Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis - Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I - Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II - Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III - Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data

Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifying malignant melanoma. Dermoscopy Image Analysis summarizes the state of the art of the computerized analysis of dermoscopy images. The book begins by discussing the influence of color normalization on classification accuracy and then: Investigates gray-world, max-RGB, and shades-of-gray color constancy algorithms, showing significant gains in sensitivity and specificity on a heterogeneous set of images Proposes a new color space that highlights the distribution of underlying melanin and hemoglobin color pigments, leading to more accurate classification and border detection results Determines that the latest border detection algorithms can achieve a level of agreement that is only slightly lower than the level of agreement among experienced dermatologists Provides a comprehensive review of various methods for border detection, pigment network extraction, global pattern extraction, streak detection, and perceptually significant color detection Details a computer-aided diagnosis (CAD) system for melanomas that features an inexpensive acquisition tool, clinically meaningful features, and interpretable classification feedback Presents a highly scalable CAD system implemented in the MapReduce framework, a novel CAD system for melanomas, and an overview of dermatological image databases Describes projects that made use of a publicly available database of dermoscopy images, which contains 200 high-quality images along with their medical annotations Dermoscopy Image Analysis not only showcases recent advances but also explores future directions for this exciting subfield of medical image analysis, covering dermoscopy image analysis from preprocessing to classification.

Gastric adenocarcinoma is the second most common cancer worldwide. It is usually diagnosed at a late stage and prognosis is poor; even with modern diagnostic and treatment methods the 5-year survival is only 10%. Improvements in overall patient survival can only be achieved by earlier diagnosis and by tailored therapeutic strategies based on tumor type, location and stage at presentation. This volume provides a state-of-the-art, integrated diagnostic and therapeutic approach to patient management. The role of the upper GI series, endoscopy, endoscopic ultrasound, MDCT, MRI, and PET/CT in the diagnosis, staging and follow-up of patients with gastric cancer is emphasized. The relative strengths and limitations of these diagnostic examinations will be presented in context with the most recent epidemiologic, pathologic, and therapeutic concepts regarding this tumor. With expert contributions from members of an international multidisciplinary team, this is an invaluable guide to the diagnosis and management of gastric malignancies.

Infertility and Assisted Reproduction presents, in detail, the techniques and philosophies behind medical procedures of infertility and assisted reproduction. World-class experts in their field, representing research from 18 different countries, have contributed to this groundbreaking textbook covering one of the most rapidly changing and hotly debated fields in medicine. Different countries have different restrictions on the research techniques that can be applied to this field, and, therefore, experts from around the world bring varied and unique authorities to different subjects in reproductive technology.
This comprehensive textbook encompasses the latest research into the physiology of reproduction, infertility evaluation and treatment, and assisted reproduction and concludes with perspectives on the ethical dilemmas faced by clinicians and professionals. This book is designed to be a definitive resource for those working in the areas of reproductive medicine the world over.

This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians' ability to take well-informed decisions and convey their reasoning to colleagues and patients. This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

Covering the entire spectrum of this fast-changing field, Diagnostic Imaging: Chest, third edition, is an invaluable resource for general radiologists, thoracic radiologists, and trainees-anyone who requires an easily accessible, highly visual reference on today's thoracic imaging. Drs. Melissa L. Rosado-de-Christenson, Santiago Martinez-Jimenez, and their team of highly regarded experts provide up-to-date information on recent advances in technology and the understanding of chest diseases to help you make informed decisions at the point of care. The text is lavishly illustrated, delineated, and referenced, making it a useful learning tool as well as a handy reference for daily practice. Serves as a one-stop resource for key concepts and information on chest imaging, including a wealth of new material and content updates throughout Features more than 2,800 illustrations (full-color drawings, clinical and histologic photographs, and gross pathology images) as well as video clips demonstrating the diaphragmatic paralysis positive sniff test, virtual bronchoscopy fly-through, and more Features updates from cover to cover including new information on pulmonary manifestations of coronavirus infection/COVID-19 and numerous new chapters throughout Reflects updates in terminology and imaging findings of common neoplastic disorders (including primary lung cancer and lymphoma), and novel imaging findings of inhalational lung diseases, including those related to vaping Covers common thoracic malignancies and chest diseases with details on the latest knowledge in the field, including lung screening with low-dose chest CT, approach to the patient with incidentally discovered lung nodules, and updates on the imaging manifestations and management recommendations for common pulmonary infections Uses bulleted, succinct text and highly templated chapters for quick comprehension of essential information at the point of care Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices

