Thoracic CT images: effect of lossy image compression on diagnostic accuracy.

Thoracic CT images: effect of lossy image compression on diagnostic accuracy.
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胸部 CT 图像:有损图像压缩对诊断准确性的影响。

DOI:
10.1148/radiology.190.2.8284409
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发表时间:
1994
期刊:
影响因子:
19.7
通讯作者:
Gray,RM
Gray,RM
中科院分区:
医学1区
文献类型:
--
作者:
Cosman,PC;Davidson,HC;Bergin,CJ;Tseng,CW;Moses,LE;Riskin,EA;Olshen,RA;Gray,RM

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目的探讨有损图像(不可逆)压缩对胸部ct图像诊断准确性的影响。材料与方法对60例纵隔腺病合并肺结节患者的图像进行树状结构矢量量化,压缩到6个不同的水平。然后三名放射科医生使用原始和压缩图像进行诊断。与以往许多使用置信度排序和二元检测任务的基于接收者操作特征的研究不同,本研究检查了非二元检测任务的敏感性和预测值正分数。结果在5%的显著性水平下,在高达9:1的压缩率下,图像评估的诊断准确率差异无统计学意义。结论所提出的图像质量评估技术不依赖于特定的压缩算法,为评估任何有损图像处理技术的优点提供了一种有用的方法。
PURPOSETo evaluate the effects of lossy image (noninvertible) compression on diagnostic accuracy of thoracic computed tomographic images.MATERIALS AND METHODSSixty images from patients with mediastinal adenopathy and pulmonary nodules were compressed to six different levels with tree-structured vector quantization. Three radiologists then used the original and compressed images for diagnosis. Unlike many previous receiver operating characteristic-based studies that used confidence rankings and binary detection tasks, this study examined the sensitivity and predictive value positive scores from nonbinary detection tasks.RESULTSAt the 5% significance level, there was no statistically significant difference in diagnostic accuracy of image assessment at compression rates of up to 9:1.CONCLUSIONThe techniques presented for evaluation of image quality do not depend on the specific compression algorithm and provide a useful approach to evaluation of the benefits of any lossy image processing technique.