- Table View
- List View
Image Analysis for Ophthalmological Diagnosis
by Robert KoprowskiThis monograph focuses on the use of analysis and processing methods for images from the Corvis® ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff. All the described algorithms were practically implemented in MATLAB®. The monograph also describes and provides the full source code designed to perform the discussed calculations. As a result, this monograph is intended for scientists, graduate students and students of computer science and bioengineering as well as doctors wishing to expand their knowledge of modern diagnostic methods assisted by various image analysis and processing methods.
Image Analysis in Stroke Diagnosis and Interventions: 4th International Workshop, SWITCH 2024, and 6th International Challenge, ISLES 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings (Lecture Notes in Computer Science #15408)
by Theo van Walsum Roland Wiest Markus D. Schirmer Ruisheng Su Ezequiel de la Rosa Leonhard Rist Ewout Heylen Frank Te Nijenhuis Danny Ruijters Richard McKinley Susanne WegenerThis book constitutes the refereed proceedings of the 4th International MICCAI Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2024, as well as the Ischemic Stroke Lesion Segmentation Challenge, ISLES 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 10, 2024. The 12 revised full papers presented in this volume were selected form 16 submissions. The papers describe research advancements in image analysis for the diagnosis and intervention of ischemic and haemorrhagic stroke and present the latest developments in segmentation, disease prognosis, stroke diagnosis and treatment, and other clinically relevant applications.
Image Analysis: Methods and Applications, Second Edition
by Donat-P. HaderAutomatic image analysis has become an important tool in many fields of biology, medicine, and other sciences. Since the first edition of Image Analysis: Methods and Applications, the development of both software and hardware technology has undergone quantum leaps. For example, specific mathematical filters have been developed for quality enhanceme
Image Based Computing for Food and Health Analytics: IBCFHA
by Rajeev Tiwari Deepika Koundal Shuchi UpadhyayIncrease in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term. Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms. Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usage of 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems.
Image Fusion in Preclinical Applications
by Claudia Kuntner-Hannes York HaemischThis book provides an accessible and comprehensive overview of the state of the art in multimodal, multiparametric preclinical imaging, covering all the modalities used in preclinical research. The role of different combinations of PET, CT, MR, optical, and optoacoustic imaging methods is examined and explained for a range of applications, from research in oncology, neurology, and cardiology to drug development. Examples of animal studies are highlighted in which multimodal imaging has been pivotal in delivering otherwise unobtainable information. Hardware and software image registration methods and animal-specific factors are also discussed. The readily understandable text is enhanced by numerous informative illustrations that help the reader to appreciate the similarities to, but also the differences from, clinical applications. Image Fusion in Preclinical Applications will be of interest to all who wish to learn more about the use of multimodal/multiparametric imaging as a tool for in vivo investigations in preclinical medical and pharmaceutical research.
Image Guided Dermatologic Treatments
by Robert L. BardThis book showcases the latest digital skin imaging, optical/laser systems and advanced immunologic therapies including topics ranging from the basic dermatologic sciences to advanced microscopic and laser optics. The addition of radiologic breakthroughs serves as comprehensive source for the dermatologic community, helping them access sonographic, CT, MRI and nuclear medicine procedures refined for dermatologic and subcutaneous pathologies. In addition, it assists radiologists determine the appropriate imaging technologies for specific clinical dermal disorders. A detailed and up-to-date overview of image-guided treatments is provided. The initial chapters on benign and inflammatory diseases are precursors to advanced chapters on hidradenitis suppurativa and pigmented lesion analysis. A dedicated chapter on melanoma skin cancer and malignant melanoma is followed by updated concepts of melanoma treatment, including genetic markers and PET/CT to monitor therapeutic success. Further chapters address such topics as dermal trauma from foreign bodies and burns, scar imaging, fillers complications and podiatric imaging. Chapters on optical coherence tomography and reflectance confocal microscopy complete the coverage. All chapters were written by dermatologists trained in ultrasound diagnosis, interventional radiologists, dermatopathologists and specialists in advanced optical and microscopic dermatologic analysis, providing a reference guide to noninvasive diagnosis techniques and image guided minimally invasive treatment options. As such, Image Guided Dermatologic Treatments will be an invaluable asset for clinicians in medical and allied fields where dermatologic diagnosis using the least invasive option is required.
