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ImagineHive
Key Investigators
  
  - Davide Punzo (Freelancer, DNA HIVE, France)
 
  
  - Mauro DomÃnguez (Freelancer, DNA HIVE, Argentina)
 
  
  - Andras Lasso (Perk Lab, Queen's University, Canada)
 
  
  - Vahan Simonyan (DNA HIVE, USA)
 
  
  - Aram Petrosyan (DNA HIVE, USA)
 
  
  - Jeffrey W Milsom (Weill Cornell Medicine, USA)
 
  
  - Bradley B Pua (Weill Cornell Medicine, USA)
 
  
  - Art Sedrakyan (Weill Cornell Medicine, USA)
 
  
Presenter location: In-person
Project Description

ImagineHive is a data management and analytics platform for hospital environments consisting of:
  - Web frontend to navigate, filter and edit patients data.
 
  - HIVE server backend for storing and sharing data and run data analytics and processing workloads. HIVE is a massively parallel distributed computing environment where the distributed storage library is linked with computational.
 
  - SlicerHIVE, a Slicer-based app that shows up in the web browser and offers 3D image visualization and analysis:
    
      - Browse and retrieve data from hospital PACS.
 
      - Viewer and markup tools for enhanced teamwork.
 
      - Automated segmentation tools.
 
    
   
ImagineHive is currently used at the Weill Cornell Medicine/Presbyterian NY hospital (CI3: center for intelligent image guided interventions at New York Presbyterian Hospital, New York, NY, USA) for clinical pre-operation review and planning.
Objective
  - Present ImagineHive. Get feedback.
 
  - Learn about user needs.
 
  - Foster collaborations with potential users and similar development efforts.
 
Approach and Plan
  - Have a meetings/demos with people interested.
 
Progress and Next Steps
  - Update of Slicer’s DICOM browser to be more friendly for patient-oriented clinical workflows (visual appearance, better responsiveness - see details.
 
  - We had a meeting on Tuesday where we discussed the integration of customized 3DSlicer into web applications.
 
  - We presented a demonstration of ImageHIVE on Thursday and collected feedback.
 
Illustrations
HIVE front-end:
  
    
      | Patient selection | 
      Imaging | 
    
  
  
    
        | 
        | 
    
  
SlicerHIVE:
  
    
      | Workspace selector | 
      Visual DICOM browser | 
    
  
  
    
        | 
        | 
    
  
  
    
      | Segmentation tools | 
      Viewer | 
    
  
  
    
        | 
        | 
    
  
HIVE back-end:
   
source: Vahan et al. 2016
Background and References