Fold-Preserving Electronic Cleansing Using a Reconstruction Model Integrating Material Fractions and Structural Responses
Fold-Preserving Electronic Cleansing Using a Reconstruction Model Integrating Material Fractions and Structural Responses
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DOI：
10.1109/tbme.2013.2238937
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发表时间：
2013-06-01
影响因子：
4.6
通讯作者：
Kim, Tae-Gong
中科院分区：
文献类型：
--
作者：
Lee, Hyunna;Kim, Bohyoung;Kim, Tae-Gong
在本文中，我们提出了一种电子清理方法，使用新颖的重建模型来去除计算机断层扫描（CT）图像中的标记材料（TM）。为了同时解决部分体积 (PV) 和伪增强 (PEH) 效应，材料分数和结构响应被集成到单个重建模型中。在我们的方法中，首先分割结肠成分，包括空气、TM、空气和TM之间的界面层以及软组织（ST）和TM（ILST/TM）之间的界面层。对于 ILST/TM 中的每个体素，使用两种材料转变模型导出 ST 和 TM 的材料分数，并通过基于 Hessian 矩阵特征值特征的 rut 增强函数计算识别 TM 中淹没的褶皱的结构响应。然后，根据材料分数和结构响应重建 ILST/TM 中每个体素的 CT 密度值。材料部分有效地消除了 ILST/TM 中由 PV 效应引起的混叠伪影，而结构响应则避免了由 PEH 效应引起的水下褶皱的错误清理。使用十个临床数据集的实验结果表明，与之前的方法相比，所提出的方法显示出更高的清洁质量和更好的水下褶皱保存效果，这通过手动分割褶皱区域更高的平均密度值和褶皱保存率得到了验证。
In this paper, we propose an electronic cleansing method using a novel reconstruction model for removing tagged materials (TMs) in computed tomography (CT) images. To address the partial volume (PV) and pseudoenhancement (PEH) effects concurrently, material fractions and structural responses are integrated into a single reconstruction model. In our approach, colonic components including air, TM, an interface layer between air and TM, and an interface layer between soft-tissue (ST) and TM (ILST/TM) are first segmented. For each voxel in ILST/TM, the material fractions of ST and TM are derived using a two-material transition model, and the structural response to identify the folds submerged in the TM is calculated by the rut-enhancement function based on the eigenvalue signatures of the Hessian matrix. Then, the CT density value of each voxel in ILST/TM is reconstructed based on both the material fractions and structural responses. The material fractions remove the aliasing artifacts caused by a PV effect in ILST/TM effectively while the structural responses avoid the erroneous cleansing of the submerged folds caused by the PEH effect. Experimental results using ten clinical datasets demonstrated that the proposed method showed higher cleansing quality and better preservation of submerged folds than the previous method, which was validated by the higher mean density values and fold preservation rates for manually segmented fold regions.