Research PACS & Medical Imaging Data Orchestration: GaelO Flow
Automate your imaging workflows, integrate AI pipelines, and unlock high-level data analytics in clinical research.
See GaelO Flow in action
DICOM query/retrieve, batch anonymization, DICOM auto-routing and AI pipeline integration: take a tour of the research PACS.
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Beyond Storage: A Research PACS for Real World Evidence and Retrospective Studies
“Your institution already generates thousands of DICOM studies every year. Your clinical routine helps to treat patients each day, but it can help to treat them even better tomorrow.”
We believe that new treatment options and better patient selection for treatment can be found in the data already existing in hospitals. With GaelO Flow we want to empower Real World Evidence studies and accelerate data analytics in clinical research, especially for retrospective studies.
GaelO Flow is a dedicated Research PACS meant to orchestrate your medical imaging data flow, build image datasets and give you the tools to extract meaningful analyses and quantifications.
Whether you operate from a single hospital or a multi-site research network, GaelO Flow gives you the infrastructure to:
- Retrieve thousands of studies from your production PACS — automatically, outside working hours
- Build secure, labeled datasets with granular role-based access for every research project
- Run AI inference pipelines on demand or automatically via the integrated auto-router
- Visualize, segment and extract radiomics features through the natively integrated DICOM viewer
A Research PACS to Orchestrate Medical Imaging Data
Retrieve, store, de-identify and reuse DICOM data at scale — GaelO Flow is the orchestrator of your research ecosystem.
Orchestrate Medical Imaging Data Through Your Institution
GaelO Flow acts as the orchestrator for your research ecosystem. The “Auto-Retrieve” feature allows you to search and retrieve large batches of DICOM studies from your clinical PACS. We integrate a set of tools to query, filter and select resources of interest, and GaelO Flow handles DICOM retrieval outside working hours so as not to overload your healthcare infrastructure.
GaelO Flow is itself a Research PACS able to store an unlimited amount of medical imaging data (even dozens of terabytes). Don’t worry about infrastructure, just focus on your research.
From GaelO Flow you can also curate and send DICOM to another endpoint: another DICOM modality, a filesystem, another GaelO Flow server or the GaelO platform.
GaelO Flow acts as a DICOM Extract-Transform-Load (ETL) pipeline, removing the work burden of medical imaging data management (but it can also do much more than that!).
A Research PACS to Store Your Datasets with Dedicated Secured Access
As a dedicated Research PACS, GaelO Flow lets you store all the image datasets of your research projects. It can handle very large medical imaging datasets and gives you massive performance in terms of data availability and speed.
In GaelO Flow, access is restricted by user authentication. Each user is assigned a role that can be customized to provide one or several GaelO Flow services.
You can give restricted read-only access to a dataset to one user, and full access to another. With GaelO Flow you control which data is available, and remove or adjust permissions in the blink of an eye.
Easy to Use and Efficient Deidentification of Medical Imaging Data
De-identification and anonymization are a necessary step for all research projects. We value patient privacy: we want patient data to accelerate research, but never to compromise patient identity.
GaelO Flow integrates a user-friendly de-identification and anonymization module that can handle large datasets. We carefully follow the NEMA guidelines for PHI data removal.
It is even possible to anonymize part of the image itself (faces…): with our tools, no more risk of compromising patient identity. GaelO Flow integrates everything you need to work with your medical imaging data in a safe place.
Full Interoperability for Medical Imaging Research Data
We built an intuitive and beautiful user interface to make research user-friendly, pleasant and accessible to all researchers.
However, if you have technical skills and want to use GaelO Flow services from a code script or other software, you can!
All GaelO Flow services are accessible through documented RESTful APIs.
GaelO Flow can be fully driven from custom code, a Python script or other software to orchestrate your medical imaging data and extend your research data management ecosystem to medical imaging.
Empowering Data Analytics in Clinical Research
Orchestrating DICOM data is a first step: once data is in hand, it is time to process its content. After creating a clean image dataset, you will want to extract data, features and biomarkers able to change future healthcare. GaelO Flow integrates many image processing tools to help physicians extract the metrics they need for their data analytics in clinical research.
