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

Applied Medical Image Processing: A Basic Course - Birkfellner W. - 2014 год - 448 с.



Applied Medical Image Processing: A Basic Course - Birkfellner W. - 2014 год - 448 с.

The discipline of modern medical imaging is really quite young, having its landmark launch in the early 1970s with the development of CT scanning. With that advent, imaging became fully digital, and three-dimensional. This heralded a rich future for imaging in the healthcare industry facilitated by computers. Computers are so embedded in medical imaging that we have lost sight of them as the enabling technology which has made multi-modality, multi-dimensional, multi-faceted medical imaging possible to do and, indeed, impossible to be without. The roots of this remarkable revolution remain important. A basic understanding of the fundamental principles, tenets and concepts underlying modern medical imaging is critically important in order to advance and realize its full future
potential. That is why this book is significant and timely. It provides a cogent, not overly simplified, not excessively mathematical treatise of basic principles that the student, trainee, young scientist, and junior practitioner can readily grasp and apply. Such empowerment will inevitably lead to advancing the state of the art in medical imaging science. This will be the opportunity presented to those students whose college or university professors select this book as a basic text in their imaging courses. It will enable the diligent student who studies and peruses it to implement the principles and concepts outlined. It will permit him or her to become an active participant, contributor and perhaps even a "new Godfrey Hounsfield".

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Introductory Medical Imaging - Bharath A.A. - 2009 год - 186 с.



Introductory Medical Imaging - Bharath A.A. - 2009 год - 186 с.

ABSTRACT
This book provides an introduction to the principles of several of the more widely used methods in medical imaging. Intended for engineering students, it provides a final-year undergraduate- or graduate-level introduction to several imaging modalities, including MRI, ultrasound and X-Ray CT. The emphasis of the text is on mathematical models for imaging and image reconstruction physics. Emphasis is also given to sources of imaging artefacts. Such topics are usually not addressed across the different imaging modalities in one book, and this is a notable strength of the treatment given here.
KEYWORDS
Medical Imaging, Ultrasonic Imaging, X-Ray Imaging, Magnetic Resonance Imaging, Computer Aided Tomography (CAT), Mathematical Models for Imaging, Image Formation Physics, Image Reconstruction.

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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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Computer Vision Approaches to Medical Image Analysis - Beichel R., Sonka M. - 2006 год - 260 с.



Computer Vision Approaches to Medical Image Analysis - Beichel R., Sonka M. - 2006 год - 260 с.

This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006. The 10 revised full papers and 11 revised poster papers presented together with one invited talk were carefully reviewed and selected from 38 submissions.

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Handbook of Medical Image Processing and Analysis - Bankman I.H. - 2009 год - 970 с.



Handbook of Medical Image Processing and Analysis - Bankman I.H. - 2009 год - 970 с.

The development of medical imaging over the past four decades has been truly revolutionary. For example, in cardiology specialized three-dimensional motion estimation algorithms allow myocardial motion and strain measurements using tagged cardiac magnetic resonance imaging. In mammography, shape and texture analysis techniques are used to facilitate the diagnosis of breast cancer and assess its risk. Three-dimensional volumetric visualization of CT and MRI data of the spine, internal organs and the brain has become the standard for routine patient diagnostic care.
What is perhaps most remarkable about these advances in medical imaging is the fact that the challenges have required significant innovation in computational techniques for nearly all aspects of image processing in various fields. The use of multiple imaging modalities on a single patient, for example MRI and PET, requires sophisticated algorithms for image registration and pattern matching. Automated recognition and diagnosis require image segmentation, quantification and enhancement tools. Algorithms for image segmentation and visualization are employed broadly through many applications using all of the digital imaging modalities. And finally, the widespread availability of medical images in digital format has spurred the search for efficient and effective image compression and communication methods.
Advancing the frontiers of medical imaging requires the knowledge and application of the latest image manipulation methods. In Handbook ofMedical Image Processing and Analysis, Dr. Bankman has assembled a comprehensive summary of the state-of-the-art in image processing and analysis tools for diagnostic and therapeutic applications of medical imaging. Chapters cover a broad spectrum of topics presented by authors who are highly expert in their respective fields. For all those who are working in this exciting field, the Handbook should become a standard reference text in medical imaging.

