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Volume rendering in the presence of partial volume effects

机译:存在局部体积效果时的体积渲染

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摘要

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,部分体积效应(PVE)会导致体积再现中出现一些伪影。例如,在X射线CT中,类似软组织的假结构出现在骨头与空气之间以及骨头与脂肪之间的界面中。此外,就CT数而言,与软组织相同的皮肤使软组织的再现变得模糊。本文的目的是演示这些现象,并提供有效的解决方案,以显着改善再现效果。在这里,我们介绍了两种在X射线CT中使用PVE检测和分类体素的方法。描述了一种自动剥离皮肤的方法,以使PVE分辨的骨骼和软组织的显露呈现更多细节。在第一种方法中,通过考虑相邻v的体素的强度来估计每个体素v中每种组织材料的比例。第二种方法基于以下假设(IEEE PAMI,第23卷,第689-706页) (2001年):在任何获取的图像中,不确定性最高的体素出现在对象边界附近。皮肤的去除通过数学形态来实现。在将方法应用于多个患者CT数据集之前和之后,已经创建了体积再现。通过添加不同程度的噪声和模糊,进行了涉及不同水平PVE的数学幻象实验。利用数学模型和临床CT数据进行定量评估,其中操作员在分割的图像中用PVE仔细掩盖了体素。所有结果均表明,采用所提出的方法后,骨骼和软组织的展示质量得以提高。定量评估表明,两种方法均去除了98%以上带有PVE的体素,第二种方法的性能略优于第一种。此外,皮肤脱皮生动地揭示了软组织结构中的精细细节。

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