Motion-compensated scheme for sequential scanned statistical iterative dual-energy CT reconstruction.

Motion-compensated scheme for sequential scanned statistical iterative dual-energy CT reconstruction.
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DOI:
10.1088/1361-6560/acdf38
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发表时间:
2023-07-05
影响因子:
3.5
通讯作者:
--
中科院分区:
工程技术2区
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--
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目标。双能计算机断层扫描(DECT)由于其能够更好地区分组织特性而被广泛用于重建许多类型的图像。顺序扫描是一种流行的双能数据采集方法,因为它不需要专门的硬件。然而,两次连续扫描之间的患者运动可能导致DECT统计迭代重建(SIR)图像中严重的运动伪影。目标是减少这种重建中的运动伪影。的方法。我们提出了一种运动补偿方案,该方案将变形向量场纳入任何DECT SIR中。通过多模态对称形变配准方法估计变形向量场。然后将预先计算的配准映射及其逆或伴随映射嵌入到迭代DECT算法的每次迭代中。主要的结果。仿真和临床案例的结果表明,所提出的框架能够减少DECT SIRs中的运动伪影。在模拟和临床病例中,感兴趣区域的均方误差百分比分别从4.6%降至0.5%和6.8%降至0.8%。然后进行了扰动分析,确定了用变形场和插值法近似连续变形时的误差。我们的研究结果表明,我们的方法中的误差主要通过目标图像传播,并被惩罚项的Fisher信息和Hessian信息组合的逆矩阵放大。的意义。我们提出了一种新的运动补偿方案,将3D配准方法结合到联合统计迭代DECT算法中,以减少扫描间运动引起的运动伪影,并成功地证明了扫描间运动校正可以集成到DECT SIR过程中,从而能够在传统的SECT扫描仪上准确成像放射量,而不会显着损失计算效率或精度。
Objective. Dual-energy computed tomography (DECT) has been widely used to reconstruct numerous types of images due its ability to better discriminate tissue properties. Sequential scanning is a popular dual-energy data acquisition method as it requires no specialized hardware. However, patient motion between two sequential scans may lead to severe motion artifacts in DECT statistical iterative reconstructions (SIR) images. The objective is to reduce the motion artifacts in such reconstructions. Approach. We propose a motion-compensation scheme that incorporates a deformation vector field into any DECT SIR. The deformation vector field is estimated via the multi-modality symmetric deformable registration method. The precalculated registration mapping and its inverse or adjoint are then embedded into each iteration of the iterative DECT algorithm. Main results. Results from a simulated and clinical case show that the proposed framework is capable of reducing motion artifacts in DECT SIRs. Percentage mean square errors in regions of interest in the simulated and clinical cases were reduced from 4.6% to 0.5% and 6.8% to 0.8%, respectively. A perturbation analysis was then performed to determine errors in approximating the continuous deformation by using the deformation field and interpolation. Our findings show that errors in our method are mostly propagated through the target image and amplified by the inverse matrix of the combination of the Fisher information and Hessian of the penalty term. Significance. We have proposed a novel motion-compensation scheme to incorporate a 3D registration method into the joint statistical iterative DECT algorithm in order to reduce motion artifacts caused by inter-scan motion, and successfully demonstrate that interscan motion corrections can be integrated into the DECT SIR process, enabling accurate imaging of radiological quantities on conventional SECT scanners, without significant loss of either computational efficiency or accuracy.
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