Image quality modules

Analysis Software

Comprehensive image quality assessment tools for photon-counting detector CT. Standardized, reproducible, and scalable evaluation across every energy bin.

What's Included.

QAF's software suite covers the full spectrum of image quality metrics used in photon-counting CT research. Each analysis module supports multi-energy bin data, interactive ROI selection, publication-quality plots, and Excel export — all from your browser.

Workflow.

Upload DICOM images, select energy bins, draw regions of interest, and run your analysis. Results are saved to study sessions so you can compare across scans and export complete datasets for publication.

Analysis Modules.

Core image quality metrics for photon Counting CT

Image Uniformity

Check CT-number consistency across the field of view. Center and peripheral ROIs on a uniform phantom; reports max |periphery − center| with PASS/FAIL against type-specific HU tolerances.

Artefact Assessment

Visual QC on uniform phantom images. Review for rings, streaks, shading/cupping, and blooming; record findings with reviewer and timestamp. No visible artefacts = PASS.

Spectral Linearity — HU

Evaluate material response in Hounsfield Units across concentrations and energy bins. Interactive ROI workflow, linearity plots, and Excel export.

Spectral Linearity — Attenuation

Same spectral linearity workflow in linear attenuation (cm⁻¹). Compare material response across energy bins with multi-material study support.

Signal-to-Noise Ratio (SNR)

Quantify signal strength relative to noise for any ROI across all energy bins. Optional baseline and minimum SNR thresholds, with plots and Excel export.

Contrast-to-Noise Ratio (CNR)

Measure CNR = |μ_signal − μ_background| / σ_background across energy bins. Set a background ROI, add signal ROIs, plot results, and export statistics.

Noise Power Spectrum — 1D

Radial 1D NPS from uniform ROIs. Characterizes noise power across spatial frequencies, with voxel-size scaling and Excel export.

Noise Power Spectrum — 2D

2D planar NPS with interactive heatmaps. Shows noise power across the x–y spatial-frequency plane for each energy bin.

Noise Power Spectrum — 3D

Full volumetric NPS across x, y, and z. Surface and volume views with energy-bin selection and export.

Resolution (MTF)

Spatial resolution via PSF or LSF. Reports FWHM and MTF at 10% and 50% thresholds across energy bins.

ρ_e / Z_eff

Relative electron density (ρ_e) and effective atomic number (Z_eff) from spectral inserts. ROI-guided workflow and Excel export.

Material Identification

Identify materials from spectral signatures with diagnostic metrics — accuracy, precision, recall, and F1-score.

Material Quantification

Quantify material concentrations from spectral data using calibration samples of known composition.

Key Features

Every module is built for research-grade reproducibility

Study Management

Organize results into named studies. Switch between studies, compare results, and export full datasets.

Multi-Energy Support

Native support for photon-counting CT data with multiple energy bins. Analyze and compare across all bins simultaneously.

Export & Reporting

Export results as Excel spreadsheets with plots. Generate publication-ready figures directly from the platform.

Ready to Analyze?

Create a free account to start uploading DICOM images and running analyses on your photon counting CT data.

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