Data Management Solutions for Imaging Centers
Discover comprehensive solutions for managing data in imaging centers, including scanner integration, automated processing, and enhanced security measures. Improve efficiency, data quality, and compliance while reducing security risks and privacy concerns. Leverage advanced tools for machine learning and collaboration across multiple sites.
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Presentation Transcript
Columbia Implementation Overview MBBI Meeting October 18th, 2017
What Connect Content Compute Collaborate Imaging Modalities Metadata Gears & Pipelines Multi-lab, Multi-site Data Type Agnostic Indexing & Search Containers Data & Algorithm Sharing Open & Extensible Security Clusters Access control
How Data Connectors: Capture Data from Instrument Library of Device-specific Connectors Fast and Easy Data Transfer Open and Extensible Web App CLI App SDK: Python MATLAB, R Client Access Apps: Many Data Access Options Modern UI for Ease of use Powerful Programing Interfaces Securely Sharing and Collaborate CLI & SDK used to build Gears DICOM, Raw Spectroscopy Client Access Apps EEG Signal Time Series Physio & Stimulus Data Connectors Utility: D2NII, etc Compute Engine Pipeline and Ad- hoc Processing Containerized, Server-side Portable, Reproducible Any Programing Language Scalable Computing Extensible through Gears REDCap Analysis: FSL, FreeSurfer, etc Compute Engine Flywheel Core: File and Database Management Permission based access Encryption, Authentication, HIPAA Compliant Solution Indexing and Search Data-type Agnostic 3rd Party / Text QA: Noise, Artifact, fMRIQC, etc Custom Gears
Center Edition Data Management Solution for Imaging Centers FEATURES BENEFITS Scanner Integration Data De-identification Automated Data Conversion and QC processing Web App w/ Powerful Search Center-wide Data Archive Security / Access Controls HIPAA Compliance Improve User Experience Improve Data Quality Reduce Support Burden Leverage Data for Machine Learning etc.. Reduce Data Security & Privacy Risks
Lab Edition Complete Lab Automation Solution FEATURES BENEFITS Research Productivity Data & Algorithm Sharing Multi-site Collaboration Project Quality Lab Continuity Reproducibility Ease of Use Extensibility Center Edition Capabilities Plus Multi-Modal Data & Search Custom Metadata Session Templates / Validation Analysis Gears Automation / Pipelines Customization via SDKs & CLI Automated Documentation Scalable Cluster Computing Lab Continuity
Columbia Deployment Type: Flywheel Center Edition Onprem Local & Other Institutions 2 Siemens 3Ts Project Goals: Flywheel Collaboration & Sharing Data Archive Real-time Support Aggregate Sources of Data Acceleration of Research Labs 10+ Additional Magnets
Flywheel is Secure Limited to Columbia.edu logins Integrated with Columbia Central Authentication Service (CAS) Data is encrypted Working with Columbia on signing BAA Deployed on-prem behind Columbia firewall PHI Access Control Feature Detailed access logging Status quo (unstructured sharing) is not secure
Can Akgun Director of Business Development canakgun@flywheel.io Gunnar Schaefer Director of Technology gsfr@flywheel.io Imad Nijim Thank You! Chief Operating Officer imadnijim@flywheel.io
Flywheel Platform Flywheel Web Client Exploratory Development Viewer Plug-ins CLI Matlab SDK Python SDK R SDK Flywheel REST API Data Types Gears DICOM, NIfTI Format Conversion Data Connectors Compute Engine Data Management Gears & Pipelines Quality Control MR Raw, ISMRMRD Metadata Open & Extensible EEG, MEG, ECOG Analysis Containers Indexing & Search Imaging Modalities Physio, Stimulus Custom Gears Cluster Computing Security Automation CSV, Database Custom Pipelines
Built for Research Site PI, Lab, Virtual Team Groups Users & Permissions Projects Files Subjects Templates & Rules Metadata Sessions Collections Analyses Acquisitions
