H.264/AVC对工业计算机断层成像中活塞数据压缩和无损评价的影响

Alexander Ditter, D. Fey, Tobias Schon, Maik Luxa, Roland Gruber
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引用次数: 1

摘要

应用视频编码来压缩基于计算机断层扫描(CT)的投影图像是非常有前途的,因为它可以更有效地传输和存储这种特定类型的数据。特别是使用“现成的”技术,如H.264/AVC编解码器,由于其在媒体行业的广泛使用,确保了长期的支持。我们提出了一种将这个标准的8位视频编解码器应用于16位投影数据集的方法。基于200个活塞的基准集,我们根据相对于原始输入数据的压缩率来评估其性能。此外,我们比较了重建体积中制造缺陷的检出率与最先进的无视频编码技术。为此,我们的基准不仅包含200个活塞的投影,而且还包含有关各自活塞制造缺陷的位置和尺寸的确切信息。研究表明,在一定阈值范围内,基于视频编码的投影数据的检测率与未压缩的检测率相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of H.264/AVC on compression and non-destructive evaluation of piston data in industrial Computed Tomography
The application of video encoding for the compression of Computed Tomography (CT) based projection images is very promising with respect to a more efficient transmission and storage of this particular type of data. Especially the use of “off-the-shelf” technologies, such as the H.264/AVC codec, ensures long term support due to its widespread use in the media industry. We present an approach for the application of this standard 8-bit video codec even for 16-bit projection data sets. Based on a benchmark set of 200 pistons, we evaluate its performance in terms of the compression rate relative to the original input data. Furthermore, we compare the detection rate of manufacturing defects in the reconstructed volumes to the state-of-the-art technique without video encoding. For this purpose our benchmark does not only contain the projections of the 200 pistons, but additionally the exact information about location and size of the manufacturing defects of the respective piston. We show that the detection rate based on the video encoded projection data is, up to a certain threshold, as good as without compression.
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