体绘制
投影(关系代数)
人工智能
计算机视觉
计算机科学
可视化
降噪
噪音(视频)
最大强度投影
平面的
图像噪声
计算机断层摄影术
渲染(计算机图形)
平面投影图
断层摄影术
图像(数学)
计算机图形学(图像)
光学
物理
算法
正投影
医学
放射科
血管造影
标识
DOI:10.1088/0031-9155/48/3/305
摘要
The introduction of multi-slice helical computed tomography has fundamentally changed the way radiologists view CT images. Increasing numbers of clinical cases are examined with advanced visualization tools, such as maximum intensity projection, multi-planar reformation and volume rendering. It has been discovered that new image artefacts, which do not appear in the traditional two-dimensional reconstructed images, become visible in images generated by these new tools. In this paper, we investigate the causes of one such artefact, the Venetian blind artefact, which appears as bright-and-dark bands superimposed on three-dimensional images. We demonstrate that such an artefact is caused by the periodical noise variation in the reconstructed images. The image noise variation is, in turn, caused by the interaction of the noise inhomogeneity in the projections with the helical weights. An analytical formula is developed that accurately predicts the presence of such artefacts. Based on our analysis, several approaches are proposed for the artefact reduction or elimination.
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