Abstract
Computed tomography has been reported as most beneficial modality to mankind for effective diagnosis, planning, treatment and follows up of clinical cases. However, there is a potential risk of cancer among the recipients, who undergoes repeated computed tomography screening. This is mainly because the immunity of any living tissue can repair naturally the damage caused due to radiation only up-to a certain level. Beyond which the effort made by immunity in the natural repair can lead to cancerous cells. So, most computed tomography developers have enabled computed tomography modality with the feature of radiation dose management, working on the principle of as low as reasonably achievable. This article addresses the issue of low dose imaging and focuses on the enhancement of spatial resolution of images acquired from low dose, to improve the quality of image for acceptability; and proposes a system model and mathematical formulation of Highly Constrained-Back Projection.
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Navalli, A., Desai, S. (2016). Spatial Resolution Assessment in Low Dose Imaging. In: Nagar, A., Mohapatra, D., Chaki, N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 43. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2538-6_32
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DOI: https://doi.org/10.1007/978-81-322-2538-6_32
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