Integrated Full Featured Viewer for Medical Imaging Analytics
GaelO Flow includes a professional-grade, web-based DICOM viewer designed for the high-intensity demands of data analytics in clinical research. Optimized for Real World Evidence, it lets physicians and researchers navigate through massive datasets with zero latency.
The viewer is fully integrated with our image processing pipelines: multi-modal fusions (PET/CT, PET/MRI), 3D reconstructions and advanced annotation tools (measurement, segmentation…) directly in the browser.
Whether you are validating a batch of imaging biomarkers or fine-tuning an AI segmentation by hand, our viewer provides the clinical-grade precision required for high-impact research.
AI Algorithms Integration
GaelO Flow also integrates execution pipelines to run our algorithms and facilitate image feature extraction, in particular for segmentation:
- PET imaging automated tumor segmentation for FDG, PSMA and DOTATOC tracers
- CT scanning precise anatomical segmentation of organs and tissues (anthropometry…)
Radiomics & Quantitative Feature Extraction
We built tools to facilitate radiomics extraction and leverage imaging biomarker development. The GaelO Flow viewer integrates segmentation tools with built-in AI features, so researchers can segment their images and extract the data their research needs.
As we want our results to be fully interoperable, GaelO Flow generates NIfTI files for source images and DICOM SEG for segmentation labelmaps.
With these standardized exports you can process your data even further to calculate advanced radiomics and descriptors for your research work (and we can help you build your pipeline!).
Customizable CRFs
In GaelO Flow you can create your own eCRF for your research topics, so data is collected in a standardized manner.
Build your own CRF in minutes and use it to standardize image feature extraction. With the end-to-end GaelO Flow solution, you build a clean image dataset and standardize the analysis of your images to get your research data in weeks, not years!
Collaborative Ecosystem for Retrospective Studies
With GaelO Flow we aim to build a collaborative ecosystem that facilitates every research project and retrospective study. We create or improve our tools every time a research project raises a challenge we can address.
Solving one challenge today brings new ideas to another researcher tomorrow. That’s our vision for research: an evolving ecosystem where every project performed in GaelO and GaelO Flow makes our research infrastructure better and accelerates data analytics in clinical research.
Supported Imaging Modalities
GaelO Flow supports all kinds of medical imaging modalities — from radiology to digital pathology.
Radiology
Radiography, Ultrasound, CT, MRI.
Nuclear Medicine
Planar scintigraphy, SPECT, PET.
Radiotherapy
RTSTRUCT, RTDOSE and RTPLAN are also supported.
Pathology
DICOMized Whole Slide Images are supported.
Photography and Video
Endoscopy, Dermatoscopy, Ophthalmology.
GaelO Flow Research PACS Features
A complete toolkit for medical imaging data orchestration in clinical research — from research-grade storage to AI inference, from batch anonymization to legacy CD burning when you need it.
Research PACS Storage
GaelO Flow is a research Picture Archiving and Communication System (Research PACS) that separates research data from clinical data. It stores large amounts of medical images and scales with your needs.
It provides powerful tools to manage your research data lifecycle and image processing features, and restricts data access to authorized users. In short, you keep full control of your imaging research data and work in a safe place.
Query / Retrieve Other DICOM Modalities
Like any PACS, GaelO Flow can query, retrieve or push images to remote DICOM modalities. It integrates seamlessly with your existing DICOM network in a few minutes.
Automatic Retrieval of DICOMs from Production PACS
Managing a data lifecycle requires automation. GaelO Flow integrates a pipeline to automatically retrieve thousands of medical imaging studies from your PACS, so researchers focus on data analysis instead of losing hundreds of hours on manual requests to build an imaging database.
DICOM Auto Router & Extract Transform Load (ETL)
As a true orchestrator, GaelO Flow integrates a DICOM auto-router with Extract Transform Load capabilities. Our event-based system lets you act automatically on your DICOM traffic: define your rules and let GaelO Flow drive data to its correct destination.
Batch Anonymization / Deidentification
Anonymization is a complex and critical task. At Pixilib we designed our anonymization tools to be:
- Simple all de-identification rules are packaged in simple profiles: one choice, everything works out of the box
- Secure no compromise on patient de-identification, carefully following the NEMA guideline for PHI
- Efficient anonymize dozens of DICOM studies in one single step
Batch Export & Data Transfer
Once your dataset is built, you may need to transfer it to a third-party tool or collaborator. Batch export is integrated: GaelO Flow is designed to orchestrate both incoming and outgoing data.
