Hybrid imaging technique of half ROI and full view scan for dose reduction

Dohyeon Kim; Hee-joung Kim

doi:10.1117/12.2566463

1 June 2020 Hybrid imaging technique of half ROI and full view scan for dose reduction

Dohyeon Kim, Hee-joung Kim

Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115152O (2020) https://doi.org/10.1117/12.2566463
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia

Abstract

Although many studies of iterative based reconstruction algorithm have been performed on dose reduction in medical applications, there is little research on how to approach the systematical acquisition method to reduce the dose. In this study, we proposed a hybrid imaging technique using half ROI and full view scan as a new acquisition method. A prototype of the CT system (TVX-IL1500H, GERI, Korea) was used. The source-to-detector and the source-to-center of rotation distance were 1178 and 905 mm, respectively. A total of 720 projection data were obtained, from which full view CT reconstructed images were obtained as a reference image using a filtered back projection (FBP). Interior ROI CT images were reconstructed using the 720 truncated projection data. Proposed hybrid CT image was reconstructed using 360 truncated and variable number of nontruncated full-size projection data. We set a total of 6 acquisition parameters according to the number of full-size projection data and acquire hybrid images. Dose reduction can be achieved through half ROI and full view scan. As the number of nontruncated full-size projection data on the hybrid image increases, the CNR value increases. FOM values were also derived for each parameter. In conclusion, appropriate acquisition parameter for half ROI and full view scan was derived based on the FOM values.

Citation Download Citation

Dohyeon Kim and Hee-joung Kim "Hybrid imaging technique of half ROI and full view scan for dose reduction", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115152O (1 June 2020); https://doi.org/10.1117/12.2566463

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