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Imaging · dataset · 2025

Digifrac

Listed in Teesside University Research Data Repository

We propose DigiFrac, a Python-based package developed for processing CT scan data to support 3D fracture extraction, complexity analysis, aperture distribution statistics, and orientation calculation.

Description

Initially, a random forest algorithm segments the CT data to extract the 3D fracture geometry. Based on this geometry, key parameters—such as fracture volume, fractal dimension, and H-index—are computed.

A slice-by-slice thinning algorithm is then applied to extract the fracture skeleton, while the local thickness method is used to determine fracture aperture distribution. Additionally, DigiFrac calculates fracture orientations from the skeleton’s 3D point cloud, enabling detailed, quantitative characterization of complex fracture systems.

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Provenance · 1 source records, 7 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/hcynpd9hf4.115 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:ctmapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Computed Tomography']
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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