Ophthalmic Imaging serves as a reference for the practicing ophthalmic imager. Ophthalmic imaging combines photography and diagnostic imaging to provide insight into not only the health of the eye, but also the health of the human body as a whole. Ophthalmic photographers are specialists in imaging through and in the human eye, one of the only parts of the body where the circulation and nervous system is visible non-invasively. With technical perspective as context, this book will provide instructional techniques as well as the background needed for problem solving in this exciting field. The book covers all aspects of contemporary ophthalmic imaging and provides image support to ophthalmologists and sub-specialties including retinal specialists, corneal specialists, neuro-ophthalmologists, and ocular oncologists. This text serves as a reference for the practicing ophthalmic imager, or to imagers just getting started in the field.

Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area. It reviews clinical research, presents an overview of the clinical field, and the importance of heart rate variability in diagnosis. The book then discusses the use of particular ECG and HRV algorithms in the context of clinical applications.

Recent studies demonstrated the utility of advanced imaging techniques including 3D CT collision modelling, MRI 3D reconstruction and 3D fluoroscopy in hip surgery. Collision modelling including software based on a CT scan and 3D fluoroscopy are able to predict the specific zone of femoral-acetabular impingement and are useful tools to plan the bone resection in preserving hip surgery. Furthermore, they may be helpful for the evaluation of acetabular coverage in hip dysplasia and may predict the amount of correction needed during a periacetabular reorientation osteotomy. On the other hand, CT based prototyping and the custom 3D-printed implants have emerged as new options to address severe bone loss or compromised anatomy. Although, there is little published literature so far, the interest for this technology in hip arthroplasty is growing. Patient and defect-specific implants are designed from CT images and then may be printed via a 3D model or may generate into a one-piece product. Those solutions may be helpful in primary arthroplasty: first, they may be used in a complex case where a standard implant may not be easy to be performed because of the alteration of the bone structure; eventually, they may be used in oncologic cases where a great amount of bone should be resected. Custom implants find indications also in revision arthroplasty, where the bone loss is important. In fact, the resulting precision-fit of the implant to the remaining patients bonestock minimizes the need for more bone resection to fit an off-the-shelf product. Locking screw configurations may be planned preoperatively to obtain the most efficient purchase in the existing bone. Furthermore, by combining angiography from the planning CT, locking screw trajectory can be planned so as to maximize a fixation whilst minimizing vascular risk.

PET and SPECT imaging has improved to such a level that they are opening up exciting new horizons in medical diagnosis and treatment. This book provides a complete introduction to fundamentals and the latest progress in the field, including an overview of new scintillator materials and innovations in photodetector development, as well as the latest system designs and image reconstruction algorithms. It begins with basics of PET and SPECT physics, followed by technology advances and computing methods, quantitative techniques, multimodality imaging, instrumentation, pre-clinical and clinical imaging applications.

This book covers state-of-the-art medical image analysis approaches currently pursued in autism research. Chapters cover recent advances in diagnosis using structural neuroimaging. All aspects of imaging are included, such as electrophysiology (EEG, ERP, QEEG, and MEG), postmortem techniques, and advantages and difficulties of depositing/acquiring images in larger databases. The book incorporates 2D, 3D, and 4D imaging and advances scientific research within the broad field of autism imaging.

Gamma cameras are traditionally large devices that are situated in nuclear medicine departments, but recent advances in detector design have enabled the production of compact gamma cameras that allow nuclear imaging at the patient bedside and in the operating theatre. Gamma Cameras for Interventional and Intraoperative Imaging is the first book to cover this new area of imaging, and provides a unique insight into the experimental and clinical use of small field of view gamma cameras in hospitals. This book explores advances in the design and operation of compact gamma cameras and conducts a thorough review of current SFOV systems, before exploring the clinical applications of the technology. It is an essential reference for surgeons, operating theatre staff, clinical scientists (medical physicists), technologists, nuclear physicians and radiologists whose patients could benefit from this technology.

