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Open Health Imaging Foundation (OHIF)

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An extensible open source web imaging platform

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Alireza Sedghi, PhD, Lead Architect

SIIM 2023 Tech Tools Webinar | April 12th, 2023

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Last Year

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Introduction

  • Problem
    • Limitations of Desktop Imaging Applications
      • OS restrictions, software conflicts
    • Challenges in Hospital Environments
      • Remote access and update difficulties�
  • Open Health Imaging Foundation (OHIF) Viewer
    • Provides a framework for display and analysis of DICOM images
    • Vendor-neutral
    • Extensible with extensions and modes
    • Zero-footprint - runs entirely within a web browser with no add-ons
    • Available under MIT license, which is non-viral and commercially permissive

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OHIF Viewer

  • Single-page web application similar to any web application such as Gmail
    • https://v3-demo.ohif.org/
  • Supports all DICOM transfer syntaxes
  • Cloud-ready:

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    • DICOMWeb connectivity
    • OpenID Connect support for authentication

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Adoption - Academic

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  • Academic adoption (among over 700 open source projects on GitHub)
    • NCI Imaging Data Commons (IDC)
    • National Institute of Biomedical Imaging and Bioengineering (NIBIB)
    • NHLBI BioData Catalyst
    • NIAID Tuberculosis Portal / Depot
    • NCI Early Detection Research Network's archive service (LabCAS)
    • The Cancer Imaging Archive (TCIA)
    • Institute for Systems Biology Cancer Genomics Cloud
    • XNAT
    • Osirix Foundation's Kheops Image Sharing platform
    • DKFZ Joint Imaging Platform and d:cipher (deployed at 11 sites)
    • FUBerlin
    • QIPCM

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Adoption - Industry

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  • Industry adoption (widespread adoption of which we are only aware of a subset)
    • Google funded integration with Cloud Healthcare API
    • OHIF integration with AWS Healthlake
    • Microsoft DICOMweb Server includes OHIF by default
    • Siemens integration with teamplay platform
    • NVIDIA MONAI includes OHIF for web
    • Lots of startups
      • e.g. Yunu, Gradient Health, Pixilib�Viz.ai, New Lantern, FlyWheel,�Pliny, Detect-ED-X, Ascend,�VUNO, Infervision and more

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OHIF NVIDIA MONAI Integration

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Evolution

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  • Have gone through 3 versions
  • OHIF v3 supports advanced features such as:
    • Hanging Protocols
    • Volume Rendering
    • Different Segmentation visualizations (Labelmaps, and Contours)
    • Rendering of arbitrary Stack of images
    • Rendering of Color images
    • Multi-modality image fusion
    • DICOM Videos
    • ECG viewer
    • Pathology viewer

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OHIF Funding

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  • September 2015 - August 2020:
    • U24 to Dr. Gordon Harris at MGH from National Cancer Institute
  • August 2020 - January 2021
    • Support from MGH Radiology
    • Support from Precision Imaging Metrics (oncology clinical trial imaging informatics group at Mass General led by Gordon Harris, licensed out in 2022 to Yunu.io)
  • 2021 - 2023
    • Funding from Chan-Zuckerberg Initiative (CZI) and MGH Radiology
      • Supports community engagement, documentation, maintenance, etc
    • Funding from CZI for open source Diversity and Inclusion
      • Supports external collborations and community support
  • 2022 - 2024
    • Funding from CZI EOSS round 5
      • Feature development and hardening of the platform
      • Support community engagement

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OHIF Stats

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  • More than 2300 stars on Github
  • 705+ open-source projects have been built using OHIF
  • Ranked 1st out of 1264 open-source medical imaging projects on GitHub
  • 223 global code contributors, ranking 2nd out of all open-source medical imaging projects on GitHub
  • Over 13,000 download requests for OHIF

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Supported File Types

  • All DICOM Transfer Syntaxes
  • Various modalities
    • MR
    • CT
    • US
    • SM
    • ECG
    • NM
    • SEG
    • RTSTRUCT
    • Structured Report
    • Etc.

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Data Sources

OHIF can get connected to various DICOM servers

  • Google HealthCare API
  • Azure DICOM Server
  • AWS HealthLake
  • Various open source dicom servers
    • Orthanc, dcm4chee,
  • Hosted static files on any cloud servers�

NIFTI support has completed the development phase and will ship soon.

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Nifti support development is finished, ready to ship soon

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OHIF-v3: Workflow-centric Viewer

Often core functionalities are being used for a specific purpose (use case)

  • Tracking has measurements
  • AI use case needs measurements
  • Other use cases might need measurements

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OHIF-v3 introduces Modes to enable building such workflows by re-using the core functionalities from the extensions.

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Modes

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Configure the application for many workflows each accessible at a different route

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https://myViewer.com/tmtv?StudyInstanceUIDs=1.3.6….95438.5

https://myViewer.com/viewer?StudyInstanceUIDs=1.3.6….95438.5

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Measurement Tracking

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https://v3-demo.ohif.org/viewer?StudyInstanceUIDs=1.3.6.1.4.1.14519.5.2.1.7009.2403.871108593056125491804754960339

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TMTV

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https://v3-demo.ohif.org/tmtv?StudyInstanceUIDs=1.3.6.1.4.1.14519.5.2.1.7009.2403.871108593056125491804754960339

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Segmentation (example from FreeSurfer generated SEG)

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Updates since last SIIM

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New Mode Gallery

(https://ohif.org/modes/)

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Updates since last SIIM

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Performance Improvement

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Updates since last SIIM

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Enhanced Hanging �Protocol Engine

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Updates since last SIIM

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Advanced Context Menu

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Updates since last SIIM

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Double click to maximize

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Updates since last SIIM

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Volume Rendering

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Community

  • Thriving Community
    • Extensive user base
    • Active contributors

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https://v3-docs.ohif.org/

https://community.ohif.org/

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Weekly Office Hours

Currently 34 weekly office hours have been held on Zoom

  • Open and inclusive for everyone to join
  • Various members who participate every week
  • At least one or two new members each week
  • Notes can be found here

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Newsletter

Publishing quarterly newsletter to update the community on the project

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OHIF Roadmap

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  • Publicly available roadmap https://ohif.org/roadmap/�
  • Diverse funding sources and contributors �
  • List of not-yet funded projects to spur collaboration

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Future Directions

Example of GPU based GrowCut segmentation tool

  • Finalize the V3 release
  • 3D Segmentation mode
    • Rendering is done, need to enhance support for creation and export
    • GPU-accelerated segmentation tools
  • NIFTI support release
  • Integration with MONAI in OHIF v3
  • New DICOM standard such as HTJ2K

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Why should you use OHIF to build your application?

  • Lightweight client-only application, inexpensive to deploy
  • Easy to integrate with custom backends (e.g. connect to machine learning backend)
  • Standards-compliant
  • MIT license (non-viral and commercially permissive)
  • No need to reinvent the wheel

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Team

Chris Hafey

Co-founder

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Trinity Urban

Co-founder

Steve Pieper, Ph.D

Advisor

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Gordon J. Harris, Ph.D

Co-founder

Dan Rukas

UX/UI Design

Erik Ziegler, Ph.D

Co-founder

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James Hanks

Project Manager

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Rob Lewis

Co-founder

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Alireza Sedghi, Ph.D

Lead Architect

Hua Li, M.D.

Developer

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Thank you!

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visit ohif.org for more info