Medical imaging

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  • In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging.

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  • Everyday, millions of medical images are produced worldwide, to aid diagnosis and treat‐ ment of patients. A typical patient’s diagnostic work-up is often incomplete without a medi‐ cal imaging technique. The various techniques for achieving this have continued to evolve, from the basics through the sophisticated and now to the abstract.

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  • Tham khảo sách 'medical imaging in clinical practice edited by okechukwu felix erondu', y tế - sức khoẻ, y học thường thức phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Because of the availability of powerful computational techniques, new modality techniques such as Computer-Aided Tomography (CAT), Magnetic Resonance Imaging (MRI) and others, and because of the new techniques of imaging processing (machine vision), the lives of many patients will be saved, and the quality of all our lives improved. This marriage of powerful computer technology and medical imaging has spawned a new and growing generation of young dynamic doctors who hold PhDs in physics and/or computer science, along with their MDs.

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  • The idea of this book originates from a series of lectures on “Detectors Application in Medicine and Biology” that I was asked to give as part of the Academic Training Program at CERN in 1995. In preparing the series of lectures, I realized that I would be talking about detector properties and the medical applications of these detectors to the scientists and engineers who were their inventors.

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  • Image registration is an emerging topic in image processing with many applications in medical imaging, picture and movie processing. The classical problem of image registration is concerned with finding an appropriate transformation between two data sets. This fuzzy definition of registration requires a mathematical modeling and in particular a mathematical specification of the terms appropriate transformations and correlation between data sets. Depending on the type of application, typically Euler, rigid, plastic, elastic deformations are considered.

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  • Tham khảo sách 'medical imaging systems technology methods in diagnosis optimization a 5-volume set', y tế - sức khoẻ, y dược phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo sách 'medical imaging systems technology a 5-volume set', y tế - sức khoẻ, y dược phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo sách 'medical imaging systems technology a 5-volume set modalities', y tế - sức khoẻ, y dược phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • (BQ) Part 1 book "Handbook of medical imaging" presents the following contents: Enhancement (fundamental enhancement techniques, adaptive image filtering, enhancement by multiscale nonlinear operators,...), segmentation, quantification.

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  • (BQ) Part 2 book "Handbook of medical imaging" presents the following contents: Registration, visualization, compression storage and communication, visualization pathways in biomedicine, spatial transformation models, registration for image guided surgery, morphometric methods for virtual endoscopy,..

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  • Writing and rewriting a text such as Medical Imaging Physics over several editions presents two challenges. The first is to keep the information fresh and relevant. This is a particular challenge in medical imaging, because the field is evolving so rapidly. The third edition of this text was published in 1992, just 10 short years ago. Yet in that text no mention was made of topics such as photodiode or direct conversion digital x-ray imagers; digital mammography; digital fluoroscopy; power Doppler ultrasound; functional magnetic resonance imaging; elastography; or helical CT scanning.

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  • Rapid technical advances in medical imaging, including its growing application to drug/gene therapy and invasive/interventional procedures, have attracted significant interest in close integration of research in life sciences, medicine, physical sciences and engineering. This is motivated by the clinical and basic science research requirement of obtaining more detailed physiological and pathological information about the body for establishing localized genesis and progression of diseases.

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  • This series constitutes a collection of selected papers presented at the International Conference on Medical Imaging and Informatics (MIMI2007), held during August 14–16, in Beijing, China. The conference, the second of its kind, was funded by the European Commission (EC) under the Asia IT&C programme and was co-organized by Middlesex University, UK and Capital University of Medical Sciences, China. The aim of the conference was to initiate links between Asia and Europe and to exchange research results and ideas in the field of medical imaging.

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  • Tham khảo sách 'medical imaging in clinical practice_1', y tế - sức khoẻ, y học thường thức phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • (BQ) Part 1 the book "Clark's essential physics in imaging for radiographers" presents the following contents: Overview of image production, mathematics for medical imaging, physics for medical imaging, X-ray interactions in matter, X-rays, X-ray tube and X-ray circuit.

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  • Medical Imaging in Clinical Practice is a compendium of the various applications of imaging modalities in specific clinical conditions. It captures in an easy to read manner, the experiences of various experts drawn from across the globe. It explores the conventional techniques, advanced modalities and on going research efforts in the ever widening horizon of medical imaging.

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  • Beginning with modest initial attempts in roughly the 1960s, digital image processing has become a recognized field of science, as well as a broadly accepted methodology, to solve practical problems in many different kinds of human activities. The applications encompass an enormous range, starting perhaps with astronomy, geology, and physics, via medical, biological, and ecological imaging and technological exploitation, up to the initially unexpected use in humane sciences, e.g., archaeology or art history.

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  • Chapter 1 presents IVUS. Intravascular ultrasound images represent a unique tool to guide interventional coronary procedures; this technique allows to supervise the cross-sectional locations of the vessel morphology and to provide quantitative and qualitative information about the causes and severity of coronary diseases. At the moment, the automatic extraction of this kind of information is performed without taking into account the basic signal principles that guide the process of image generation....

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  • In Chapter 1 we present in detail a framework for fully automated brain tissue classification. The framework consists of a sequence of fully automated state of the art image registration (both rigid and nonrigid) and image segmentation algorithms. Models of the spatial distribution of brain tissues are combined with models of expected tissue intensities, including correction of MR bias fields and estimation of partial voluming. We also demonstrate how this framework can be applied in the presence of lesions....

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