An Open Source Digital Pathology System Supporting Multi-Touch Interaction

支持多点触控交互的开源数字病理系统

• 批准号: 8723822
• 负责人: Beverly Elizabeth Faulkner-Jones
• 金额: $ 74.67万
• 依托单位: KITWARE, INC.
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8723822
• 关键词: Academic Medical Centers; Address; Algorithms; Americas; Anatomy; Architecture; Arkansas; Atlases; Automatic Data Processing; Biopsy; Blood Tests; Charge; Client; Clinical Pathology; Collaborations; Collection; Communities; Computational Science; Computer software; Computers; Consensus; Consultations; Data; Data Set; Databases; Dermatology; Dermatopathology; Development; Diagnosis; Diagnostic; Differential Diagnosis; Distributed Databases; Education; Educational process of instructing; Endometrial; Fees; Foundations; Future; Generations; Genomics; Glass; Goals; Health; Healthcare; High Performance Computing; Image; Image Analysis; Imagery; Informatics; Ingestion; Institution; Intention; Internet; Journals; Knowledge; Lead; Light Microscope; Link; Maintenance; Medical; Medical Device; Medical Imaging; Medical Students; Medicine; Methods; New Mexico; Online Systems; Pathologist; Pathology; Patients; Performance; Phase; Physicians; Plug-in; Price; Process; Pythons; Radiology Specialty; Records; Research; Resolution; Retrieval; Running; Scanning; Secure; Services; Site; Slide; Social Network; Source; Support System; Surgical Pathology; System; Teaching Materials; Technology; Telepathology; Testing; Tissues; Touch sensation; Training; Training and Education; Trust; Universities; Validation; Washington; Work; base; computer framework; computerized tools; cost; data portal; data sharing; digital; distributed data; experience; handheld mobile device; image processing; improved; innovation; insight; medical schools; meetings; new technology; novel; open source; peer; prototype; public health relevance; tool; web page; web services; web site

DESCRIPTION (provided by applicant): This application addresses Innovations in Biomedical Computational Science and Technology Initiative PAR-09-220. Healthcare is moving towards fully digitized patient records. Surgical pathology represents a challenge in that high resolution imaging of tissue sections on glass slides produces datasets that are large compared to those of clinical pathology (e.g., blood tests) and radiology. Moreover the FDA recently announced its intention to regulate whole slide scanners as Class III medical devices, delaying implementation of digital pathology for primary diagnosis. Nevertheless digital pathology has enormous potential in other applications including education (teaching and training of physician residents and medical students), secondary consultation diagnosis and research. What is more there is a growing sense that application of digital methods can revolutionize diagnostics in anatomic pathology just as genomics technologies are predicted to revolutionize diagnostics in clinical pathology. Although the medical profession in general and anatomic pathologists in particular are currently seen to be slow in adapting the new technology, in the very near future pathology likely will take the lead in improving diagnosis through precision medicine (i.e., analytics of the large multi-part health datasets). Our Phase I efforts were focused on developing a high performance, open-source, client-server system for remote viewing of whole slide images. Our successful prototype system has been used weekly for teaching of Dermatopathology to residents in pathology and dermatology at Harvard University, and will be used at Washington University in St. Louis and at the University of New Mexico. For Phase II we are proposing to extend the client-server system to support peer-to-peer data sharing across a distributed database, and remote collaborative viewing and interaction. We will provide an open data repository for users to upload and share their images, and develop additional content on the 6,000 plus images already gathered in Phase I. Further we will promote innovation and extend our open, agile architecture to support plug-in support for analysis modules (e.g., to support CAD) and demonstrate this capability by using the open-source, medical image analysis toolkit ITK. Finally, through the use of a pilot Challenge Study we will begin to quantify early anecdotal evidence that the digital pathology system is faster and provides better results in certain applications than conventional approaches using physical slides. Our goal is to establish widespread use of the system (server software) and/or service (web portal for uploading and viewing images) to create a large pathology network. During the proposed two-year Phase II we will deploy the software and support the services to partnering institutions (there are six currently). In addition, the co-PI Dr. Faulkner-Jones will develop a curated slide image collection that will build on the current collection of trusted, high-demand content.

描述（由申请人提供）：本申请涉及生物医学计算科学和技术创新计划 PAR-09-220。医疗保健正在朝着完全数字化的患者记录方向发展。外科病理学面临的挑战是，载玻片上组织切片的高分辨率成像产生的数据集比临床病理学（例如血液检查）和放射学的数据集大。此外，FDA 最近宣布打算将全玻片扫描仪作为 III 类医疗设备进行监管，从而推迟了数字病理学在初级诊断中的实施。然而，数字病理学在其他应用中具有巨大潜力，包括教育（住院医师和医学生的教学和培训）、二次会诊诊断和研究。更重要的是，人们越来越意识到，数字方法的应用可以彻底改变解剖病理学的诊断，就像基因组技术预计将彻底改变临床病理学的诊断一样。尽管目前人们认为医学界，尤其是解剖病理学家在适应新技术方面进展缓慢，但在不久的将来，病理学可能会在通过精准医学（即分析 大型多部分健康数据集）。 我们第一阶段的工作重点是开发高性能、开源、客户端-服务器系统，用于远程查看整个幻灯片图像。我们成功的原型系统已每周用于哈佛大学病理学和皮肤病学住院医师的皮肤病理学教学，并将在圣路易斯华盛顿大学和新墨西哥大学使用。对于第二阶段，我们建议扩展客户端-服务器系统，以支持跨分布式数据库的点对点数据共享以及远程协作查看和交互。我们将提供一个开放的数据存储库，供用户上传和分享他们的图像，并在第一阶段已收集的 6,000 多张图像上开发更多内容。此外，我们将促进创新并扩展我们开放、敏捷的架构，以支持插件支持分析模块（例如，支持 CAD），并通过使用开源医学图像分析工具包 ITK 演示此功能。最后，通过使用试点挑战研究，我们将开始量化早期的轶事证据，表明数字病理学系统比使用物理载玻片的传统方法更快，并且在某些应用中提供更好的结果。 我们的目标是建立系统（服务器软件）和/或服务（用于上传和查看图像的门户网站）的广泛使用，以创建大型病理学网络。在拟议的两年第二阶段中，我们将部署软件并为合作机构（目前有六个）提供服务支持。此外，联合 PI 博士 Faulkner-Jones 将开发一个精选的幻灯片图像集 这将建立在当前值得信赖的高需求内容集合的基础上。