Biomedical Imaging and Visualization

生物医学成像和可视化

• 批准号: 8746524
• 负责人: KENNETH M KEMPNER
• 金额: $ 78.06万
• 依托单位: CENTER FOR INFORMATION TECHNOLOGY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8746524
• 关键词: Algorithms; Area; Assimilations; Axon; Biomedical Research; Biomimetics; Biophysics; Boxing; Brain; Brain imaging; Caliber; Case Manager; Case Study; Chest; Clinic; Clinical; Clinical Data; Collaborations; Computer software; Consultations; Critical Care; Data; Development; Diagnosis; Diffusion Magnetic Resonance Imaging; Disease; Doctor of Philosophy; Electronics; Environment; Estimation Techniques; Feedback; Film; Galaxy; Generations; Genomics; Goals; Grant; Hand; Health; Hospitals; Image; Image Analysis; Imagery; Information Systems; Information Technology; Institutes; Intensive Care Units; International; Joints; Journals; Kidney; Language; Lesion; Libraries; Magnetic Resonance Imaging; Malignant neoplasm of prostate; Measures; Medical; Medical Imaging; Medicine; Methods; Morphologic artifacts; Motion; Multimedia; NCI Center for Cancer Research; National Cancer Institute; National Human Genome Research Institute; National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; Online Systems; Organ; Patients; Performance; Physiologic pulse; Physiological; Positioning Attribute; Process; PubMed; Radiation Oncology; Research; Research Personnel; Resolution; Sampling; Schedule; Secure; Security; Services; Site; Speed; System; Systems Development; Tablets; Tactile; Techniques; Technology; Time; Tissues; Touch sensation; United States National Institutes of Health; Universities; Work; bioimaging; computerized data processing; design; haptics; image processing; image visualization; improved; kidney disease education; medical information system; member; neurophysiology; new technology; novel; programs; prototype; repository; respiratory; software development; speech recognition; web site; white matter; wireless network

Development of the TELESYNERGY(R) Medical Consultation WorkStation System (MCWS) was initiated in the mid 1990s, and it was first deployed in the Center for Information Technology (CIT) and NCI Radiation Oncology Branch (ROB) environments on the NIH campus in 1995 and 1997, respectively. The MCWS allows real-time multimedia teleconferencing between distributed sites, and the systems include high-resolution electronic view boxes for the display of CT, MRI or chest films. The TELESYNERGY(R) System quickly became a major IT component of several national and international National Cancer Institute (NCI) programs, through NCI/CIT collaborations. A portable, ruggedized version of the TELESYNERGY(R) environment was also developed, which includes a Very Small Aperture Terminal (VSAT) Satellite Antenna System. During FY13, five full TELESYNERGY(R) Systems were operational worldwide, and were partially supported by CIT staff. During FY13, BIVS continued to support the small Telenephrology System that provides Andrew Narva, MD, Director, National Kidney Disease Education Program, NIDDK, with the ability to conduct regularly scheduled clinics with his previous renal patients at the Zuni PHS Hospital in Zuni, AZ. In FY13, efforts continued on the development of signal processing algorithms in support of our long-term MRI Diffusion Tensor Imaging (DTI) Research collaboration with Peter J. Basser, PhD, NIH Senior Investigator and Chief, Section on Tissue Biophysics and Biomimetics (STBB), NICHD. Activity has continued on development of novel techniques for reduction of image distortion and motion artifacts during image acquisition in MRI studies. Efforts included the development of new techniques for the estimation of axon diameter distribution (ADD) within white matter of the brain, which is a crucial neurophysiological parameter that correlates with conduction velocity. A new activity involves the joint collaboration between NICHD/STBB and Peter L. Choyke, MD, Senior Investigator and Director, Medical Imaging Program, Center for Cancer Research, NCI. Preliminary work has begun on studies related to the possibility of the use of MRI to detect prostate cancer, and the possibility of the development of a measure of its aggressiveness. In FY13, development has slowly continued on a novel research-oriented