Download e-book for iPad: Fundamentals of medical imaging by Paul Suetens

By Paul Suetens

Basics of scientific Imaging, moment variation, is a useful technical advent to every imaging modality, explaining the mathematical and actual ideas and giving a transparent figuring out of ways photographs are received and interpreted. person chapters disguise each one imaging modality - radiography, CT, MRI, nuclear drugs and ultrasound - reviewing the physics of the sign and its interplay with tissue, the picture formation or reconstruction approach, a dialogue of picture caliber and gear, medical functions and organic results and questions of safety. next chapters overview photograph research and visualization for analysis, remedy and surgical procedure. New to this version: • Appendix of questions and solutions • New bankruptcy on 3D snapshot visualization • complex mathematical formulae in separate textual content containers • Ancillary site containing 3D animations: • complete color illustrations all through Engineers, clinicians, mathematicians and physicists will locate this a useful relief in figuring out the actual ideas of imaging and their medical purposes.

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Compare this to the dose equivalent due to natural sources, which is 2–3 mSv per year. 2%/Sv. 1%/Sv respectively. Because of the potential risk of medical irradiation, the ICRP recommends keeping the magnitude of individual examination doses as low as reasonably achievable (ALARA principle). There are no dose limits for patients, but every exposure should be justified. This is, to a large extent, a medical decision. The physician should have as much knowledge as possible about previous examinations of the patient and about the patient’s condition.

Both the patient and the film rotate at the same fixed speed around a vertical axis while the X-ray source remains stationary. 1) where µ is the linear attenuation coefficient. With this definition, air and water have a CT number of, respectively, −1000 HU and 0 HU. Bone falls on the positive side of the scale, but has no unique CT number. This value ranges from several hundreds to over 1000 HU. 3). Some clinical applications look at air–tissue or tissue–bone contrasts on the order of 1000 HU, but other clinical exams focus on small soft tissue contrasts of a few HU.

Various approaches exist to solve Eqs. 17). For example, the inverse relationship can be modeled by a second- or third-order polynomial. If more than two measurements and corresponding equations are available, an optimization strategy is required to solve the overdetermined system. This is for example the case when photon-counting detectors can be used. More information on numerical optimization can be found in [3]. , bone and soft tissue). Note that the above theory needs some modification in the presence of a substance with an observable K-edge in the energy range [Emin , Emax ].

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