Cardiac CT research software

HAGRad

Open-Source Framework for Advanced Cardiac CT Research

HAGRad is a local DICOM research environment for cardiac CT review, multi-planar reformation, quantitative measurement, coronary CTA image-quality analysis, EAT quantification, and workflow prototyping.

Research Use Only. HAGRad is not intended for clinical diagnosis, treatment decisions, or patient care.

Modules

Focused workflows for cardiovascular imaging research

HAGRad keeps the core viewer familiar while separating specialized measurements into modules that can evolve independently.

Core viewer

HAGRad Viewer

Cardiac CT DICOM review with window/level, zoom, pan, measurements, MPR, profile analysis, and ZIP exports.

CCTA IQ

CCTA Image Quality

Objective coronary CTA ROI measurements, subjective reader scoring, editable protocols, SNR/CNR metrics, and structured export.

EAT

Epicardial Adipose Tissue

Pericardial contouring, HU thresholding, multi-reconstruction comparison, and measurement export for EAT research.

QCA

Quantitative Coronary Angiography

Invasive angiography frame selection, vessel segmentation workflow, stenosis measurements, and research export bundles.

Screenshots

Visual workflow examples

Representative screenshots show how HAGRad converts image review into structured research outputs.

HAGRad EAT report showing epicardial adipose tissue volume, density, review coverage, and example segmented cardiac CT slices.

HAGRad EAT

Epicardial adipose tissue summary report with volume, density, review coverage, and segmented representative slices.

HAGRad core viewer showing axial cardiac CT, a stent-lumen square profile measurement, and the corresponding profile-analysis graph and metrics.

Core Viewer

Axial cardiac CT review with editable measurement overlays and quantitative stent-lumen profile analysis.

HAGRad CCTA IQ example showing six coronary CTA reconstructions with circular ROI measurements for objective image-quality comparison.

CCTA IQ

Objective image-quality comparison across coronary CTA reconstructions using ROI attenuation and noise measurements.

HAGRad CCTA IQ summary comparing VMI reconstructions with representative ROIs, statistical graphs, and subjective image-quality scores.

CCTA IQ Summary

Per-reconstruction output with representative ROIs, objective signal/noise graphs, and subjective quality scoring.

HAGRad QCA report showing an invasive coronary angiography still frame, vessel overlay, measurement table, and diameter profile for stenosis analysis.

QCA

Still-frame invasive angiography analysis with vessel overlay, stenosis measurements, and diameter profile output.

Demo video

Stent Analyzer via HAGRad

A case demonstration showing the HAGRad stent analysis workflow in action.

Downloads

Download HAGRad

Choose the package for your research workstation. Both downloads run locally and keep DICOM files on your computer.

macOS package

Includes macOS launcher scripts for the local HAGRad HTTPS server and workflow modules.

Download macOS package

Windows package

Includes Windows batch launchers for certificate setup, local server start, and viewer opening.

Download Windows package

Documentation

Documentation and project links

Detailed user guides, export schemas, and validation notes will be expanded alongside the software.

User documentation

Placeholder for installation, workflow, shortcut, and export documentation.

Technical notes

Placeholder for methods, validation, and module-specific technical documentation.

Citation

Citation placeholder

A manuscript citation and DOI will be added once available.

Hagar T. HAGRad: Open-Source Framework for Advanced Cardiac CT Research.
Version 0.9.0 research preview. 2026.
Repository: https://github.com/mt-hagar/hagrad-viewer

Support

Help keep HAGRad moving

HAGRad is independent research software. Contributions help support development, testing, documentation, and public releases for cardiovascular imaging research.

Support HAGRad

Book

Download book

Download the English PDF book for offline reading.

Download Book

Contact

Research collaboration

For collaboration, technical questions, or academic inquiries, please email hagarmu@musc.edu.

Email HAGRad