计算机放射图像增强

R. Gaborski, B. Jang
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引用次数: 2

摘要

提出了一种将存储荧光粉扫描仪的原始数据转换为诊断优化图像的图像增强算法。空间分割算法用于提取临床图像的身体部分,然后使用直方图分析来开发感兴趣区域的色调尺度。进一步的增强是通过不锐利的掩蔽得到的。这种方法降低了对非解剖区域的敏感性,并允许充分利用显示器的动态范围进行图像观看。这些算法已经在临床图像上进行了测试,结果由放射科医生进行了审查。目前,这些算法正在成功地应用于临床环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement for computed radiographic images
Proposes an image enhancement algorithm that converts raw data from a storage phosphor scanner into a diagnostically optimized image. The spatial segmentation algorithm is applied to extract the body part of a clinical image, and histogram analysis is then used to develop the tone-scale for the region of interest. Further enhancement is obtained by unsharp masking. This approach reduces the sensitivity to nonanatomical regions and allows full use of the display's dynamic range for image viewing. The algorithms have been tested on clinical images and the results were reviewed by radiologists. Currently, these algorithms are being successfully used in the clinical environment.<>
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