Image Guided Interventions of the Spine: Principles and Clinical Applications
by Scott H. Faro Majid Khan Sergiy V. KushchayevThis book is a comprehensive review of image guided interventions of the spine. Beginning with a chapter dedicated to the history of image guided spinal interventions, authors set the stage for the role these procedures have and will play in the field. Chapters cover the key procedures, techniques, and considerations to maximize effectiveness and patient care. Some major topics covered include: imaging osseo-ligamentous spine anatomy, percutaneous vertebroplasty, image guided tumor ablation, and vascular spine intervention. Additional features include high-quality illustrations with concise descriptions and clinical cases discussions. This is an ideal guide for interventional neuroradiologists, radiologists, pain management physicians, neurosurgeons, orthopedic spine surgeons, and related residents, fellows, and students wanting in depth information on image guided interventions of the spine.
Image Guided Prostate Cancer Treatments
by Dan Sperling Jurgen J. Fütterer Robert L. BardImage-Guided Prostate Cancer Treatments is a comprehensive reference and practical guide on the technology and application of ultrasound and MRI in the male pelvis, with special attention to the prostate. The book is organized into three main sections, the first of which is devoted to general aspects of imaging and image-guided treatments. The second section provides a systematic overview of the application of ultrasound and MRI to the diagnosis and treatment of diseases of the lower urinary tract. Performance of the ultrasound and MRI studies is explained, and the normal and abnormal pathological anatomy is reviewed. Correlation with the ultrasound in the same plane is provided to assist in understanding the MRI sequences. Biopsy and interventional procedures, ultrasound-MRI fusion techniques, and image-guided therapies, including focused ultrasound, photodynamic therapy, microwave and laser ablation, are all fully covered. The third section focuses on securing treatment effectiveness and the use of follow-up imaging to ensure therapeutic success and detect tumor recurrence at an early stage, which is vital given that prompt focal treatment of recurrence is very successful. Here, particular attention is paid to the role of Doppler ultrasound and DCE-MRI technologies. This book, containing a wealth of high-quality illustrations based on high-end equipment, will acquaint beginners with the basics of prostate ultrasound and MRI, while more advanced practitioners will learn new skills, means of avoiding pitfalls, and ways of effectively relating the imaging and image-guided treatments to the clinical situation. The information provided will permit a tailored approach in dealing with specific pathologic issues.
Image Principles, Neck, and the Brain
by Luca SabaMagnetic resonance imaging (MRI) is a technique used in biomedical imaging and radiology to visualize internal structures of the body. Because MRI provides excellent contrast between different soft tissues, the technique is especially useful for diagnostic imaging of the brain, muscles, and heart.In the past 20 years, MRI technology has improved si
Image Processing and Acquisition using Python (Chapman & Hall/CRC The Python Series)
by Ravishankar Chityala Sridevi PudipeddiImage Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing—one of the first books to integrate these topics together. By improving readers’ knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The second part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry. Features Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images. Contains many examples, detailed derivations, and working Python examples of the techniques. Offers practical tips on image acquisition and processing. Includes numerous exercises to test the reader’s skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book’s web page. New to this edition Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks. A new chapter on affine transform and many new algorithms. Updated Python code aligned to the latest version of modules.
