PERCEPTUAL MODEL FOR WORKSTATION DISPLAY OPTIMIZATION

描述（改编自申请人的摘要）：数字乳房X线摄影是一个关键 改善乳腺癌检测和诊断的技术。电流 软拷贝显示技术是决定图像质量的最薄弱环节 在数字乳腺X射线摄影中， 的方式。这是一个合作项目， 宾夕法尼亚州和Sarnoff研究实验室。它寻求运用强大的 视觉显示模型（VDM）软件，在过去20年中由Sarnoff开发 多年来，数字乳腺X射线摄影工作站优化的问题。的 拟议工作的目标是制定一个可靠的，具有成本效益和 用于预测和优化性能的敏感方法 使用软拷贝显示器的乳房摄影师。这次调查的重点是 微钙化相关任务：检测（筛查性乳腺X线摄影）和 诊断性乳房X光检查（diagnostic mammography）申请人拟履行 最先进的VDM扩展，以允许正常 背景技术、变焦效果和液晶显示器特有的效果 (LCD)监测器申请人将开发新的评估方法， 将允许将VDM应用于软拷贝优化问题 而不需要昂贵的受试者工作特性（ROC）研究。 VDM模型将使用在 广泛的显示条件。申请人将预测最佳窗口 和各个图像的级别设置-从而使后续工作 其实施。VDM模型的预测将通过 几项验证研究。具体而言，该模型将预测是否具有上级 性能可以从替代技术液晶显示器与 最先进的CRT技术该模型的预测将得到检验 一项临床ROC研究比较了CRT和LCD显示器， 微钙化检测和鉴别任务。还将生成 常见工作站变量对图像影响的等值线图 两项任务的质量。这将使数字乳腺X射线摄影工作站， 更聪明地使用。

DESCRIPTION (Adapted from Applicant's Abstract): Digital mammography is a key technology for improving breast cancer detection and diagnosis. Current soft-copy display technology is the weakest link in determining image quality in digital mammography, and is inhibiting the realization of the full potential of the modality. This is a collaborative venture between the University of Pennsylvania and Sarnoff Research Laboratory. It seeks to apply the powerful Visual Display Model (VDM) software, developed at Sarnoff over the last 20 years, to the problem of workstation optimization for digital mammography. The goal of the proposed work is to develop a reliable, cost-effective and sensitive methodology for predicting and optimizing the performance of mammographers using soft-copy displays. This investigation is focused on microcalcification related tasks: detection (screening mammography) and discrimination (diagnostic mammography). The applicants propose to perform state-of-the-art extensions of the VDM to allow for masking effects of normal background, the effects of zoom, and effects peculiar to Liquid Crystal Display (LCD) monitors. The applicants will develop novel evaluation methodology, which will enable application of the VDM to the soft-copy optimization problem without the need for expensive Receiver Operating Characteristic (ROC) studies. The VDM model will be tested with observer performance data acquired under a wide range of display conditions. The applicants will predict optimal window and level settings for individual images - thereby enabling subsequent work on its implementation. The predictions of the VDM model will be tested with several validation studies. Specifically, the model will predict if superior performance can result from an alternative technology LCD display vs. state-of-the-art CRT technology. The predictions of the model will be tested with a clinical ROC study comparing a CRT and a LCD monitor in microcalcification detection and discrimination tasks. Also to be generated are iso-contour plots of the effects of common workstation variables on image quality in both tasks. This will allow digital mammography workstations to be more intelligently used.