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Series in Medical Physics and Biomedical Engineering

Gamma Cameras for Interventional and
Intraoperative Imaging

Gamma Cameras for Interventional and Intraoperative Imaging

Advances in Detector Design and Operation. Mobile Gamma Cameras. A Review of Hand Held SFOV Cameras. Review of Intraoperative Camera Systems. Freehand SPECT. Hybrid Imaging Systems. Testing and Quality Control of SFOV Systems. Radiopharmaceuticals for Intraoperative Imaging. Hybrid Tracers. Intraoperative Nuclear Imaging. Sentinel Node Detection in Breast Cancer. Sentinel Node Detection in Melanoma. Sentinel Node Detection in Head and Neck Cancer. Other Surgical Applications. Radiation Protection and Safety in the Operating Theatre.

An Introduction to Rehabilitation Engineering

Fully updated throughout, this second edition of Physiology, Biophysics and Biomedical Engineering provides a multidisciplinary understanding of biological phenomena and the instrumentation for monitoring these phenomena.

Human Biophysical Physiology

Physiology, Biophysics, and Biomedical Engineering, Volume I

Data Acquisition, Image Formation, Quality Assessment and Contrast Enhancement

Spectral Multi-Detector Computed Tomography (sMDCT)

Expanding on the highly successful previous two editions, this third edition of Proton Therapy Physics has been updated throughout and includes several new chapters on "Adaptive Proton Therapy", "Imaging for Planning", "Flash Proton Therapy", and "Outcome Modelling for Patient Selection".

Proton Therapy Physics

Essentials of Functional MRI is explained from the basic theory underlying magnetic resonance imaging. This includes how it can be used to detect dynamic variations in neural activity to become "functional" MRI, and how fMRI can be used for a variety of applications.

Basic Concepts to Advanced Applications

Essentials of Functional MRI

This book provides an introduction to methods of biomedical photonics. The chapters, written by world-leading experts, cover a wide range of issues, including the theoretical basis of different biophotonics methods and practical issues concerning the conduction of experimental studies to diagnose disorders associated with diabetes.

Biomedical Photonics for Diabetes Research

Focusing on applications in cancer treatment, this book covers basic principles, practical aspects, and clinical applications of focused ultrasound therapy.

Physics and Clinical Applications

Image-guided Focused Ultrasound Therapy

This book provides a clinical insight into image-guided radiation therapy (IGRT) for prostate cancer.

Prostate

Clinical Insights for Image-Guided Radiotherapy

This state-of-the-art handbook, the third and final in a series that provides medical physicists with a comprehensive overview into the field of nuclear medicine, focuses on highlighting the production and application of radiopharmaceuticals.

Radiopharmaceuticals and Clinical Applications, Volume III

Handbook of Nuclear Medicine and Molecular Imaging for Physicists

This state-of-the-art handbook, the first in a series that provides medical physicists with a comprehensive overview into the field of nuclear medicine, is dedicated to instrumentation and imaging procedures in nuclear medicine.

Instrumentation and Imaging Procedures, Volume I

This state-of-the-art handbook provides medical physicists with a comprehensive overview of the field of nuclear medicine.

Handbook of Nuclear Medicine and Molecular Imaging for Physicists - Three Volume Set

Calculating x-ray tube spectra provides a comprehensive review of the modelling of x-ray tube emissions, with a focus on medical imaging and radiotherapy applications.

Analytical and Monte Carlo Approaches

Calculating X-ray Tube Spectra

Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering

This book provides a comprehensive introduction to the current state-of-the-art in skin cancer, exploring the recent developments, appraising the current evidence and providing future directions with particular emphasis on interdisciplinary collaboration and need for clinical trials.

Essentials for Oncologists

Non-melanoma Skin Cancer

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book presents an in-depth overview of cutting-edge generative models such as GANs, VAEs, and diffusion models, examining how they enable groundbreaking applications in medical image synthesis, reconstruction, and enhancement. Covering diverse imaging modalities like MRI, CT, and ultrasound, it illustrates how these models facilitate improvements in image quality, support data augmentation for scarce datasets, and create new avenues for predictive diagnostics.Beyond technical details, the book addresses critical challenges in deploying generative models for healthcare, including ethical concerns, interpretability, and clinical validation. With a strong focus on real-world applications, it includes case studies and implementation guidelines, guiding readers in translating theory into practice. By addressing model robustness, reproducibility, and clinical utility, this book is an essential resource for researchers, clinicians, and data scientists seeking to leverage generative models to enhance biomedical imaging and deliver impactful healthcare solutions. Combining technical rigor with practical insights, it offers a roadmap for integrating advanced generative approaches in the field of medical image computing.