In the last decade, bioimaging and therapy based on near-infrared (NIR) nanomaterials have played an important role in biotechnology due to their intrinsic advantages when compared with the traditional imaging probe and medicine. NIR nanomaterials allow deeper penetration depth, low detection threshold concentration and better targeted performance. This book systematically summarises the recent progress in the fabrication and application of NIR nanomaterials for biomedical imaging and therapy, and discusses the advantages, challenges and opportunities available. Near-infrared Nanomaterials contains achapter highlighting the outlook of these materials, detailing novel ideas for the further application of NIR nanomaterials in bioimaging and medicine. Written by leading experts working in the field, this title will have broad appeal to those working in chemistry, materials science, nanotechnology, biology, bioengineering, biomedical science and biophysics.

Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements. Basic statistical concepts, elements of decision theory, and counting statistics, including models of photon-limited data and Poisson approximations, are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT. The final chapter includes illustrative examples of statistical computing, based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks as well as Bayesian decision making and hypothesis testing. Appendices cover probability distributions, elements of set theory, multinomial distribution of single-voxel imaging, and derivations of sampling distribution ratios. C++ code used in the final chapter is also provided. The text can be used as a textbook that provides an introduction to Bayesian statistics and advanced computing in medical imaging for physicists, mathematicians, engineers, and computer scientists. It is also a valuable resource for a wide spectrum of practitioners of nuclear imaging data analysis, including seasoned scientists and researchers who have not been exposed to Bayesian paradigms.

Computational Optical Biomedical Spectroscopy and Imaging covers recent discoveries and research in the field by some of the best inventors and researchers in the world. It also presents useful computational methods and applications used in optical biomedical spectroscopy and imaging. Topics covered include: New trends in immunohistochemical, genome, and metabolomics imaging Computer-aided diagnosis of interstitial lung diseases based on CT image analysis Functional near-infrared spectroscopy and its applications in neurosciences Applications of vibrational spectroscopic imaging in personal care studies Induced optical natural fluorescence spectroscopy for Giardia lamblia cysts Nanoimaging and polarimetric exploratory data analysis Fluorescence bioimaging with applications to chemistry Medical imaging instrumentation and techniques The book also discusses future applications, directions, opportunities, and challenges of optical biomedical spectroscopy and imaging in technical industry, academia, and government. This valuable resource introduces key concepts of computational methods used in optical biomedical spectroscopy and imaging in a manner that is easily understandable to beginners and experts alike.

During the past two decades, there has been an increasing appreciation of the significant value that lifetime-based techniques can add to biomedical studies and applications of fluorescence. Bringing together perspectives of different research communities, Fluorescence Lifetime Spectroscopy and Imaging: Principles and Applications in Biomedical Diagnostics explores the remarkable advances in time-resolved fluorescence techniques and their role in a wide range of biological and clinical applications. Broadly accessible, the book captures the state-of-the-art of fluorescence lifetime metrology and imaging and provides current perspectives on their applications to biomedical studies of intact tissues and medical diagnosis. The text introduces these techniques within the wider context of fluorescence spectroscopy and describes basic principles underlying current instrumentation for fluorescence lifetime imaging and metrology (FLIM). It also covers the wide range of methods, including single channel (point) spectroscopy, fluorescence lifetime imaging microscopy, and single- and multi-photon excitation. Edited by pioneers in this field, with contributions from leading experts, the book includes an overview of complementary techniques that help researchers beginning FLIM research. It offers a comprehensive treatment of fundamental principles, instrumentation, analytical methods, and applications. It also provides an overview of the label-free contrast available from lifetime measurements of tissue autofluorescence and the prospects for exploiting this for clinical applications and biomedical research including drug discovery.

