COMPUTER-ASSISTED CHEST RADIOGRAPH READER

本阶段的长期目标是提供一种方法，通过基于计算机的数字图像分析系统，在胸片诊断间质性肺疾病时，减少阅读器之间和阅读器内部的差异。计算机辅助胸片读取系统（CARRS）应用了公认的人类视觉心理物理学原理，结合了基于神经网络的图像分析，并将这些与图形用户界面集成在一起。数字图像处理和分类技术的进步使得CARRS在满足筛查、研究开发和临床需求方面成为可能。CARRS将执行国际劳工组织（ILO）的分类程序。该项目的具体目标是对第一阶段开发的CARRS原型进行增强，并通过数百张胸部x光片验证先进版本。建议的商业应用：今天，需要一种自动胸片诊断系统来筛选世界各地和整个美国的放射服务中心和医院每天收集的数千张图像。为了改善疾病的管理和早期诊断，需要一种基于计算机的系统来消除或显著减少阅读器之间和阅读器内部的变异。CARRS将在全球和美国的大多数放射服务中心和医院进行营销和销售

The long term objective of this phase is to provide a means for reducing inter- and intra- reader variability in diagnosing interstitial lung diseases in chest radiographs through a computer-based system for analyzing digital images. The Computer-assisted Chest Radiograph Reader System (CARRS) applies recognized principles in the psychophysics of human vision, incorporates neural network-based image analysis and integrates these with a graphical user interface. Advances in digital image processing, and classification techniques have made CARRS feasible for meeting screening, research arid development, and clinical requirements. CARRS will implement the International Labor Organization (ILO) classification procedures. The specific aims of this project are to implement enhancements to the CARRS prototype developed in Phase I and to validate the advanced version with several hundred chest radiographs. PROPOSED COMMERCIAL APPLICATION: Today, there exists a need for an automated chest radiograph diagnostic system to screen the thousands of images collected daily at radiological service centers and hospitals worldwide and throughout the United States. A computer-based system that eliminates or reduces inter- and intra-reader variability significantly is required to improve the management and early diagnosis of the disease. CARRS would be marketed and sold to most radiological services centers and hospitals worldwide and throughout the U.S.