Radiology research software

HAGRad

Heart Analysis Gateway for Radiologic Research and Development

An open-source local DICOM research environment for image review, multi-planar reformation, quantitative measurement, reconstruction comparison, image-quality analysis, QCA prototyping, EAT quantification, and CT phantom noise-power research.

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

Modules

Focused workflows for radiology and imaging research

The core viewer stays familiar while specialized measurements are separated into modules that can evolve independently.

Core viewer

Core DICOM Viewer

DICOM review with window/level, zoom, pan, MPR, vessel profile, blooming/stenosis diameter tools, and ZIP exports.

CCTA IQ

CCTA Image Quality

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

Physics

Noise Power

CT phantom square ROI statistics, circular NPS placement, multi-reconstruction noise-power comparison, TTF metrics, and export bundles.

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 image review becomes structured research output.

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

EAT Summary

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

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

Core Viewer

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

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.

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.

Noise Power workflow showing circular NPS placement, square ROI sampling, phantom image review, noise-power curves, and reconstruction metrics.

Noise Power

CT phantom NPS workflow with synced circular ROI placement, square sampling, reconstruction comparison, and export-ready noise-power metrics.

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.

Viewer comparison of non-calcified plaque-lumen line profile analysis across Bv60 and Qr40 reconstruction kernels.

Non-Calcified Plaque Profile

Line-profile analysis of the plaque-lumen interface to compare non-calcified plaque appearance across reconstruction kernels.

Demo video

Demo videos

Case demonstrations showing imaging analysis workflows in action.

Analyze Invasive Angiography With QCA

Review the quantitative coronary angiography workflow directly on the page or open the video file for full-screen playback.

Downloads

Download HAGRad Viewer

Choose the package for your research workstation. HAGRad Viewer runs locally, keeps DICOM files on your computer, and opens from one app icon after download.

macOS package

Download file: HAGRad-Viewer-macOS.dmg

  1. Open the DMG.
  2. Double-click HAGRad Viewer.app.
  3. First launch only: if macOS shows "HAGRad Viewer" Not Opened, click Done. Open System Settings > Privacy & Security, scroll to Security, then click Open Anyway for HAGRad Viewer and confirm.

Download for macOS (.dmg)

Windows package

Download file: HAGRad-Viewer-Windows.zip

  1. Right-click the downloaded zip and choose Extract All.
  2. Open the extracted folder, then double-click HAGRad Viewer.exe.
  3. First launch only: if Windows SmartScreen appears, choose More info, then Run anyway if you downloaded it from this page.

The executable bundles the launcher runtime, starts the local server, and uses localhost HTTP when HTTPS certificates are unavailable.

Download for Windows (.zip)

Release archive

Use GitHub releases for release notes, source archives, demo media, license information, and earlier research-preview builds.

The packaged downloads are intended for normal users; source archives are intended for developers and reviewers.

View GitHub releases

Research use only. HAGRad is not a clinical product or medical device. If launch fails, the app displays a message and writes logs to ~/Library/Logs/HAGRad Viewer/ on macOS or %LOCALAPPDATA%\HAGRad Viewer\logs\ on Windows.

Citation

Citation placeholder

A manuscript citation and DOI will be added once available.

Hagar T. HAGRad: Heart Analysis Gateway for Radiologic Research and Development.
Version 0.9.0 research preview. 2026.
Repository: https://github.com/mt-hagar/hagrad-viewer

Our mission

Heart Analysis Gateway for Radiologic Research and Development

Heart Analysis Gateway for Radiologic Research and Development (HAGRad) was developed as an open-source platform founded on the belief that advanced radiology research and education can become more accessible, reproducible, collaborative, and engaging. Built through more than 1,000 hours of development, refinement, debugging, testing, and real-world research use, the platform was designed to inspire and empower the next generation of researchers, physicians, engineers, and students by transforming complex image analysis into structured, supervised, and educationally meaningful research experiences.

Through synchronized reconstruction comparison, quantitative quality-control workflows, exportable structured outputs, and transparent analytical pipelines, the platform aims to modernize mentoring, facilitate scientific onboarding, and foster reproducible research practices within radiology and imaging science. By combining open-source accessibility with educational and research-oriented workflow design, the project seeks to accelerate innovation in imaging science while strengthening mentorship, collaboration, and long-term engagement in academic radiology and imaging research.

Please feel free to contact us with any questions, ideas, feedback, or interest in collaboration. If you would like to support our mission and the continued development of open-source radiology imaging research tools, please consider using the Support button to buy us a coffee. Thank you for supporting independent scientific innovation and education.

Credits

With Gratitude

I would like to thank my wonderful wife for all her support and patience. I love her deeply, and her encouragement has meant so much throughout this work. May Allah preserve her, bless her, and reward her with goodness.

She is also a chef behind Jenan Land, where she shares fantastic recipes. A good first stop is her Burnt Basque Cheesecake with Berry Compote.

Photo of the project creator with his wife outdoors.