Interior Reconstruction from Truncated Projection Data in Cone-beam Computed Tomography

被引：1

作者：

Wang Xianchao ^{[1
]}

Li Shaoyi ^{[1
]}

Hou Changhui ^{[1
]}

机构：

[1] Nanchang Inst Sci & Technol, Sch Artificial Intelligence, Nanchang 330108, Jiangxi, Peoples R China

来源：

JOURNAL OF DIGITAL IMAGING | 2023年 / 36卷 / 01期

关键词：

CT; Interior reconstruction; Truncated projection data; FBP algorithm; Data recovery; IMAGE-RECONSTRUCTION; REGION; ART;

D O I：

10.1007/s10278-022-00695-8

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

The interior reconstruction of completely truncated projection data is a frontier research hotspot in cone-beam computed tomography (CBCT) application. It is difficult to find a method with acceptable accuracy and high efficiency to solve it. Based on the simplified algebraic reconstruction technique (S-ART) algorithm and the filtered back projection (FBP) algorithm with the new filter, an efficient and feasible interior reconstruction algorithm is proposed in this paper. The algorithm uses the S-ART algorithm to quickly recover the complete projection data and then uses the new ramp filter which can suppress the high-frequency noise in the projection data to filter the recovered complete projection data. Finally, the interior reconstructed images are obtained by back projection. The computational complexity of the proposed algorithm is close to that of the FBP algorithm for the reconstruction of the whole object, and the reconstructed image quality is acceptable, which provides an effective method for interior reconstruction in CBCT. Simulation results show the effectiveness of the method.

引用

页码：250 / 258

页数：9

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