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- W50823897 abstract "Since its invention in the 1970s, x-ray CT imaging has been used ever increasingly to aid medical diagnosis and for nonmedical applications. In a typical x-ray CT scan, an x-ray source rotates around an object (i.e., a patient) and transmits x-rays through the object. Some of the x-ray photons pass through the object and are recorded by detectors on the other side. The raw measurements recorded by a CT scanner are nearly uninterpretable by humans, so sophisticated algorithms are needed to process those measurements to form cross-sectional or tomographic images suitable for human viewing. This processing is called image reconstruction, and such methods are designed using mathematical and physical models of x-ray CT scanners. This chapter describes the fundamentals of 2D and 3D image reconstruction algorithms. The emphasis is on x-ray CT imaging, though the general principles are also applicable to simplified versions of positron emission tomography and single-photon emission computed tomography, as well as some other imaging systems." @default.
- W50823897 created "2016-06-24" @default.
- W50823897 creator A5027207271 @default.
- W50823897 date "2014-01-01" @default.
- W50823897 modified "2023-10-15" @default.
- W50823897 title "Fundamentals of CT Reconstruction in 2D and 3D" @default.
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