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Medical ImagingGenerated accuracy model review: 2026-05-06
Pixel Spacing accuracy and testing
This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.
Formula source
- **Pixel Size = FOV / Matrix**. For example, a 250mm FOV with a 512 matrix gives 250/512 = 0.488mm per pixel.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Field of View: 250 mm
- Matrix Size: 512 px
Expected outputs
- Pixel Size: 0.49 mm
- Pixel Area: 0.24 mm²
Known limitations
- This page documents the checked-in calculator logic and does not certify results for every real-world edge case.
- Use the result as a planning estimate unless the calculator page states a stricter purpose.
Assumptions
- The output reflects in-plane pixel spacing only and does not account for slice thickness or through-plane resolution.
- Displayed detail also depends on reconstruction kernel, sampling, and modality-specific physics, not just pixel size.
- This tool is useful for planning and explanation, but actual DICOM pixel spacing should come from the source data when available.
Unit handling
- Field of View accepts values in mm.
- Matrix Size accepts values in px.
- Pixel Size is displayed in mm.
- Pixel Area is displayed in mm².
Rounding rules
- Number displays use up to 2 decimal places in the calculator UI.
Version history
1.0.0 - 2026-05-06
Generated accuracy and testing page from the current pixel-size-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Pixel Spacing.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.