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POCS-based restoration algorithm for beam modulation CT acquisition
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Paper Abstract

Region-of-interest (ROI) imaging is considered an effective method to reduce the exposure dose. We propose ROIbased beam modulation acquisition to restore the information outside of the ROI. The CT system and 3D voxelized abdominal phantom were simulated using the MATLAB R2017b program. A total of 360 projections were obtained and used for CT reconstruction with a filtered back projection (FBP) algorithm. Beam modulation CT images were reconstructed using 288 truncated and 72 full projections. An interpolation method and our proposed method based on a projection onto convex sets (POCS) algorithm corrected the truncated projections. The image quality of three ROIs was evaluated using the structural similarity index measure (SSIM). The reconstructed image obtained by beam modulation acquisition resulted in a much higher SSIM value for the external information than that obtained by the ROI scan. The proposed method based on a POCS algorithm provides the best image quality in beam modulation acquisition. In conclusion, we have verified the possibility of restoring the ROI external information using beam modulation acquisition.

Paper Details

Date Published: 27 March 2019
PDF: 4 pages
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 1105004 (27 March 2019); doi: 10.1117/12.2521003
Show Author Affiliations
Dohyeon Kim, Yonsei Univ. (Korea, Republic of)
Donghoon Lee, Yonsei Univ. (Korea, Republic of)
Hyemi Kim, Yonsei Univ. (Korea, Republic of)
Zhen Chao, Yonsei Univ. (Korea, Republic of)
Minjae Lee, Yonsei Univ. (Korea, Republic of)
Hee-joung Kim, Yonsei Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 11050:
International Forum on Medical Imaging in Asia 2019
Feng Lin; Hiroshi Fujita; Jong Hyo Kim, Editor(s)

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