COMPRESSION OF MAMMOGRAPHIC IMAGES--AN ASSESSMENT

随着放射科朝着数字化管理图像的方向发展， 格式，图像压缩技术被提倡作为一种手段， 减轻了由于需要大量的数字数据而引起的问题， 代表每一个形象。 这个问题在乳房X线摄影中特别重要。 的价值 乳房X光检查在早期发现乳腺癌方面得到广泛认可。 同时，由于空间分辨率和对比敏感度 乳房X线照相术中的要求和其它图像质量考虑， 乳房X光检查在以下方面提出了独特的挑战和机遇： 图像压缩技术的应用。然而，鉴于 最近采用的通用图像压缩标准， 国际组织联合图像专家组 对于标准化（150），我们认为此时至关重要的是， 评估标准算法对压缩的适用性 乳房X光照片 在这个项目中，我们建议优化标准算法， 数字化乳房X线照片的压缩，然后测量 的诊断性能的压缩程度为这个优化 算法这项研究设计不仅能让我们衡量 在性能的配对比较，但也将确定趋势，如果他们 存在，并通过回归程序将允许我们评估 乳房X线摄影的“压缩/性能”曲线。

As radiology departments evolve toward managing images in a digital format, image compression techniques are being advocated as a means to alleviate problems caused by the large volume of digital data required to represent each image. This issue is of particular importance in mammography. The value of mammography in the early detection of breast cancer is widely recognized. At the same time, because of spatial resolution and contrast sensitivity requirements and other image quality considerations in mammography, mammograms present unique challenges and opportunities with respect to the application of image compression technology. Nevertheless, in view of the recent adoption of a general purpose image compression standard by the Joint Photographic Experts Group (JPEG) of the International Organization for Standardization (150), we believe that it is crucial at this time to assess the applicability of the standard algorithm to the compression of mammographic images. In this project, we are proposing to optimize the standard algorithm for the compression of digitized mammograms and then to measure the dependence of diagnostic performance on the degree of compression for this optimized algorithm. The study design will enable us not only to measure differences in performance by paired comparisons, but will also define trends, if they exist, and through regression procedures will permit us to evaluate the "compression/performance" curve for mammography.