Stereo Medical Image Display System, which is being developed in the JAVA Language, and will be compatible with the Medical Image Processing Analysis and Visualization (MIPAV) Application designed by the Biomedical Imaging Research Services Section (BIRSS), DCB, CIT. This Stereo Medical Image Display System, which will be controlled by hand-motion, is being developed to support brain imaging as the initial target application area. Powered by a high-performance workstation containing dual quad-core processors and an integrated high performance graphics processing system, this development platform will be controlled by a 3D position-sensing haptics glove with internal tactile feedback, and will have a speech recognition capability. The implementation of software stereo image generation was demonstrated, utilizing a group of algorithms developed at Johns Hopkins University, which are organized as plug-ins to the MIPAV image processing environment. Computational latency, during stereo brain image generation, will be greatly improved during FY 2014 by the incorporation of the new high-speed graphics-rendering engine that will be added to the system. During FY10, BIVS was asked by William A. Gahl, MD, PhD, Chief of the NHGRI Undiagnosed Diseases Program (UDP), and Murat Sincan, MD, Research Fellow, NHGRI, to create a secure portal whereby the UDP could provide outside consultants remote secure login to NIH to help as outside experts in the diagnosis of undiagnosed diseases. Consultants are NIH staff members, from other Institutes, and also outside subject matter experts. In FY11, BIVS demonstrated the operational version of the UDP Portal website, which indicated how a sample case might appear to an internal NIH case manager or an outside reviewer, using sample de-identified patient data that was provided by NHGRI. Ultimately, this system will provide an on-line repository of de-identified case studies for UDP patients. The UDP is able to grant secure, authenticated access to outside consultants through the NIH Federated Login Service. During FY12 integration was completed for a 12-Terabyte Disc Array, and for the Galaxy Web-based Platform that was developed by Penn State University and supports data-intensive biomedical research. These two new components allow the UDP Portal to easily incorporate genomic data into the patient case presentation. During FY13, BIVS continued work on a collaborative project with Henry Masur, MD, Chief, Critical Care Medicine Department (CCMD), CC, and Naomi P. O'Grady, MD, Staff Clinician, CCMD, CC, aimed at the development of novel methods for the graphical presentation of the status of patients within a critical care environment. The prototype system, departs from the electronic spreadsheet display format that is the goal standard for patient status display in the modern critical care unit, and is being implemented on the iPad platform to capitalize upon multi-touch display technology and swipe screen control capability. Software development for the mobile Intensive Care Unit (mICU) Clinical Information System (CIS) Project began in January 2012. The associated Data Gateway became operational in FY13, which may eventually allow patient data from the Clinical Center (CC) Medical Information System (MIS) to be channeled to the iPad, via the buildings wireless network, in an encrypted format. For added security, the mICU CIS iPads will eventually utilize two-factor authentication during login. Prototype iPad tablets were released to the CCMD staff in May 2013. The mICU CIS Application provides a demonstration of the Clinical Data Viewer Function, as seen on the CC MIS, and the Clinical Graphics Viewer Function that provides novel Circle Diagram displays of physiologic parameters, respiratory parameters, clinical lab values, etc. In addition, the mICU CIS Application provides a direct connection to the NIH Library's Journal Download website and NLM's PubMed website; Bookcase Function for downloaded .pdf files; Medical Camera Function; Medical Photo Album Function; Direct access to the UpToDate(R) website; and Direct Access to the Micromedex (R) website. Eventually, the mICU iPad Tablets will also have a Signoff Function that is geared towards patient handoff during CCU staff shift changes.