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Mathematical Methods in Medical Image Processing - Angenent Sigurd., Pichon E., Tannenbaum Allen R. - 2006 год



Mathematical Methods in Medical Image Processing - Angenent Sigurd., Pichon E., Tannenbaum Allen R. - 2006 год

In this paper, we describe some central mathematical problems in medical imaging. The subject has been undergoing rapid changes driven by better hardware and software. Much of the software is based on novel methods utilizing geometric partial differential equations in conjunction with standard signal/image processing techniques as well as computer graphics facilitating man/machine interactions. As part of this enterprise, researchers have been trying to base biomedical engineering principles on rigorous mathematical foundations for the development of software methods to be integrated into complete therapy delivery systems. These systems support the more effective delivery of many image-guided procedures such as radiation therapy, biopsy, and minimally invasive surgery. We will show how mathematics may impact some of the main problems in this area including image enhancement, registration, and segmentation.

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Medical Imaging. Principles and Practices - Analoui M., Bronzino J.D., Peterson D.R. - 2012 год - 444 с.



Medical Imaging. Principles and Practices - Analoui M., Bronzino J.D., Peterson D.R. - 2012 год - 444 с.

The last two decades have witnessed the explosive growth of image production from digital photographs to the medical scans, satellite images, and video films. Consequently, the number of applications based on digital images has drastically increased, including multimedia integration, computer animation, video games, communication and digital arts, medicine, biometry, etc. Although being very different from one another, all these application areas rely on similar image processing and analysis techniques. The field of image or video processing analysis is very broad, encompassing a wide variety of research issues from low-level processing (such as image enhancement, restoration, and segmentation) to high-level analysis (semantic object extraction, indexing databases of images, and computer-human interaction).

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Cardiovascular Imaging: Arterial and Aortic Valve Inflammation and Calcification - Aikawa Elena - 2015 год



Cardiovascular Imaging: Arterial and Aortic Valve Inflammation and Calcification - Aikawa Elena - 2015 год

In the twenty-first century, molecular or functional imaging has provided a new frontier for advancing the field of cardiovascular imaging. This approach joins the traditional quest for defining structure and physiologic function with advances in understanding the cells and molecules involved in the pathogenesis of cardiovascular diseases. Molecular imaging weds basic science discoveries to imaging in a manner that promises to transform cardiovascular medicine and science.

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Case Studies in Medical Imaging. Radiology for Students and Trainees - Ahuja A.T., Antonio G.E., Wong K.T., H.Y. Yuen H.Y. - 2006 год



Case Studies in Medical Imaging. Radiology for Students and Trainees - Ahuja A.T., Antonio G.E., Wong K.T., H.Y. Yuen H.Y. - 2006 год

In this book, knowledge is conveyed predominantly through case studies using images and supplemented with brief text in a question and answer format. The core knowledge in Radiology that a medical graduate ‘must know’ is covered in these cases. This book does not discuss the physical principles of the various imaging modalities, as these have been adequately covered in other ‘textbooks’, but focuses on imaging information for common cases medical student and young residents must be familiar with.
In the preparation of this book two other books have been extensively referred to. These are Wolfgang Dahnert: Radiology Review Manual and Chapman S, Nakielny R: Aids to Radiological Differential Diagnosis. They have distilled the basic facts regarding imaging and clinical information and have become essential reading material for most radiology residents and trainees. The facts stated in these books are clear, indisputable and have themselves been obtained with the help of many other reputable radiology texts. This is a legacy that is passed on from teachers, colleagues, collaborators which continues to benefit medical education.
All the authors and co-editors in this book are teachers in academic departments and have a wealth of teaching experience. They are strongly committed to medical teaching and their efforts are appreciated by students and colleagues alike. They have put to paper knowledge and skills acquired over many years of teaching with the aim of improving Radiology teaching in the Medical Curriculum.

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