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Med-books.by - Библиотека медицинской литературы » Медицинская информатика

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies - El-Baz A.S., U R.A., Mirmehdi M., Suri J.S. - 2011 год



Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies - El-Baz A.S., U R.A., Mirmehdi M., Suri J.S. - 2011 год

With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.
Segmentation of medical images in 2-D, 3-D, and 4-D has taken new dimension. This is mainly because for real-time image guidance in diagnosis and therapeutics. The application of image/volume registration is prominently seen in reconstruction, multimodality fusion, and now propagating in atlas-based analysis. The focus of this book is to share the application of combined segmentation and registration in medical imaging.

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Data Mining in Biomedical Imaging, Signaling, and Systems - Dua S., Acharya R. - 2011 год - 431 с.



Data Mining in Biomedical Imaging, Signaling, and Systems - Dua S., Acharya R. - 2011 год - 431 с.

Biosignals, medical images, and biosystems can effectively and efficiently characterize the health of the subject and can assist clinicians in making refined diagnoses for treatment. Because of the immense volume, heterogeneity, and complexity of data involved in these techniques, data mining has become an important amalgamation of indispensible and evolving tools for the accurate and fast implementation of biomedical applications. Novel data mining algorithms have aided in discovering and clarifying hidden information in medical data and have helped in accurately classifying pathological data from normal data. Data mining applied to medical data can help automated decision making, visualization, and extraction of hidden complex features from different patient groups and disease states. This book has 16 chapters that describe the applications of data mining in biosignals, medical imaging, and biosystems, and they explain how the applications aid in clinical diagnostic discovery. These chapters contain several examples of heterogeneous data modalities that are frequently encountered in biomedical and clinical applications, as well as detailing the applicability of fundamental data mining approaches and paradigms employed to address the computational challenges in analyzing this data for knowledge discovery.

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Medical Image Processing: Techniques and Applications (Biological and Medical Physics, Biomedical Engineering) - Dougherty Geoff - 2011 год



Medical Image Processing: Techniques and Applications (Biological and Medical Physics, Biomedical Engineering) - Dougherty Geoff - 2011 год

The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and ?e?+otricks of the trade?e?T?. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.

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Principles And Advanced Methods In Medical Imaging And Image Analysis - Dhawan A.P. - 2008 год



Principles And Advanced Methods In Medical Imaging And Image Analysis - Dhawan A.P. - 2008 год

We are pleased to bring Principles and Advanced Methods in
Medical Imaging and Image Analysis, a volume of contributory
chapters, to the scientific community. The book is a compilation
of carefully crafted chapters written by leading researchers in the
field of medical imaging they have put in a great deal of effort
in contributing the various chapters. This book can be used as
a research reference or a text book for graduate level courses in
biomedical engineering and medical sciences.
The book is a unique combination of chapters describing the
principles as well as state-of-the-art advanced methods in medical
imaging and image analysis for selected applications. Though computerized
medical imaging has a very wide spectrumof applications
in diagnostic radiology and medical research, we have selected a
subset of important imaging modalities with specific applications
that are significant in medical sciences and clinical practice. The
topics covered in the chapters have been developed with a natural
progression of understanding, keeping in mind future technological
advances that are expected to have a major impact in clinical practice
and the understanding of complex pathologies. We hope that
this book will provide a unique learning experience from theoretical
concepts to advanced methods and applications to researchers,
clinicians and students.

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An Introduction to Microwave Imaging for Breast Cancer Detection - Conceição R.C., Mohr J.J., O'Halloran M. - 2016 год



An Introduction to Microwave Imaging for Breast Cancer Detection - Conceição R.C., Mohr J.J., O'Halloran M. - 2016 год

