S
Standardised
A defined workflow from ingestion to structured outputs.
MRI Data Processing Pipeline
From DICOM imaging data to analysis-ready outputs.
A cloud-based MRI data processing pipeline for secure ingestion, de-identification, quality control, automated processing and standardised analysis outputs.
Built on Amazon Web Services (AWS) and delivered by Medotrax with Ankercloud.
MRI processing workflow
01DICOMIngestion
02PrivacyDe-identification
03QualityControl
04ProcessSegmentation
05OutputAnalysis-ready
WorkflowConfigured
ProcessingContainerised
MonitoringOperational
Positioning
A reproducible MRI workflow for research and clinical innovation.
Standardise the path from incoming DICOM studies to quality-controlled, analysis-ready outputs across sites, studies and data volumes.
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Scalable
Cloud processing designed for variable workloads and multi-site programmes.
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Traceable
Operational monitoring and structured processing steps.
The challenge
MRI data processing is complex, fragmented and difficult to scale.
Heterogeneous inputs
Different scanners, sites and acquisition protocols.
Manual privacy workflows
De-identification can require time-consuming manual steps.
Inconsistent quality control
Quality issues may be detected late or handled differently.
Complex compute
Tools, dependencies and capacity require specialist maintenance.
Non-standard outputs
Results can be difficult to compare and aggregate.
Workflow
One workflow from ingestion to analysis-ready outputs.
01
DICOM ingestion
Secure intake and study organisation.
02
De-identification
Transformation according to the agreed workflow.
03
Quality control
Automated and reviewable checks.
04
Processing and segmentation
Containerised execution of configured workflows.
05
Analysis-ready outputs
Standardised derivatives and quality information.
Customer value
More consistent imaging operations, easier to scale.
Reproducible processing
Apply a defined workflow across studies and sites.
Earlier quality visibility
Bring quality checks before downstream analysis.
Faster setup
Reduce the need for separate local environments.
Standardised outputs
Generate structured derivatives for review and comparison.
Scalable compute
Use cloud resources for changing data volumes.
Operational oversight
Monitor jobs and technical events.
Architecture
Cloud architecture using Amazon Web Services (AWS).
Amazon Web Services support storage, event-driven workflow steps, batch processing, container management and operational monitoring. Medotrax remains the product owner; Ankercloud provides architecture, infrastructure and deployment expertise.
Medotrax owns the product, clinical workflow and imaging logic.
Ankercloud provides the AWS architecture, infrastructure and deployment approach.
Amazon S3Object storage for studies, intermediate data and outputs.
AWS LambdaWorkflow triggers and lightweight automation.
AWS BatchBatch processing for compute-intensive jobs.
Amazon Elastic Container RegistryVersion management for container images.
Amazon CloudWatchLogging, metrics and monitoring.
Medotrax
Product, clinical workflow and imaging logic
Ankercloud
AWS architecture, infrastructure and deployment
AWS Partner
Ankercloud partner credential supporting AWS architecture and deployment expertise.
Who it is for
Imaging-intensive healthcare and research organisations.
Hospitals and imaging centres
Standardise preparation and processing for research projects.
Research centres
Build reproducible single-site and multi-site workflows.
Research networks
Harmonise processing across participating sites.
Life sciences
Support imaging-intensive programmes and repeatable workflows.
Request a demonstration
Bring your MRI workflow from data intake to analysis-ready outputs.
Talk to Medotrax and Ankercloud about your programme, deployment requirements and processing workflow.