Computed Tomography: Approaches, Applications, and Operations
CT performance optimization
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, Chapter
Solomon, J; Samei, E
January 1, 2019
This chapter discusses the principles of optimization in CT imaging and how to target specific levels of image quality under the constraint of mitigating factors such as radiation dose. The goals are to (a) understand the theory behind imaging optimization, (b) learn about practical steps that can be taken to ensure imaging consistency across diverse CT systems, and (c) learn about practical steps that can be taken to optimize clinical performance with respect to radiation dose. These practical guides are based on analysis of both prospective phantom data and retrospective data from dose and image quality monitoring systems.
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Solomon, J., & Samei, E. (2019). CT performance optimization. In Computed Tomography: Approaches, Applications, and Operations (pp. 143–164). https://doi.org/10.1007/978-3-030-26957-9_8
Solomon, J., and E. Samei. “CT performance optimization.” In Computed Tomography: Approaches, Applications, and Operations, 143–64, 2019. https://doi.org/10.1007/978-3-030-26957-9_8.
Solomon J, Samei E. CT performance optimization. In: Computed Tomography: Approaches, Applications, and Operations. 2019. p. 143–64.
Solomon, J., and E. Samei. “CT performance optimization.” Computed Tomography: Approaches, Applications, and Operations, 2019, pp. 143–64. Scopus, doi:10.1007/978-3-030-26957-9_8.
Solomon J, Samei E. CT performance optimization. Computed Tomography: Approaches, Applications, and Operations. 2019. p. 143–164.