Applying computer-assisted detection schemes to digitized mammograms after JPEG data compression: An assessment
Applying computer-assisted detection schemes to digitized mammograms after JPEG data compression: An assessment
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DOI：
10.1016/s1076-6332(00)80574-7
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发表时间：
2000-08-01
影响因子：
4.8
通讯作者：
Gur, D
中科院分区：
文献类型：
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作者：
Zheng, B;Sumkin, JH;Gur, D
理论基础和目标。作者的目的是评估联合图像专家组(JPEG)图像数据压缩对计算机辅助检测(CAD)方案的性能的影响，该方案用于检测数字化乳腺X光照片上的肿块和微钙化团。这项研究包括952张乳房X光照片，这些照片被数字化，并使用JPEG兼容的图像压缩方案进行压缩。作者实验室先前开发的、针对未压缩图像进行了优化的CAD方案被应用于五个级别的压缩后的重建图像。并与原始未压缩数字化图像的性能进行了比较。对于肿块检测，对于真阳性区域(P=0.25)或假阳性区域(P=0.40)，未压缩图像和压缩图像之间的性能没有显著差异。在所有六种模式中，该方案识别了80%的肿块，每幅图像的假阳性区域少于一个。对于微钙化团的检测，性能显著下降(P
Rationale and Objectives. The authors' purpose was to assess the effects of Joint Photographic Experts Group (JPEG) image data compression on the performance of computer-assisted detection (CAD) schemes for the detection of masses and microcalcification clusters on digitized mammograms.Materials and Methods. This study included 952 mammograms that were digitized and compressed with a JPEG-compatible image-compression scheme. A CAD scheme, previously developed in the authors' laboratory and optimized for noncompressed images, was applied to reconstructed images after compression at five levels. The performance was compared with that obtained with the original noncompressed digitized images.Results. For mass detection, there were no significant differences in performance between noncompressed and compressed images for true-positive regions (P =.25) or false-positive regions (P =.40). In all six modes the scheme identified 80% of masses with less than one false-positive region per image. For the detection of microcalcification clusters, there was significant performance degradation (P