COMPUTER-AIDED DIAGNOSIS FOR BREAST CANCER DETECTION

描述：研究人员建议测试的可行性， 开发了一个分布式计算机辅助诊断系统， 乳腺摄影病变，如其摘要进一步描述： “高分辨率胶片数字化仪的可用性和 新的数字探测器技术导致了CAD的发展 （计算机辅助诊断）工具，以协助放射科医生在早期 乳腺病变的检测和表征。 CAD工具已经 发现减少误诊，并吸引了大量的商业 兴趣 “拟议工作的目标是建立一种机制， 标准化、一致性和最先进的计算机辅助诊断 (CAD)在一家医院内处理所有数字乳腺X线照片 系统该系统的开发将：（a）使CAD处理成为可能 它独立于乳房X线摄影设备或计算机系统， 在系统内的各个乳房成像诊所使用，（B） 允许数字化乳房X线照片在卫星诊所进行处理， 与主要机构的程序完全相同，但没有 对大量本地计算资源的需求，以及（c）减少 向卫星诊所提供计算机辅助设计工具的费用。 “第一阶段将集中开发一个计算机辅助设计处理环境， 可以在任何计算平台上访问，确定如何分配 网络计算资源，以允许在资源有限的情况下进行CAD处理 情况下，并实施软件分发网络，以确保 所有诊所都可以使用相同的最新CAD处理工具。 “第一阶段将开发一个原理证明CAD交付系统， 被部署在密歇根大学放射学系， 一个卫星诊所 第二阶段将大大延长这一 在互联网环境中操作的概念（而不是简单的 本应用程序中的内联网）。 拟定商业应用： 该项目将开发一种低成本的解决方案， 用于计算机辅助诊断乳腺X线摄影病变的分布式系统。 潜在的商业应用可能包括CAD软件包 可以在中型医院和其他软件中部署， 能够更有效地分配计算资源的产品， 配置中

DESCRIPTION: The investigators propose to test the feasibility of developing a distributed system for computer aided diagnosis of mammographic lesions, as further described by their abstract: "The availability of high resolution film digitizers and the promise of new digital detector technologies have led to the development of CAD (computer-aided diagnostic) tools to assist the radiologist in early detection and characterization of breast lesions. CAD tools have been found to reduce misdiagnosis and have attracted significant commercial interest. "The goal of the proposed work is to develop a mechanism to provide standardized, consistent, and state-of-the-art computer-aided diagnostic (CAD) processing for all digital mammograms within a single hospital system. The development of this system will: (a) enable CAD processing that is independent of the mammographic units or computer systems employed at the individual breast imaging clinics within the system, (b) allow digitized mammograms to be worked up in satellite clinics using exactly the same procedures as those in the main institution but without the need for significant local computing resources, and (c) reduce the cost of providing CAD tools to satellite clinics. "Phase I will focus on developing an environment for CAD processing to be accessed on any computing platform, determining how to allocate network computing resources to allow CAD processing in resource-limited situations, and implementing a software distribution network to ensure all clinics access to the same most updated CAD processing tools. "Phase I will develop a proof-of-principle CAD delivery system that will be deployed at the University of Michigan Department of Radiology and one of its satellite clinics. Phase II will significantly extend this concept to operate in an Internet environment (as opposed to the simple intranet in this application). PROPOSED COMMERCIAL APPLICATION: This project will develop a low-cost solution for implementing a distributed system for computer aided diagnosis of mammographic lesions. Potential commercial applications may include a CAD software package that can be deployed in a medium-size hospital and other software by- products that enable more efficient computing resource distribution and allocation.