OPTIMIZATION AND STANDARDIZATION IN MEDICAL IMAGE DISPLA

医学图像显示的优化和标准化

• 批准号: 3177770
• 负责人: STEPHEN M PIZER
• 金额: $ 17.09万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-07-01 至 1988-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3177770
• 关键词: clinical biomedical equipment; computer graphics /printing; computer system design /evaluation; diagnosis quality /standard; electronic recording system; image enhancement; image processing; imaging /visualization /scanning; information display

Most medical images are presented in two dimensions by intensity on a film or electronic media such as video. The display process of transforming the recorded image into a viewable image on these media fails to transmit some or much of the useful information in the recorded image. We propose research to improve this information transfer in the 2D display process. To achieve this improvement, we will accomplish the following objectives: (1) Develop and prove a methodology for standardizing the display system so that, independent of the display device, changes in display driving intensity produce a predictable perceptual result, and one that optimizes the effect of contrast enhancement methods designed to maximally transmit diagnostic information. (2) Determine the display scale sensitivity that is optimal for presentation of medical images or classes of medical images, as a function of target sharpness and signal to noise ratio. (3) Study the effect of image structure on the contrast required for feature discrimination in medical images. This study will not only produce results necessary for achieving the other objectives, but it will also develop further understanding of the process of perception of medical images that can lead to other improvements in imaging, processing, and display.

大多数医学图像在胶片上是通过强度以二维形式呈现的 或者诸如视频的电子媒体。 转换的显示过程 将记录的图像转换成这些介质上的可视图像 或记录图像中的许多有用信息。 我们提出 研究以改善2D显示过程中的这种信息传递。 为了实现这一改进，我们将实现以下目标： (1)开发并证明一种标准化显示系统的方法， 独立于显示设备， 强度产生可预测感知结果， 设计成最大限度地透射 诊断信息。 (2)确定显示比例灵敏度， 医学图像或医学图像类别的呈现，作为功能 目标清晰度和信噪比。 (3)研究图像结构对所需对比度的影响， 医学图像的特征识别。 这项研究不仅会产生 这是实现其他目标所必需的，但也 进一步了解医学认知过程， 图像，可以导致成像，处理， 显示.