Generative Machine Learning Models in Medical Image Computing

This is a concise, yet comprehensive book that teaches all essential aspects of the practice of Endobronchial Ultrasound (EBUS) bronchoscopy.

Made Easy

Endobronchial Ultrasound

Reinforce your understanding of Radiography Essentials for Limited Scope, Seventh Edition! With chapters corresponding to the chapters in the textbook, this practical workbook helps you review and apply the concepts and procedures required for limited radiography practice. Exercises include multiple-choice, fill-in-the-blank, and matching questions, as well as labeling exercises for anatomy diagrams and radiographic images. Mock exams help you practice for state licensure examinations. Written by the textbook's authors, this study tool prepares you for coursework and ARRT exams, and for practice as a Limited X-Ray Machine Operator. This is the only workbook of its kind on the market!NEW! Updated content in the workbook reflects current practice and corresponds to material in the textbookNEW! Expanded exercises in all chapters reinforce your understanding of the content, and include additional podiatry, chiropractic, and bone densitometry exercisesWide variety of exercises includes fill-in-the-blank, multiple choice, and matching questions, reinforcing your understanding of important topics including x-ray science and techniques, radiation safety, radiographic anatomy, pathology, patient care, ancillary clinical skills, and positioning of the upper and lower extremities, spine, chest, and headAnatomy and positioning labeling along with terminology exercises provide a thorough review of standard and accepted radiographic terminologyMore than 100 labeling exercises for anatomy diagrams and radiographic images help you learn anatomy and gain familiarity with how the body appears on radiographic imagesSection One offers learning activities and practice for all limited radiography topics and conceptsSection Two provides a preparation guide for the Limited Scope of Practice in Radiography Examination, along with expanded mock examsSection Three provides a preparation guide for the ARRT Bone Densitometry Equipment Operators Exam and includes study guidelines, ARRT content specifications, and a fully revised mock exam

Workbook and Licensure Exam Prep for Radiography Essentials for Limited Scope

Lecture Notes in Computer Science

This Open Access book constitutes the refereed proceedings of the First MICCAI Challenge, HNTSMRG 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 17, 2024.


The 20 full papers and 1 overview paper included in this volume were carefully reviewed and selected from a total of 21 submissions.


The HNTS-MRG 2024 Challenge focuses on advancing clinical workflows by leveraging artificial intelligence (AI) for automated segmentation of tumor regions in multi-timepoint MRI scans.

First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings

Head and Neck Tumor Segmentation for MR-Guided Applications

This textbook is a concise introduction to medical imaging aimed at physical scientists and engineers, including budding biomedical engineers and biophysicists. The book introduces fundamental concepts related to how we "see" inside the body using medical imaging technology and what is needed to obtain useful images.&nbsp;The text first considers the underlying physical principles by which information about tissues within the body can be extracted in the form of signals, examining the major principles used: transmission, reflection, emission, and resonance. It then explains how these signals can be converted into images, i.e., full 3D volumes, demonstrating how common methods of "reconstruction" are shared by some imaging techniques, despite relying on different physics to generate the "signals." Finally, it explores how medical imaging can be used to generate more than just pictures, but genuine quantitative measurements, and increasingly, measurements of physiological processes at every point within the 3D volume using methods such as tracers and advanced dynamic acquisitions.&nbsp;Now in its second, fully updated and expanded edition, the textbook contains new sections on image analysis concepts, covers a wide range of techniques used to enhance and interpret medical imaging, and includes concise introductions to optimization and machine learning in their application to medical imaging . The second edition also includes expanded discussions on quantitative, functional, physiological, and metabolic imaging.&nbsp;'Principles of Medical Imaging for Engineers’ second edition will be invaluable to students and graduate students in engineering and physical sciences with an interest in biomedical engineering, as well as to their professors.

