Radiographic noise

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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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  • 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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  • 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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