Image Processing and Acquisition using Python (Chapman And Hall/crc Mathematical And Computational Imaging Sciences Ser.)
by Ravishankar Chityala Sridevi PudipeddiImage Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics together. By improving readers' knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectiv
Image Processing in Diabetic Related Causes
by Amit Kumar Fahimuddin ShaikThis book is a collection of all the experimental results and analysis carried out on medical images of diabetic related causes. The experimental investigations have been carried out on images starting from very basic image processing techniques such as image enhancement to sophisticated image segmentation methods. This book is intended to create an awareness on diabetes and its related causes and image processing methods used to detect and forecast in a very simple way. This book is useful to researchers, Engineers, Medical Doctors and Bioinformatics researchers.
Image Processing in Radiation Therapy (Imaging in Medical Diagnosis and Therapy)
by Kristy K. BrockImages from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus requiring medical physicists, clinicians, dosimetrists, radiation therapists, and trainees to integrate and segment these images efficiently and accurately in a clinical environment. Image Processing in Radiation
Image Processing with MATLAB: Applications in Medicine and Biology
by Omer Demirkaya Musa H. Asyali Prasanna K. SahooImage Processing with MATLAB: Applications in Medicine and Biology explains complex, theory-laden topics in image processing through examples and MATLAB algorithms. It describes classical as well emerging areas in image processing and analysis. Providing many unique MATLAB codes and functions throughout, the book covers the theory of probability an
Image Processing: Tensor Transform and Discrete Tomography with MATLAB ®
by Artyom M. Grigoryan Merughan M. GrigoryanFocusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along parallel rays to more quickly and accurately reconstruct images from a finite number of projections, thereby avoiding overradiation of the body during a computed tomography (CT) scan. The book presents several new ideas, concepts, and methods, many of which have not been published elsewhere. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. The authors supply numerous examples, MATLAB®-based programs, end-of-chapter problems, and experimental results of implementation. The main approach for image reconstruction proposed by the authors differs from existing methods of back-projection, iterative reconstruction, and Fourier and Radon filtering. In this book, the authors explain how to process each projection by a system of linear equations, or linear convolutions, to calculate the corresponding part of the 2-D tensor or paired transform of the discrete image. They then describe how to calculate the inverse transform to obtain the reconstruction. The proposed models for image reconstruction from projections are simple and result in more accurate reconstructions. Introducing a new theory and methods of image reconstruction, this book provides a solid grounding for those interested in further research and in obtaining new results. It encourages readers to develop effective applications of these methods in CT.
Image Reconstruction in Radiology
by J. A. ParkerThis one-of-a-kind resource provides a very readable description of the methods used for image reconstruction in magnetic resonance imaging, X-ray computed tomography, and single photon emission computed tomography. The goal of this fascinating work is to provide radiologists with a practical introduction to mathematical methods so that they may better understand the potentials and limitations of the images used to make diagnoses. Presented in four parts, this state-of-the-art text covers (1) an introduction to the models used in reconstruction, (2) an explanation of the Fourier transform, (3) a brief description of filtering, and (4) the application of these methods to reconstruction. In order to provide a better understanding of the reconstruction process, this comprehensive volume draws analogies between several different reconstruction methods. This informative reference is an absolute must for all radiology residents, as well as graduate students and professionals in the fields of physics, nuclear medicine, and computer-assisted tomography.
Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems
by Krishnan B. Chandran Joseph M. Reinhardt H. S. UdaykumarImage-Based Computational Modeling of the Human Circulatory and Pulmonary Systems provides an overview of the current modeling methods and applications enhancing interventional treatments and computer-aided surgery. A detailed description of the techniques behind image acquisition, processing and three-dimensional reconstruction are included. Techniques for the computational simulation of solid and fluid mechanics and structure interaction are also discussed, in addition to various cardiovascular and pulmonary applications. Engineers and researchers involved with image processing and computational modeling of human organ systems will find this a valuable reference.
Image-Based Computer-Assisted Radiation Therapy
by Hidetaka ArimuraThis book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy. In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy. All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy.
