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首页> 外文期刊>Computerized Medical Imaging and Graphics: The Official Jounal of the Computerized Medical Imaging Society >A statistical method for evaluation quality of medical images: a case study in bit discarding and image compression.
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A statistical method for evaluation quality of medical images: a case study in bit discarding and image compression.

机译:一种用于评估医学图像质量的统计方法:以比特丢弃和图像压缩为例。

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摘要

Many studies have been performed on quality evaluation for subtle differences in medical images. However, only limited success has been achieved. In this paper, medical images were prior manipulated by denoising, lossy compression and filtering. The Moran statistics is then applied to extract spatial information of images and using Kolmogorov-Smirnov (KS) test to determine whether the manipulated and original images differ significantly. Results show that on average discarding 1-2 bits in T1 and CR images or 2-3 bits in T2 and body CT images are indistinguishable. This method is also applied to a reconstructed MR, body CT image and an electronic SMPTE (Society of Motion Picture and Television Engineer) phantom from lossy image compression software. Compression ratios of 16:1 for a MR image, 8-9:1 for a cropped body CT image, 7:1 and 5:1 for high- and low-resolution regions in electronic phantom is proved undifferentiated from original. The proposed method is useful for complementing the human visual system, to optimize the performance of image compression technique.
机译:对于医学图像中的细微差异,已经进行了许多质量评估研究。但是,仅取得了有限的成功。在本文中,医学图像是先经过降噪,有损压缩和滤波处理的。然后将Moran统计量应用于提取图像的空间信息,并使用Kolmogorov-Smirnov(KS)测试来确定所处理的图像和原始图像是否存在显着差异。结果表明,在T1和CR图像中平均丢弃1-2位或在T2和身体CT图像中平均丢弃2-3位是无法区分的。这种方法还适用于重建的MR,身体CT图像和来自有损图像压缩软件的电子SMPTE(电影和电视工程师协会)体模。 MR图像的压缩比为16:1,裁剪后的身体CT图像的压缩比为8-9:1,电子体模中的高分辨率和低分辨率区域的压缩比为7:1和5:1。所提出的方法对于补充人类视觉系统,优化图像压缩技术的性能很有用。

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