MåleCT

MåleCT is a hypothetical open-source software toolkit for quantitative analysis of computed tomography (CT) data. It is intended for researchers and professionals who work with CT-based measurements across fields such as materials science, geoscience, biology, and medical imaging. The name combines the Danish word måle, meaning measure, with CT.

Core capabilities include calibration of CT numbers using reference phantoms to convert Hounsfield units to physical properties, region-of-interest ROI analysis, segmentation tools, and automated measurement of volumes, surface areas, density distributions, porosity, and pore-size metrics. It supports standard data formats (DICOM, NIfTI, and raw voxel arrays) and can export results as CSV or JSON. A Python API and a command-line interface enable scripting and batch processing, with optional graphical user interface features described in the project documentation.

MåleCT emphasizes reproducibility through configurable workflows, logging, and version-controlled configurations. It performs 3D operations such as resampling, alignment, and noise filtering, while maintaining voxel-size awareness to ensure comparable measurements across datasets. The project aims to interoperate with existing imaging pipelines and to provide transparent, publication-ready outputs.

As an open-source project, MåleCT is community-maintained and documentation-rich. It is distributed under a permissive license, invites contributions, and provides installation guides for major operating systems. The project page typically includes tutorials, example datasets, and references to related work in CT-based quantification and metrology.