PERCEPTUAL MODEL FOR WORKSTATION DISPLAY OPTIMIZATION

描述(摘自申请者摘要)：数字化乳房X光检查是关键 提高乳腺癌检测和诊断水平的技术。当前 软拷贝显示技术是决定图像质量的最薄弱环节 在数字化乳房X光检查中，并正在抑制充分潜力的实现 在情态方面。这是一家合作企业，由加州大学 宾夕法尼亚州和萨诺夫研究实验室。它寻求将强大的 视觉显示模型(VDM)软件，在过去20年中在Sarnoff开发 多年来，对于数字化乳房X光摄影的工作站优化问题。这个 拟议工作的目标是开发一种可靠、成本效益和 预测和优化性能的灵敏方法 使用软拷贝显示器的乳房X光摄影者。这项调查的重点是 与微钙化相关的任务：检测(筛查乳房X光检查)和 歧视(诊断性乳房X光摄影)。申请者建议履行 对VDM进行了最先进的扩展，以支持正常 背景、变焦效果和液晶显示器特有的效果 (LCD)显示器。申请者将开发新的评估方法， 将使VDM能够应用于软拷贝优化问题 无需昂贵的接收器工作特性(ROC)研究。 VDM模型将使用在以下条件下获得的观察员性能数据进行测试 显示条件范围广泛。申请者将预测最优窗口 和各个图像的级别设置-从而支持后续的工作 它的实施。VDM模型的预测将通过以下方式进行测试 几项验证研究。具体地说，该模型将预测是否优于 性能可能来自替代技术LCD显示器与 最先进的CRT技术。模型的预测将得到检验。 一项临床ROC研究比较了CRT和LCD显示器在 微钙化检测和识别任务。还将生成的还有 常用工作站变量对图像影响的等值线图 在这两项任务中都有质量。这将使数字乳房X光检查工作站 更智能地使用。

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.