This book collates past and current research on one of the most promising emerging modalities for breast cancer detection. Readers will discover how, as a standalone technology or in conjunction with another modality, microwave imaging has the potential to provide reliable, safe and comfortable breast exams at low cost. Current breast imaging modalities include X- ray, Ultrasound, Magnetic Resonance Imaging, and Positron Emission Tomography. Each of these methods suffers from limitations, including poor sensitivity or specificity, high cost, patient discomfort, and exposure to potentially harmful ionising radiation. Microwave breast imaging is based on a contrast in the dielectric properties of breast tissue that exists at microwave frequencies.
The book begins by considering the anatomy and dielectric properties of the breast, contrasting historical and recent studies. Next, radar-based breast imaging algorithms are discussed, encompassing both early-stage artefact removal, and data independent and adaptive beamforming algorithms. In a similar fashion, microwave tomographic reconstruction algorithms are reviewed in the following chapter, introducing the reader to both the fundamental and more advanced algorithms. Apart from imaging, the book also reviews research efforts in extracting clinically useful information from the Radar Target Signature of breast tumours, which is used to classify tumours as either benign or malignant. Finally, the book concludes by describing the current state of the art in terms of prototype microwave breast imaging systems, with a particular emphasis on those which have progressed to the clinical evaluation stage.
This work is motivated by the fact that breast cancer is one of the leading causes of death amongst women in Europe and the US, and the second most common cancer in the world today. Such an important area of research will appeal to many scholars and practitioners.

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Cardiovascular and Neurovascular Imaging: Physics and Technology - Cavedon C., Rudin S. - 2016 год



Cardiovascular and Neurovascular Imaging: Physics and Technology - Cavedon C., Rudin S. - 2016 год

Cardiovascular and Neurovascular Imaging: Physics and Technology explains the underlying physical and technical principles behind a range of cardiovascular and neurovascular imaging modalities, including radiography, nuclear medicine, ultrasound, and magnetic resonance imaging (MRI). Examining this interdisciplinary branch of medical imaging from academic, clinical, and industrial perspectives, this comprehensive book:
Covers each major imaging modality as well as special applications, time-resolved techniques, and image-guided therapies Discusses image quality and accuracy, radiation safety and dosimetry, and image formation and analysis Explores current and future trends in vascular imaging procedures and technologies
Featuring chapters authored by field experts, Cardiovascular and Neurovascular Imaging: Physics and Technology combines the latest information on the physics and technology of cardiovascular and neurovascular imaging under one cover, providing students, professionals, and researchers with a single, state-of-the-art reference.

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Medical imaging informatics - Bui A.A.T., Taira R.K. - 2010 год - 562 с.



Medical imaging informatics - Bui A.A.T., Taira R.K. - 2010 год - 562 с.

The book provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications.
Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.

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Handbook of Medical Imaging. Volume 1. Physics and Psychophysics - Beutel J., Kundel H.L., Van Metter R.L. - 2000 год



Handbook of Medical Imaging. Volume 1. Physics and Psychophysics - Beutel J., Kundel H.L., Van Metter R.L. - 2000 год

During the last few decades of the twentieth century, partly in concert with the increasing availability of relatively inexpensive computational resources, medical imaging technology, which had for nearly 80 years been almost exclusively concerned with conventional film/screen x-ray imaging, experienced the development and commercialization of a plethora of new imaging technologies. Computed tomography, MRI imaging, digital subtraction angiography, Doppler ultrasound imaging, and various imaging techniques based on nuclear emission (PET, SPECT, etc.) have all been valuable additions to the radiologist’s arsenal of imaging tools toward ever more reliable detection and diagnosis of disease. More recently, conventional x-ray imaging technology itself is being challenged by the emerging possibilities offered by flat panel x-ray detectors. In addition to the concurrent development of rapid and relatively inexpensive computational resources, this era of rapid change owes much of its success to an improved understanding of the information theoretic principles on which the development and maturation of these new technologies is based. A further important corollary of these developments in medical imaging technology has been the relatively rapid development and deployment of methods for archiving and transmitting digital images. Much of this engineering development continues to make use of the ongoing revolution in rapid communications technology offered by increasing bandwidth.

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A Practical Approach to Medical Image Processing - Berry E. - 2007 год - 308 с.



A Practical Approach to Medical Image Processing - Berry E. - 2007 год - 308 с.

Allows readers to learn techniques through worked examples, exercises, and problems. This book covers image processing and its practical applications to medical images. It emphasizes on the effects of a technique on an image.

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