imaging description, importance, typical clinical scenario, differential diagnosis and teaching point, enabling you to locate key information quickly. Pearls and Pitfalls in Musculoskeletal Imaging will help you spot artifacts, mimics and other unusual conditions, enabling you to avoid misdiagnosis and prevent mismanagement. An essential diagnostic tool for radiologists at every level.

Ultrasound imaging technology has experienced a dramatic change in the last 30 years. Because of its non-invasive nature and continuing improvements in image quality, ultrasound imaging is progressively achieving an important role in the assessment and characterization of cardiovascular imaging. Speckle is inherent in ultrasound imaging giving rise to a granular appearance instead of homogeneous, flat shades of gray, as is visible and as such, speckle can severely compromise interpretation of ultrasound images, particularly in discrimination of small structures. On the other hand, speckle can be used in the detection of time varying phenomena, or tracking tissue motion. The objective of this book is to provide a reference edited volume covering the whole spectrum of speckle phenomena, theoretical background and modelling, algorithms and selected applications in cardiovascular ultrasound imaging and video processing and analysis. The book is organized under the following four parts, Part I: Introduction to Speckle Noise; Part II: Speckle Filtering; Part III: Speckle Tracking; Part IV: Selected Applications in Cardiovascular Imaging.

This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017. The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.

This book constitutes the refereed proceedings of the Second International Workshop on Simulation and Synthesis in Medical Imaging, held in conjunction with MICCAI 2017, in Quebec City, Canada, in September 2017. The 11 revised full papers presented were carefully reviewed and selected from 14 submissions. The contributions span the following broad categories: cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis, simulation and synthesis from large-scale image databases, automated techniques for quality assessment images, and several applications of image synthesis and simulation in medical imaging such as image interpolation and segmentation, image reconstruction, cell imaging, and blood flow.

This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.

This book constitutes the refereed proceedings of the Third International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2017, which was held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 18 regular papers presented in this volume were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on multi-atlas segmentation; segmentation; Alzheimer's disease; reconstruction, denoising, super-resolution; tumor, lesion; and classification, retrival.

This book describes the molecular mechanisms of lung cancer development and progression that determine therapeutic interventions in the era of genomics, when the rapid evolution in lung cancer diagnosis and treatment necessitates critical review of new results to integrate advances into practice. The text opens with background and emerging information regarding the molecular biology of lung cancer pathogenesis. Updated results regarding lung cancer prevention and screening are discussed, followed by chapters on diagnostic techniques and pathological evaluation. This leads on to a detailed presentation of treatment modalities, from surgery and radiation therapy to standard chemotherapy and targeted agents. The coverage includes resistance to therapy and the emergence of immunotherapy for lung cancer; in addition, the current evidence in respect of small cell lung cancer is summarized. The book presents insights from experts across disciplines to emphasize the importance of collaborative care. Advances in our understanding of issues in geriatric oncology and palliative care complete the comprehensive discussion of lung cancer.

Maximize your interpretative skills in breast imaging with this clinically oriented resource . Ideal for residents in radiology , this image-rich text fosters the development of skills necessary to facilitate and maximize interpretive skills in all aspects of breast imaging from mammography ultrasound , and MRI to imaging-guided procedures . This title will also help readers learn how to incorporate clinical and imaging findings to pathology during diagnosis and patient management. With Clinical Breast Imaging readers will: Master key concepts required to care for patients presenting for breast imaging, with an emphasis on clinical relevance and imaging-pathology concordance-all enhanced by high quality images , chapter summaries and patient discussions. Prepare for board exams with comprehensive self-assessment questions in both the printed book and interactive eBook. Become well-versed in how to describe relevant findings, all while incorporating recommended terminology for mammography , breast ultrasound and breast magnetic resonance imaging. Now with the print edition, enjoy the bundled interactive eBook edition, offering tablet, smartphone, or online access to: Complete content with cross-linked pages for easier navigation Powerful search tool that pulls results from book content, user notes and the web Highlighting tool to emphasize and easily reference key content Share tool to collaborate with friends and colleagues during note-taking Tab tool to flag important content for future reference

The Atlas of Image-Guided Intervention in Regional Anesthesia and Pain Medicine is a practical guide for practitioners who perform interventional procedures with radiographic guidance to alleviate acute or chronic pain. The author provides an overview of each technique, with detailed full-color illustrations of the relevant anatomy, technical aspects of each treatment, and a description of potential complications. For this revised and expanded Second Edition, the author also discusses indications for each technique, as well as medical evidence on the technique's applicability. The new edition features original drawings by a noted medical artist and for the first time includes three-dimensional CT images that correlate with the radiographic images and illustrations for a fuller understanding of the relevant anatomy.

This book constitutes the refereed joint proceedings of the International Workshop on Fetal and Infant Image Analysis, FIFI 2017, and the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 8 full papers presented at FIFI 2017 and the 20 full papers presented at OMIA 2017 were carefully reviewed and selected. The FIFI papers feature research on advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period. The OMIA papers cover various topics in the field of ophthalmic image analysis.

This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.