Projection correlation based view interpolation for cone beam CT: primary fluence restoration in scatter measurement with a moving beam stop array

被引:54
作者
Yan, Hao [1 ]
Mou, Xuanqin [1 ]
Tang, Shaojie [1 ]
Xu, Qiong [1 ]
Zankl, Maria [2 ]
机构
[1] Xi An Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Xian 710049, Shaanxi, Peoples R China
[2] German Res Ctr Environm Hlth, Inst Radiat Protect, Helmholtz Zentrum Munchen, Neuherberg, Germany
基金
中国国家自然科学基金;
关键词
X-RAY SCATTER; COMPUTED-TOMOGRAPHY; MICRO-CT; ALGORITHM; REDUCTION; MODULATION; SIMULATION; NOISE; MODEL;
D O I
10.1088/0031-9155/55/21/002
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Scatter correction is an open problem in x-ray cone beam (CB) CT. The measurement of scatter intensity with a moving beam stop array (BSA) is a promising technique that offers a low patient dose and accurate scatter measurement. However, when restoring the blocked primary fluence behind the BSA, spatial interpolation cannot well restore the high-frequency part, causing streaks in the reconstructed image. To address this problem, we deduce a projection correlation (PC) to utilize the redundancy (over-determined information) in neighbouring CB views. PC indicates that the main high-frequency information is contained in neighbouring angular projections, instead of the current projection itself, which provides a guiding principle that applies to high-frequency information restoration. On this basis, we present the projection correlation based view interpolation (PC-VI) algorithm; that it outperforms the use of only spatial interpolation is validated. The PC-VI based moving BSA method is developed. In this method, PC-VI is employed instead of spatial interpolation, and new moving modes are designed, which greatly improve the performance of the moving BSA method in terms of reliability and practicability. Evaluation is made on a high-resolution voxel-based human phantom realistically including the entire procedure of scatter measurement with a moving BSA, which is simulated by analytical ray-tracing plus Monte Carlo simulation with EGSnrc. With the proposed method, we get visually artefact-free images approaching the ideal correction. Compared with the spatial interpolation based method, the relative mean square error is reduced by a factor of 6.05-15.94 for different slices. PC-VI does well in CB redundancy mining; therefore, it has further potential in CBCT studies.
引用
收藏
页码:6353 / 6375
页数:23
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