Image-Based Multilevel Biomechanical Modeling for Fall-Induced Hip Fracture
by Yunhua LuoFall-induced hip fracture is an epidemic health risk among elderly people. This book presents an image-based multilevel modeling approach to understanding the biomechanics involved in fall-induced hip fracture. By hierarchically integrating a body-level dynamics model, a femur-level finite element model, and a local bone failure model, the biomechanics approach is able to simulate all stages in sideways falls and to incorporate all biomechanical variables affecting hip fracture. This book is useful for clinicians to accurately evaluate fracture risk, for biomechanical engineers to virtually test hip protective devices, and for biomedical students to learn image-based biomechanical modeling techniques. This book also covers: Biomechanical viewing on bone composition, bone remodeling, and bone strength Bone imaging and information captured for constructing biomechanical models Bone mechanical testing and mechanical properties required for biomechanical modeling
Image-Based Prediction of Retinal Disease Progression: MICCAI Challenges, DIAMOND 2024 and MARIO 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings (Lecture Notes in Computer Science #15503)
by Gwenolé Quellec Mostafa El Habib Daho Rachid ZeghlacheThis book constitutes the proceedings from the MICCAI Challenges, Device-Independent Diabetic Macular Edema Onset Prediction, DIAMOND 2024, and Monitoring Age-Related macular degeneration progression in Optical coherence tomography, MARIO 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 15 papers included in this book from MARIO 2024 were carefully reviewed and selected from 17 submissions, whereas the 6 papers included here from DIAMOND 2024 were carefully reviewed and selected from 8 submissions. These papers focus on a wide range of state-of-the-art deep learning approaches to derive patient specific rules for Diabetic retinopathy (DR) and age-related macular degeneration (AMD) progression prediction from retinal images.
Image-Based Teaching: Techniques, Tips and Tricks
by Tara CatanzanoThis book offers detailed information on a variety of teaching techniques for radiology. Generational differences in communication and adult learning theory have led to changes in educational content delivery. Traditional didactic teaching methods are no longer embraced by students, requiring educators to learn and adopt new techniques. Radiologists currently in practice have little or no experience with these newer techniques, some thrust upon them abruptly by the COVID pandemic. In addition to practicing radiologists, the next generation of educators are currently in training and often do not receive instruction on educational theory and teaching techniques. It is incumbent upon members of the educational sphere to provide resources for these individuals. This work intends to provide just such a resource.The objectives of the book include: Explaining adult learning theory and brain-friendly teachingDescribing teaching techniques to leverage brain-friendly teachingReinforcing key points with links to online video-based lectures as an accompaniment to the text Topics covered across chapters include helping non-teaching faculty to teach, writing high quality MCQ questions, and teaching quality, safety, and professionalism. Each chapter will have one “key takeaway” chart at the conclusion of the chapter with high-yield key points highlighted in a bulleted format.This is an ideal guide for practicing radiologists, including those not currently working in academic centers. Faculty in non-academic centers can specifically benefit from chapters related to medical student, clinician and patient education. Future academic radiologists (i.e., fellows and residents) can benefit from the text as a foundation for careers in teaching hospitals and academic medical centers.
Image-Guided Aesthetic Treatments
by Robert L. BardThis book offers a detailed and up-to-date overview of image-guided aesthetic treatments. A wide range of aesthetic image-guided procedures in different body regions are described in more than twenty chapters. For each procedure, the benefits of image guidance are identified and its use is clearly explained. The coverage includes all the major tools commonly employed by today’s aesthetic and plastic surgeons, such as spectral imaging, laser, microfocused ultrasound, and radiofrequency technologies. Image guidance of aesthetic treatments has a variety of benefits: Image-guided treatment by means of non-surgical or minimally invasive modalities greatly reduces patient anxiety and the likelihood of postoperative disfigurement. Image guidance allows the physician to measure the skin thickness and the depth of fat tissue and to evaluate the elasticity of the skin and subcutaneous tissues, improving thermal treatment outcomes. It can also map the arteries, veins, and nerves, thereby providing preoperative landmarks and permitting reduction of postoperative bleeding and avoidance of nerve damage. Furthermore, imaging can non-invasively identify subdermal fillers or implants, assisting in the identification of migration with attendant vascular compromise or nerve entrapment. Image-Guided Aesthetic Treatments will be a valuable guide and reference not only for aesthetic practitioners, plastic surgeons, and other specialists, but also for imaging technicians and interested laypersons.