TELESYNERGY(R) 医疗咨询工作站系统 (MCWS) 的开发始于 20 世纪 90 年代中期，并分别于 1995 年和 1997 年首次部署在 NIH 园区的信息技术中心 (CIT) 和 NCI 放射肿瘤科 (ROB) 环境中。 MCWS 允许在分布式站点之间进行实时多媒体电话会议，该系统包括用于显示 CT、MRI 或胸片的高分辨率电子观察盒。通过 NCI/CIT 合作，TELESYNERGY(R) 系统迅速成为多个国家和国际国家癌症研究所 (NCI) 项目的主要 IT 组成部分。还开发了 TELESYNERGY(R) 环境的便携式加固版本，其中包括甚小孔径终端 (VSAT) 卫星天线系统。 2013 财年，五个完整的 TELESYNERGY(R) 系统在全球范围内运行，并得到了 CIT 员工的部分支持。 2013 财年，BIVS 继续支持小型远程肾病学系统，该系统为 NIDDK 国家肾脏病教育计划主任 Andrew Narva 医学博士提供了在亚利桑那州祖尼 PHS 医院为其以前的肾病患者进行定期门诊的能力。 2013 财年，我们继续努力开发信号处理算法，以支持我们与 NIH 高级研究员兼 NICHD 组织生物物理和仿生学 (STBB) 科主任 Peter J. Basser 博士的长期 MRI 扩散张量成像 (DTI) 研究合作。新技术的开发活动仍在继续，以减少 MRI 研究中图像采集过程中的图像失真和运动伪影。努力包括开发估计大脑白质内轴突直径分布（ADD）的新技术，这是与传导速度相关的重要神经生理学参数。 NICHD/STBB 和 NCI 癌症研究中心医学影像项目高级研究员兼主任 Peter L. Choyke 医学博士共同合作开展了一项新活动。与使用 MRI 检测前列腺癌的可能性以及开发衡量其侵袭性的方法的可能性相关的初步研究工作已经开始。 2013 财年，新型研究型立体医学图像显示系统的开发工作正在缓慢进行，该系统正在 JAVA 语言中开发，并将与 DCB、CIT 生物医学成像研究服务部门 (BIRSS) 设计的医学图像处理分析和可视化 (MIPAV) 应用程序兼容。 这种通过手部运动控制的立体医学图像显示系统正在开发中，以支持脑成像作为最初的目标应用领域。该开发平台由包含双四核处理器和集成高性能图形处理系统的高性能工作站提供支持，将由具有内部触觉反馈的 3D 位置传感触觉手套进行控制，并具有语音识别功能。 使用约翰·霍普金斯大学开发的一组算法演示了软件立体图像生成的实现，这些算法被组织为 MIPAV 图像处理环境的插件。立体大脑图像生成过程中的计算延迟将在 2014 财年通过纳入将添加到系统中的新高速图形渲染引擎而得到极大改善。 2010 财年期间，NHGRI 未确诊疾病项目 (UDP) 负责人 William A. Gahl 医学博士和 NHGRI 研究员 Murat Sincan 医学博士要求 BIVS 创建一个安全门户，UDP 可以通过该门户为外部顾问提供远程安全登录到 NIH，以帮助外部专家诊断未确诊疾病。顾问是来自其他研究所的 NIH 工作人员以及外部主题专家。 2011 财年，BIVS 演示了 UDP 门户网站的操作版本，该版本使用 NHGRI 提供的样本去识别化患者数据，指示样本病例如何呈现给 NIH 内部病例经理或外部审查员。最终，该系统将为 UDP 患者提供未识别身份的案例研究的在线存储库。 UDP 能够通过 NIH 联合登录服务向外部顾问授予安全、经过身份验证的访问权限。 2012 财年期间，完成了 12 TB 光盘阵列和由宾夕法尼亚州立大学开发并支持数据密集型生物医学研究的 Galaxy 基于 Web 的平台的集成。这两个新组件使 UDP Portal 能够轻松地将基因组数据合并到患者病例演示中。 2013 财年，BIVS 继续与 CC 重症监护医学部 (CCMD) 主任 Henry Masur 医学博士和 CCMD 临床医生 Naomi P. O'Grady 医学博士开展合作项目，旨在开发以图形方式呈现重症监护环境中患者状态的新方法。该原型系统偏离了现代重症监护病房患者状态显示目标标准的电子表格显示格式，并在 iPad 平台上实施，以利用多点触控显示技术和滑动屏幕控制功能。 移动重症监护室 (mICU) 临床信息系统 (CIS) 项目的软件开发于 2012 年 1 月开始。相关数据网关于 2013 财年投入运行，最终可能允许临床中心 (CC) 医疗信息系统 (MIS) 的患者数据通过建筑物无线网络以加密格式传输到 iPad。为了提高安全性，mICU CIS iPad 最终将在登录过程中使用双因素身份验证。 原型 iPad 平板电脑于 2013 年 5 月向 CCMD 工作人员发布。mICU CIS 应用程序演示了临床数据查看器功能（如 CC MIS 上所示）以及临床图形查看器功能，该功能提供了生理参数、呼吸参数、临床实验室值等的新型圆形图显示。 此外，mICU CIS 应用程序还提供与 NIH 图书馆的期刊下载网站和 NLM 的 PubMed 网站的直接连接；下载 .pdf 文件的书柜功能；医疗相机功能；医学相册功能；直接访问 UpToDate(R) 网站；以及直接访问 Micromedex (R) 网站。最终，mICU iPad 平板电脑还将具有签核功能，适用于 CCU 工作人员换班期间的患者交接。