The Cardiac Catheter Book: Diagnostic and Interventional Techniques Loaded with tips, tricks, and expert solutions to everyday clinical problems, this book is a must for all specialists and trainees performing cardiac catheterizations. It covers basic principles, diagnostic strategies for specific diseases, and the newest interventional techniques, giving readers the tools to successfully manage all types of valvular and structural heart disease. Special Features: Concisely reviews the basics of cardiac catheterization, with sections on indications, risks and complications, patient preparation, equipment and laboratory setup, contrast media, and interpretation of findings Covers the full range of interventional catheter techniques, including percutaneous coronary intervention (PCI), coronary stent implantation, rotational athetectomy, cutting balloon angioplasty, shunt closure, and much more Examines current, evidence-based diagnostic approaches to such commonly seen conditions as valvular disease, cardiomyopathies, coronary artery disease, congenital heart disorders, pericardial disease, aortic dissection, and more Describes key new interventions for structural heart disease, including transcatheter aortic valve implantation (TAVI), interventions for mitral regurgitation (Mitraclip), occlusion of the left atrial appendage (LAA-Occlusion), and renal nerve ablation for resistant arterial hypertension Provides hundreds of illustrations, coronary angiograms, and radiographic images that clarify every concept Demonstrates step-by-step approaches, case studies, and detailed angiographic sequences in nearly 400 helpful videos From the fundamentals to the newest therapeutic advances, this book provides the core information needed by every practice performing diagnostic and interventional cardiac catheterizations. It is essential for interventional cardiologists, cardiology fellows, and interventional radiologists who want to quickly increase their knowledge and skills and offer optimal care to their patients.

Edited by and featuring contributions from world-class researchers, Ophthalmological Imaging and Applications offers a unified work of the latest human eye imaging and modeling techniques that have been proposed and applied to the diagnosis of ophthalmologic problems, including inflammation, cataracts, diabetic retinopathy, and glaucoma. With a focus on theory, basic principles, and results derived from research, the book: Explores various morphological, textural, higher-order spectral, and wavelet transformation techniques used to extract salient features from images of the human eye Examines 2D and 3D finite element and boundary element models of the human eye developed to simulate thermal steady-state conditions Addresses the difficult task of benchmarking the validity of human eye imaging techniques and computer-simulated results with experimental measurements Intended to be a companion to Image Analysis and Modeling in Ophthalmology, this volume covers several aspects of multimodal ophthalmological imaging and applications, presenting information in an accessible manner to appeal to a wide audience of students, researchers, and practitioners. Ophthalmological Imaging and Applications considers promising simulations that pave the way for new possibilities in computational methods for eye health care.

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III contains all contributions presented at the International Symposium CompIMAGE 2012 - Computational Modelling of Object Presented in Images: Fundamentals, Methods and Applications (Rome, Italy, 5-7 September 2012). The contributions cover the state-of-art and new trends in the fields of: - 3D Vision; - Biometric Recognition; - Computational Bioimaging and Visualization; - Computer Vision in Robotics and Automation; - Data Acquisition, Interpolation, Registration and Compression; - Image Enhancement and Restoring; - Image Processing and Analysis; - Image Segmentation; - Medical Imaging; - Modeling and Simulation; - Motion and Deformation Analysis; - Remote Sensing; - Scientific Visualization Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III addresses different techniques, such as optimization methods, geometry, finite element method, principal component analysis, stochastic methods, neural networks and fuzzy logic. The book is useful to researchers and students with multidisciplinary interests related to Computational Vision, Computational Mechanics, Medicine, Engineering and Architecture.

This book contains invited lecturers and full papers presented at VIPIMAGE 2011 - III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Olhao, Algarve, Portugal, 12-14 October 2011). International contributions from 16 countries provide a comprehensive coverage of the current state-of-the-art in: Image Processing and Analysis; Tracking and Analyze Objects in Images; Segmentation of Objects in Images; 3D Vision; Signal Processing; Data Interpolation, Registration, Acquisition and Compression; Objects Simulation; Medical Imaging; Virtual Reality; Software Development for Image Processing and Analysis; Computer Aided Diagnosis, Surgery, Therapy and Treatment; Computational Bioimaging and Visualization; Telemedicine Systems and their Applications. Related techniques also covered in this book include the level set method, finite element method, modal analyses, stochastic methods, principal and independent components analyses and distribution models. Computational Vision and Medical Image Processing - VIPIMAGE 2011 will be useful to academics, researchers and professionals in Computational Vision (Image Processing and Analysis), Computer Sciences, Computational Mechanics and Medicine.

Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient's chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology-namely, needle biopsy and bronchoscopy-fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules. Dealing with all aspects of image analysis of the data, this book examines: Lung segmentation Nodule segmentation Vessels segmentation Airways segmentation Lung registration Detection of lung nodules Diagnosis of detected lung nodules Shape and appearance analysis of lung nodules Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.

The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter.

A new chapter on Optical Imaging Modalities elaborating microscopy, confocal microscopy, endoscopy, optical coherent tomography, fluorescence and molecular imaging will be added. Another new chapter on Simultaneous Multi-Modality Medical Imaging including CT-SPECT and CT-PET will also be added. In the image analysis part, chapters on image reconstructions and visualizations will be significantly enhanced to include, respectively, 3-D fast statistical estimation based reconstruction methods, and 3-D image fusion and visualization overlaying multi-modality imaging and information. A new chapter on Computer-Aided Diagnosis and image guided surgery, and surgical and therapeutic intervention will also be added.

A companion site containing power point slides, author biography, corrections to the first edition and images from the text can be found here: ftp: //ftp.wiley.com/public/sci_tech_med/medical_image/

Send an email to: [email protected] to obtain a solutions manual. Please include your affiliation in your email.

A must-have multimedia reference on the latest laryngeal examination and imaging techniques This comprehensive, full-color reference provides a thorough overview of the most recent advances in laryngeal imaging technology combined with all of the information readers need to interpret findings and successfully manage patients with voice disorders. After a solid introduction to laryngeal anatomy and physiology, separate sections cover the entire spectrum of laryngeal imaging systems. The authors place special emphasis on the interpretation of abnormal vibratory characteristics through practical discussion of the differential diagnosis of specific abnormalities and the impact of various types of laryngeal pathology on the vocal cords. The accompanying DVD features high-quality video clips of vocal fold vibration that clearly demonstrate every pathology and evaluation technique cited in the text. Each clip is cross-referenced to a specific location in the book for maximum accessibility. Features: In-depth coverage of the indications and limitations of flexible laryngoscopy, videostroboscopy, and high-speed imaging 66 video clips of actual examinations - plus an appendix that contains a complete description and interpretation of each clip 284 full color images, including endoscopic views of the larynx and photographs that demonstrate how to perform examinations Multiple perspectives from renowned speech language pathologists and otolaryngologists on how to interpret findings and determine treatment options Written by a multidisciplinary team of experts, this book will help speech-language pathologists, otolaryngologists, and trainees in those specialties acquire the necessary skills to enable them to expand their practices to incorporate laryngeal imaging procedures in the clinical setting.

A step-by-step guide to performing image-guided breast interventions Written by a team of experts, this practical how-to guide provides a systematic overview of the most current image-guided interventional techniques used to diagnose breast abnormalities. In the first part of the book, the authors discuss how to acquire tissue samples using minimally invasive procedures such as ultrasound-, x-ray-, and MRI-based interventions, and present information on pretherapeutic localization and classification of lesions. The second part of the book covers the essentials of fine-needle aspiration and cytologic assessment, followed by a chapter on histologic evaluation and up-to-date pathology reporting categories for core and vacuum biopsy specimens. Features: 1,295 high-quality clinical images from the authors? daily practice illustrate radiographic findings and examination approaches More than 50 cases studies for self-assessment Separate chapters on patient preparation, instrumentation, galactography and ductoscopy, and sentinel node biopsy Color-coded text boxes highlight tips, tricks, pitfalls, checklists, and guidelines for rapid review of essential concepts Consistent chapter structure for maximum accessibility Interventional Breast Imaging is a must-have resource for all radiologists and gynecologists. It will improve the accuracy and confidence of any clinician involved in image-guided breast interventions.