COMPUTER-ASSISTED CHEST RADIOGRAPH READER

这一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，在胸片中诊断间质性肺疾病时减少阅读器间和阅读器内的变异性。计算机辅助胸片阅读器系统(CARRS)应用了人类视觉心理物理学中公认的原理，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CARRS能够满足筛查、研究和开发以及临床需求。CARS将执行国际劳工组织(劳工组织)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，并用数百张胸部X光片验证高级版本。拟议的商业应用：今天，需要一种自动化的胸部X光诊断系统来筛选全球和美国各地的放射服务中心和医院每天收集的数千张图像。需要一个以计算机为基础的系统，大大消除或减少读者之间和读者内部的可变性，以改善对疾病的管理和早期诊断。CARR将向世界各地的大多数放射服务中心和医院以及整个美国进行营销和销售。

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.