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Volume rendering in the presence of partial volume effects

机译:在存在部分卷效应的情况下渲染

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In tomographic images, partial volume effects (PVE) cause several artifacts in volume renditions. In x-ray CT, for example, soft-tissue-like pseudo structures appear in bone-to-air and bone-to-fat interfaces. Further, skin, which is identical to soft tissue in terms of CT number, obscures the rendition of the latter. The purpose of this paper is to demonstrate these phenomena and to provide effective solutions that yield significantly improved renditions. Here, we introduce two methods that detect and classify voxels with PVE in x-ray CT. A method is described to automatically peel skin so that PVE-resolved renditions of bone and soft tissue reveal considerably more details. In the first method, the fraction of each tissue material in each voxel v is estimated by taking into account the intensities of the voxels neighboring v. The second method is based on the following postulate (IEEE PAMI, vol. 23 pp. 689- 706, 2001): In any acquired image, voxels with the highest uncertainty occur in the vicinity of object boundaries. The removal of skin is achieved by means of mathematical morphology. Volume renditions have been created before and after applying the methods for several patient CT datasets. A mathematical phantom experiment involving different levels of PVE has been conducted by adding different degrees of noise and blurring. A quantitative evaluation is done utilizing the mathematical phantom and clinical CT data wherein an operator carefully masked out voxels with PVE in the segmented images. All results have demonstrated the enhanced quality of display of bone and soft tissue after applying the proposed methods. The quantitative evaluations indicate that more than 98% of the voxels with PVE are removed by the two methods and the second method performs slightly better than the first. Further, skin peeling vividly reveals fine details in the soft tissue structures.
机译:在断层图像中,部分卷效果(PVE)导致卷中的几种伪像。在X射线CT中,例如,软组织样伪结构出现在骨对空气和骨对脂肪界面中。此外,皮肤与CT数相同的软组织,模糊了后者的再现。本文的目的是展示这些现象,并提供有效的解决方案,即产量显着改善的再现。在这里,我们介绍了两种方法,可在X射线CT中使用PVE检测和分类体素。描述了一种方法以自动剥离皮肤,使得骨骼和软组织的PVE分辨型渲染揭示了更多细节。在第一种方法中,通过考虑voxel v的强度,估计每个体素V中的每个组织材料的分数估计。第二种方法基于以下假设(IEEE PAMI,Vol.23 PP。689-706 ,2001):在任何获得的图像中,具有最高不确定性的体素发生在对象边界附近。通过数学形态实现皮肤去除。在应用了几个患者CT数据集的方法之前和之后,已经创建了卷再现。通过添加不同程度的噪音和模糊,通过了涉及不同水平的PVE的数学幻影实验。利用数学幻影和临床CT数据进行定量评估,其中操作员用分段图像中的PVE仔细掩盖输出体素。所有结果都证明了应用所提出的方法后,骨骼和软组织的展示质量增强。定量评估表明,通过两种方法除去超过98%的具有PVE的体素,第二种方法比第一方法略好。此外,皮肤剥离生动地揭示了软组织结构中的细细节。

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