From Signals to Images

Principles of Medical Imaging for Engineers

Covering the entire spectrum of this fast-changing field, Diagnostic Imaging: Nuclear Medicine, Fourth Edition, is an invaluable, everyday resource for nuclear medicine physicians, general radiologists, and trainees-anyone who requires an easily accessible, highly visual reference on today’s rapidly changing nuclear medicine therapies. Drs. Jennifer Schroeder, Joanna R. Fair, and a new team of highly specialized authors provide up-to-date information in concise yet detailed chapters to help you make informed decisions at the point of care. They address the most appropriate nuclear medicine options available to answer specific clinical questions within the framework of all imaging modalities, making this edition a useful learning tool as well as a handy reference for daily practice.<ul><li>Reflects recent advances in the field with information on new FDA-approved imaging agents, new therapeutic agents, updates to available therapies and procedures with new interval data and guidelines, new imaging protocols, including perfusion-only examinations for evaluation of pulmonary embolisms, and more</li><li>Features new and expanded information throughout, including treatment of progressive metastatic castrate-resistant prostate cancer, benign and malignant thyroid disease, sentinel node mapping, lymphedema, and pediatric nuclear imaging</li><li>Contains 20+ new chapters on pheochromocytoma, paraganglioma, thyroid incidentaloma, adult fever of unknown origin, malignant peripheral nerve health tumor, paraneoplastic syndrome, and many more</li><li>Features 2,000 high-quality print images (with an additional 500 images in the included eBook), many of which are new or updated, including pediatric imaging, oncologic imaging, radiologic images, full-color medical illustrations, and 3D renderings</li><li>Covers the physics behind nuclear medicine with safety considerations for both patients and radiologists with new material on radiopharmaceutical IV infiltration</li><li>Uses bulleted, succinct text and highly templated chapters to help you make informed decisions at the point of care</li><li>Includes an eBook that allows you access to everything in the print version as well as additional images, text, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud; additional digital ancillary content may publish up to 6 weeks following the publication date</li></ul>

Diagnostic Imaging: Nuclear Medicine

This book covers understanding of the data, while telling a story with visualization including basic concepts about the data, the relationship, and the visualizations through Tableau. All the technical details that include installation and building the different visualizations are explained in clear and systematic way.

A Hands-on Approach

Data Storytelling and Visualization with Tableau

Covering the entire spectrum of this fast-changing field, Diagnostic Imaging: Spine, fifth edition, is an invaluable resource for general radiologists, neuroradiologists, and trainees-anyone who requires an easily accessible, highly visual reference on today’s spinal imaging. Drs. Jeffrey Ross, Kevin Moore, and their team of highly regarded experts provide updated information on disease identification and imaging techniques to help you make informed decisions at the point of care. The text is image-rich, with succinct bullets that quickly convey details, and includes the latest literature references, making it a useful learning tool as well as a handy reference for daily practice.<ul><li>Serves as a one-stop resource for key concepts and information on radiologic imaging and interpretation of the spine, neck, and central nervous system</li><li>Contains six robust sections, each beginning with normal imaging anatomy and covering all aspects of this challenging field: Congenital and Genetic Disorders, Trauma, Degenerative Diseases and Arthritides, Infection and Inflammatory Disorders, Peripheral Nerve and Plexus, and Spine Postprocedural/Posttreatment Imaging</li><li>Features 3,200+ high-quality print images (with an additional 2,100+ images in the complimentary eBook), including radiologic images, full-color medical illustrations, clinical photographs, histologic images, and gross pathologic photographs</li><li>Provides new and expanded content on CSF leak disorder and root sleeve leak; CSF-venous fistulas; demyelinating disease based upon better knowledge of MS; neuromyelitis optica spectrum disorder; anti-MOG disorders; malignant nerve sheath tumor and paragangliomas; and spinal ependymomas, including myxopapillary and classical cellular spinal ependymoma</li><li>Contains new chapters on both imaging technique and diseases/disorders, and existing chapters have been rearranged to better represent current information on inflammatory and autoimmune disorders and systemic manifestations of diseases</li><li>Provides updates from cover to cover, including overviews and new recommendations for evaluation of transitional spinal anatomy (spine enumeration), which have important and practical applications in routine imaging with downstream effects on spine intervention</li><li>Uses bulleted, succinct text and highly templated chapters for quick comprehension of essential information at the point of care</li><li>Includes an eBook that allows you access to everything in the print version as well as additional images, text, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud; additional digital ancillary content may publish up to 6 weeks following the publication date</li></ul>

Diagnostic Imaging: Spine

The MICCAI Society book Series

Less-Supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main approaches and state-of-the-art models and includes a broad array of applications in medical image segmentation, including healthcare, oncology, cardiology and neuroimaging. A key objective is to make this mathematical subject accessible to a broad engineering and computing audience by using a large number of intuitive graphical illustrations. The emphasis is on giving conceptual understanding of the methods to foster easier learning. This book is highly suitable for researchers and graduate students in computer vision, machine learning and medical imaging.

Scenarios, Models and Optimization

Less-supervised Segmentation with CNNs

Gamma Cameras for Interventional and Intraoperative Imaging

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