Abstract
Over the past two decades, rapid system and hardware development of x-ray computed tomography (CT) technologies has been accompanied by equally exciting advances in image reconstruction algorithms. The algorithmic development can generally be classified into three major areas: analytical reconstruction, model-based iterative reconstruction, and application-specific reconstruction. Given the limited scope of this chapter, it is nearly impossible to cover every important development in this field; it is equally difficult to provide sufficient breadth and depth on each selected topic. As a compromise, we have decided, for a selected few topics, to provide sufficient high-level technical descriptions and to discuss their advantages and applications.
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Hsieh, J., Nett, B., Yu, Z., Sauer, K., Thibault, J. B., & Bouman, C. A. (2013). Recent Advances in CT Image Reconstruction. Current Radiology Reports, 1(1), 39–51. https://doi.org/10.1007/s40134-012-0003-7
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