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26 October 2004 A preliminary study of multiple-image computed tomography
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Abstract
In conventional computed tomography (CT) a single volumetric image representing the linear attenuation coefficient of an object is produced. For weakly absorbing tissues, the attenuation of the X-ray beam may not be the best description of disease-related information. In this work we present a new volumetric imaging method, called multiple-image computed tomography (MICT), that can concurrently produce several images from a set of measurements made with a single X-ray beam. MICT produces three volumetric images that represent the attenuation, refraction, ultra-small-angle scattering properties of an object. The MICT method is implemented to reconstruct images of a physical phantom and a biological object from measurement data produced by a synchroton light source. An iterative reconstruction method is employed for reconstruction of MICT images from experimental data sets that contains enhanced Poisson noise levels that are representative of future benchtop implementations of MICT. We also demonstrated that images produced by the DEI-CT method (the predecessor of MICT) can contain significant artifacts due to ultra-small-angle scattering effects while the corresponding MICT images do not.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miles N. Wernick, Jovan G. Brankov, Dean Chapman, Yongyi Yang, Carol Muehleman, Zhong Zhong, and Mark A. Anastasio "A preliminary study of multiple-image computed tomography", Proc. SPIE 5535, Developments in X-Ray Tomography IV, (26 October 2004); https://doi.org/10.1117/12.560211
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