ECIQC
University of Oxford · GE HealthCareExtensible Clinical Imaging Quality Control tool. Collaboratively developed with the University of Oxford and GE HealthCare to automatically validate DICOM images used in multicentre medical research trials — catching acquisition errors early before they affect study results.
Automated DICOM Validation
Parses and validates DICOM metadata against configurable quality criteria, catching issues before they contaminate downstream analysis pipelines.
Extensible Plugin Architecture
New QC checks can be added as independent modules without touching core logic — making it easy to adapt to different imaging protocols and trial requirements.
Multi-modality Support
Handles a range of clinical imaging modalities including MRI, CT, and ultrasound, as used in Oxford-led multicentre research trials.
GE HealthCare Integration
Developed in collaboration with GE HealthCare engineers to meet the practical constraints of real-world clinical imaging workflows.
Context
In multicentre clinical trials, imaging data is collected across many hospitals with different scanners and operators. Inconsistencies in acquisition parameters — field strength, slice thickness, sequence type — can introduce systematic bias. ECIQC was built to catch these issues at ingestion time, before expensive analysis steps are run, ensuring only protocol-compliant images enter the research pipeline.