MRIPS

Clinical Center

Investigators

Linked publications & trials

Abstract

During the past year, MRIPS group of Rad&IS/CC has been increasing its data computation, data storage, and image visualization and analysis capabilities in support of the NIH ICDs. Currently, this section has three (3) major components: 1) Provide a Research PACS (e.g. Picture Archive and Communication System) for Rad&IS and its collaborators. This unique system not only permits the storage of DICOM images but also affiliated documents, spreadsheets, waveforms, and other non-image data in their native formats. Overall security is maintained vi the NIH Active Directory (AD) with AD-based groups provided ACL AccessControlList). We have also been collaborating with the CRIS and BTRIS groups within the Clinical Center to provide access to radiological images via those systems and to provide data anonymization capabilities for the fostering of collaborative projects. 2) Provide data computation and storage for the clinical and research components of Rad&IS in order to facilitate their clinical and research efforts in support of NIH ICDs. Deployed multiple additional Linux computer servers for use by members of RAD&IS. a) The data server subsystem consists of high-availability set of Metadata Controllers and RAID components providing over 1 PETAbyte of both disk and cloud-based storage with security provided by access control lists using NIH Active Directory system b) The data computation subsystem consists of numerous RedHat Linux 64-bit and Ubuntu multi-processor machines with high-speed connectivity to the Rad&IS storage subsystem and access security provided by NIH Active Directory system. This includes several systems with multiple GPUs (a SuperMicro system and a Nvidia GDX2 system) for facilitating Artificial Intelligence (AI)and Deep Learning studies. c) SAMBA (e.g. SMB)- and AppleFileProtocol (e.g. AFP)-based shared folder availability for PCs, Macs, and other machines within Rad&IS. Shared folders exist for general use (DATA), labs and workgroups (GROUPS) and also individual users (USERS). Security and access control is provided by NIH Active Directory system. 3) Maintain a versatile set of image processing applications to facilitate the analysis and visualization of medical images. This library includes, but is not necessarily limited to, a. MEDx from (Medical Numerics, Inc.) which was jointly developed by NIH and Medical Numerics, Inc. b. MATLAB (incl. numerous toolboxes) from Mathworks, Inc. c. AFNI d. RemotEYE e. MEDIS DICOMmessenger, QmassEnterprise including QmassMR, Qflow, QangioCT, .... f. MIM g. Osirix h. PMOD 4) Extended the ResearchPACS/VNA to the Clinical Center Disaster Recovery Site in Culpeper, VA 5) Deployed a new VMware ESXi system together with over a dozen Window Server 2019 Virtual Machines in support of new CardioVascular PACS