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倡议PAR-09-220。医疗保健正在向完全数字化的患者记录迈进。外科病理学是一个挑战，因为玻璃片上的组织切片的高分辨率成像产生的数据集比临床病理学(例如血液测试)和放射学的数据集要大。此外，FDA最近宣布，它打算将整个载玻片扫描仪监管为III类医疗设备，推迟实施用于初步诊断的数字病理学。然而，数字病理学在其他应用方面具有巨大的潜力，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，越来越多的人意识到，数字方法的应用可以彻底改变解剖病理学中的诊断学，就像基因组学技术预计将彻底改变临床病理学中的诊断学一样。尽管医学专业，特别是解剖病理学家目前在适应这项新技术方面进展缓慢，但在不久的将来，病理学很可能会带头通过精确医学(即，对 大型多部分健康数据集)。我们第一阶段的工作重点是开发一个高性能、开源的客户端-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在哈佛大学每周向住院医生教授病理学和皮肤病学，并将在圣路易斯的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。我们将为用户提供一个开放的数据存储库，供用户上传和共享他们的图像，并在第一阶段已经收集的6,000多张图像上开发额外的内容。此外，我们将促进创新，扩展我们的开放、灵活的架构，以支持分析模块的插件支持(例如，支持CAD)，并通过使用开源的医学图像分析工具包ITK来演示这一功能。最后，通过使用试验性挑战研究，我们将开始量化早期轶事证据，即数字病理系统比使用物理幻灯片的传统方法更快，并在某些应用中提供更好的结果。我们的目标是建立该系统(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，以创建一个大型病理网络。在拟议的为期两年的第二阶段期间，我们将向合作机构(目前有六家)部署软件和支持服务。此外，联合PI的福克纳-琼斯博士将开发一个经过策划的幻灯片图像集 这将建立在目前值得信赖的高需求内容集合的基础上。