Image-Guided Cancer Therapy: A Multidisciplinary Approach
by Yuman Fong Damian E. Dupuy William N. McmullenImage-Guided Cancer Therapy: A Multidisciplinary Approach provides clinicians with in-depth coverage of the growing, dynamic field of interventional oncology. Combining the knowledge of expert editors and authors into one powerhouse reference, this book looks at tumor ablation, HIFU, embolic therapies, emerging technologies, and radiation therapy throughout the body (liver, bone, breast, gynecologic and prostate cancers, to name just a few) , and includes discussion of different imaging modalities. In the words of Peter Mueller, MD, author of the book's Foreword: "... The senior authors are all world renowned experts in interventional oncology, which is another example of the high quality authorship and experience that is brought to this book. The later chapters discuss therapies that are simply not covered in any other source. Everyone who is doing or wants to do ablation therapies and interventional oncology will face a time when they will be asked to use their expertise in less used and less investigated areas. There is nowhere else where the reader can get information on the prostate, breast, and gynecologic areas, and especially pediatrics....This book is an outstanding contribution to the literature and will become a 'must read' for all physicians who are interested in Interventional Oncology."
Image-Guided High-Precision Radiotherapy
by Esther G. C. TroostThis book equips readers with detailed knowledge on the current status of image-guided radiotherapy with photons and particles and highlights issues that need to be addressed in order to further improve treatment outcomes. The opening chapters cover clinical and technical aspects of target volume definition using anatomic (computed tomography and magnetic resonance imaging; MRI) as well as functional (MRI and positron emission tomography) imaging. Up-to-date information is then provided on the full range of image-guided high-precision radiotherapy techniques, including IMRT/VMAT, stereotactic body radiation therapy, MR-guided linear accelerators, MR-guided brachytherapy, and particle therapy. The role of ultrasonography in image-guided radiotherapy is discussed, as are the available means for target volume demarcation and stabilization and adaptive radiation therapy. Finally, outcome evaluation is explored in depth, with a particular focus on the role of multimodality imaging in predicting tumor control and normal tissue toxicity. The authors are experts in different specialties and the book will be of high value for radiation oncologists, medical physicists, radiologists, nuclear medicine physicians, and radiation technicians.
Image-Guided Hypofractionated Stereotactic Radiosurgery: A Practical Approach to Guide Treatment of Brain and Spine Tumors
by Arjun SahgalFollowing recent developments in hypofractionated stereotactic radiation therapy (SRT) for brain and spine tumors, this new edition offers a fully updated and comprehensive "how-to" guidance on hypofractionated SRT for brain and spine metastases, glioma, benign tumors, and other tumor types. Presenting the state of the art of the technology and practice, this book: • Discusses the pros and cons of hypofractionated SRT compared to single-fraction radiosurgery, providing a deeper understanding of radiosurgery and radiobiology • Explains the toxicity and adverse effects of hypofractionated SRT including the dosage of 24 Gy in two spine SBRT fractionation schemes, aiding practitioners in communicating the risks and benefits of treatment and in obtaining consent from their patients• Outlines the current standards for safe practice, including checklists for implementation• Explores new technologies for brain and spine tumors including LITT, MR-guided focused ultrasound, and Zap technology, with chapters authored by well-recognized experts in the radiation, oncology, and neurosurgery communities; this book delivers a level of technological and clinical detail not available in journal papers This book is suitable for radiation oncologists, neurosurgeons, and medical physicists who specialize in brain and/or spine radiosurgery or want to start a program and need a comprehensive reference with key checklists for practice.