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Updated: May 25, 2026

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

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Dimensional quantification of embedded voids or objects in three dimensions using X-ray tomography.

Brian M Patterson¹, Juan P Escobedo-Diaz, Darcie Dennis-Koller

¹Los Alamos National Laboratory, Materials Science and Technology Division, P.O. Box 1663, MS E549, Los Alamos, New Mexico 87545, USA. bpatterson@lanl.gov

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Summary

This summary is machine-generated.

Accurate 3D image quantification requires sufficient voxels per object for reliable geometric statistics. Image processing, including segmentation, significantly impacts damage measurements in materials like copper.

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Area of Science:

Scientific digital imaging
Materials science
Image processing

Background:

3D digital imaging, like X-ray computed tomography, offers flexible data acquisition and processing.
Image processing steps (filtering, thresholding, segmentation) can significantly alter quantitative results.
Accurate quantification of object properties depends heavily on processing choices.

Purpose of the Study:

Investigate the minimum number of voxels required for accurate 3D geometric statistics.
Evaluate the impact of post-processing, specifically segmentation, on damage statistics in high purity copper.
Determine appropriate image processing techniques for reliable 3D data analysis.

Main Methods:

Utilized simple cylinders to assess voxel count influence on statistics (volume, Feret shape, surface area).
Explored various smoothing, filtering, and processing techniques for 3D datasets.
Analyzed the effect of segmentation on damage statistics in high purity copper.

Main Results:

Insufficient voxel counts lead to inaccurate geometric statistics, not reflective of true object properties.
Image processing choices, particularly thresholding during binarization, directly affect object counts and dimensions.
Segmentation significantly influences the measurement of damage statistics in materials.

Conclusions:

Establishing a minimum voxel threshold is crucial for reliable 3D object characterization.
Careful selection and validation of image processing and segmentation methods are essential for accurate materials analysis.
Understanding processing influences is key to obtaining meaningful data from 3D scientific imaging.