首页> 外文会议>Syllabus, Advances in Breast Imaging >Advances in Digital Mammography: Image Processing, Digital Subtraction, and Dual-Energy Techniques
【24h】

Advances in Digital Mammography: Image Processing, Digital Subtraction, and Dual-Energy Techniques

机译:数字乳房X光检查的进步:图像处理,数字减法和双能技术

获取原文

摘要

Digital mammography was developed as a means to obtain more precise x-ray transmission information for the breast than was possible with screen-film technology (1). This has been accomplished by using detectors with wider dynamic range than that provided by film, by eliminating film granularity noise, and by providing a display system that is independent from image acquisition and in which image brightness and contrast are freely adjustable by the viewer. For the advantages of improved image acquisition to be realized fully, the information must be processed to correct for fixed pattern nonuniformities and other imperfections in the acquisition system and to suit the capabilities of the display system. Beyond the improvements in performance that might be expected from this optimization, the quantitative data provided by the digital mammography system may also be used in new ways, through novel applications that can extend the usefulness of this modality for detecting and characterizing lesions. In this chapter, we will discuss some of the image processing procedures that are applied to digital mammography data and describe one new application, iodine-enhanced subtraction digital mammography. Other chapters of this syllabus will cover additional applications that can be built on the platform of digital mammography, such as tomosynthesis and computer-aided detection.
机译:数字乳房X光检查是由筛选技术(1)获得乳房的更精确的X射线传输信息的方法。这是通过使用更宽的动态范围的探测器来完成的,通过消除膜粒度噪声,并且通过提供独立于图像采集的显示系统,并且通过观察者可以自由地调节图像亮度和对比度的显示系统。为了完全实现改进图像采集的优点,必须处理信息以校正采集系统中的固定模式不均匀和其他缺陷,并适合显示系统的能力。除了这种优化可能预期的性能的改进之外,数字乳腺X线摄影系统提供的定量数据也可以通过新的方式使用,这是可以扩展这种模态的有用性来检测和表征病变的效果。在本章中,我们将讨论应用于数字乳房X线摄影数据的一些图像处理过程,并描述了一个新的应用,碘增强的减法数字乳房X线摄影。此教学大纲的其他章节将涵盖额外的应用程序,可以在数字乳房X光检查平台上构建,例如Tomosynesk和计算机辅助检测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号