Fast local reconstruction by selective backprojection for low dose in dental computed tomography

YAN Bin; DENG Lin; HAN Yu; ZHANG Feng; WANG Xian-Chao; LI Lei

doi:10.1088/1674-1137/38/10/108201

Chinese Physics C> 2014, Vol. 38> Issue(10) : 108201 DOI: 10.1088/1674-1137/38/10/108201

Fast local reconstruction by selective backprojection for low dose in dental computed tomography

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Abstract：
The high radiation dose in computed tomography (CT) scans increases the lifetime risk of cancer, which becomes a major clinical concern. The backprojection-filtration (BPF) algorithm could reduce the radiation dose by reconstructing the images from truncated data in a short scan. In a dental CT, it could reduce the radiation dose for the teeth by using the projection acquired in a short scan, and could avoid irradiation to the other part by using truncated projection. However, the limit of integration for backprojection varies per PI-line, resulting in low calculation efficiency and poor parallel performance. Recently, a tent BPF has been proposed to improve the calculation efficiency by rearranging the projection. However, the memory-consuming data rebinning process is included. Accordingly, the selective BPF (S-BPF) algorithm is proposed in this paper. In this algorithm, the derivative of the projection is backprojected to the points whose x coordinate is less than that of the source focal spot to obtain the differentiated backprojection. The finite Hilbert inverse is then applied to each PI-line segment. S-BPF avoids the influence of the variable limit of integration by selective backprojection without additional time cost or memory cost. The simulation experiment and the real experiment demonstrated the higher reconstruction efficiency of S-BPF.

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YAN Bin, DENG Lin, HAN Yu, ZHANG Feng, WANG Xian-Chao and LI Lei. Fast local reconstruction by selective backprojection for low dose in dental computed tomography[J]. Chinese Physics C, 2014, 38(10): 108201. doi: 10.1088/1674-1137/38/10/108201

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Received: 2013-11-25
Revised: 1900-01-01

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沈阳化工大学材料科学与工程学院沈阳 110142

Fast local reconstruction by selective backprojection for low dose in dental computed tomography

Corresponding author: YAN Bin,

Corresponding author: DENG Lin,

Corresponding author: LI Lei,

Received Date: 2013-11-25
Accepted Date: 1900-01-01
Available Online: 2014-10-05

Abstract: The high radiation dose in computed tomography (CT) scans increases the lifetime risk of cancer, which becomes a major clinical concern. The backprojection-filtration (BPF) algorithm could reduce the radiation dose by reconstructing the images from truncated data in a short scan. In a dental CT, it could reduce the radiation dose for the teeth by using the projection acquired in a short scan, and could avoid irradiation to the other part by using truncated projection. However, the limit of integration for backprojection varies per PI-line, resulting in low calculation efficiency and poor parallel performance. Recently, a tent BPF has been proposed to improve the calculation efficiency by rearranging the projection. However, the memory-consuming data rebinning process is included. Accordingly, the selective BPF (S-BPF) algorithm is proposed in this paper. In this algorithm, the derivative of the projection is backprojected to the points whose x coordinate is less than that of the source focal spot to obtain the differentiated backprojection. The finite Hilbert inverse is then applied to each PI-line segment. S-BPF avoids the influence of the variable limit of integration by selective backprojection without additional time cost or memory cost. The simulation experiment and the real experiment demonstrated the higher reconstruction efficiency of S-BPF.