Role Based Access Control
Each user is assigned a role with one or several allowed GaelO Flow features, and a set of “labels” identifying medical imaging cohorts. Every user is identified individually: no more shared logins compromising data security. As an administrator, you see instantly who has access and update your policies in seconds.
Isolated Datasets of Medical Imaging
Each DICOM resource can be assigned to one or several “labels”, the tags that identify your imaging cohorts. Create clean, separated imaging datasets and give dedicated access to a restricted set of users, with full granularity on datasets and access policies.
Integrated Viewer for Research Data Analytics
Orchestrating DICOM data is not enough: as a researcher you will want to process your data and build something innovative with it. Our Pixilib DICOM viewer is natively integrated in GaelO Flow — a full DICOM workstation in your browser, not a preview or a basic viewer. Learn more about our DICOM viewer.
AI Algorithms Inference Pipeline
Using AI in research has never been easier: inference can be triggered on demand or automatically through our auto-router. We integrate Pixilib’s algorithms for automated segmentation of CT and PET/CT, and we are ready to expand our capabilities!
CD Burner Management
Yes… we haven’t buried old technologies yet. Some users still need them, so GaelO Flow manages Epson and Primera CD/DVD burners. We value freedom, so we implemented it.
On-Premise or Cloud Installation
GaelO Flow is a standalone platform that can be installed locally in your institution, ensuring isolation and full infrastructure management, or in the cloud, ensuring scalability and reducing the load on your IT team. We support both scenarios.
AI inference, made simple
Trigger Pixilib's AI algorithms on demand or automatically through the auto-router — automated segmentation for FDG, PSMA, DOTATOC tracers on PET, anatomical segmentation on CT, all with human-in-the-loop validation. Our pipelines are ready, and they're easy to extend.
Why Choose GaelO Flow Research PACS for Your Research?
From PACS integration to deployment freedom, GaelO Flow gives researchers everything they need to turn medical imaging data into meaningful clinical research outcomes.
Integration with existing infrastructure
Just set up GaelO Flow in your infrastructure: we connect to your clinical PACS and are ready to work with your medical imaging data.
Easiness of use
We made GaelO Flow user-friendly: research shouldn’t be restricted to technically aware physicians.
Give value to your Real World Evidence data
You have a lot of data: time to give it meaning and contribute to the research effort.
Extract meaningful data from medical imaging
Visualization, qualitative and quantitative interpretation or even advanced segmentation: our tools provide the most efficient sandbox for research.
Keep control of your data
Use GaelO Flow in your own local or cloud infrastructure. You keep full control of your data and infrastructure. Your choice, your freedom.
On-premise installation
Install GaelO Flow locally in your institution for maximum data sovereignty and full infrastructure control.
- Full isolation of imaging data within your network
- Direct integration with your production PACS
- Compliant with strict institutional security policies
- Predictable infrastructure costs for long-term projects
Cloud deployment
Run GaelO Flow on a managed cloud infrastructure for instant scalability and a lighter IT footprint.
- Elastic storage that scales with your imaging volumes
- No hardware to procure, install or maintain
- Always up to date with the latest GaelO Flow release
- Faster time-to-value for new research projects
A unified infrastructure for medical imaging research
From clinical trial centralization to research PACS and AI segmentation — three complementary products covering the full lifecycle of medical imaging in clinical research.
GaelO
Collection and centralized reading of clinical trials. From DICOM upload to Blind Independent Central Review with disease-specific criteria — GDPR/HIPAA compliant, fully auditable.
Discover GaelO
GaelO Flow
Research PACS for retrospective and Real World Evidence studies. Orchestrate medical imaging data: query/retrieve, batch de-identification, AI inference pipelines and seamless export.
Explore Flow features
AI Segmentation Algorithms
FDG, PSMA, DOTATOC. Automated PET segmentation to extract Total Metabolic Tumor Volume (TMTV) human-in-the-loop, 100% medically validated, regulatory-ready.
Explore AI algorithms