Codes for tissue thickness estimation from 3D images, using a minimum-line-integral approach.
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This toolbox can be used to compute the tissue thickness, such as the cortical thickness, from soft-segmented 3D medical images (tissue probability maps) via a volumetric approach based on minimum line integrals (Aganj et al, HBM 2009).
For a short tutorial, see EXAMPLE.m.
Cite As
Iman Aganj (2026). Tissue Thickness Estimation via Minimum Line Integrals (https://www.mathworks.com/matlabcentral/fileexchange/64085-tissue-thickness-estimation-via-minimum-line-integrals), MATLAB Central File Exchange. Retrieved .
I. Aganj, G. Sapiro, N. Parikshak, S. K. Madsen, and P. Thompson, “Measurement of cortical thickness from MRI by minimum line integrals on soft-classified tissue,” Human Brain Mapping, vol. 30, no. 10, pp. 3188–3199, 2009. http://doi.org/10.1002/hbm.20740
General Information
- Version 1.3.0.1 (6.29 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3.0.1 | Minor update. |
||
| 1.3.0.0 | Compiled MEX files removed. Download them at: www.nitrc.org/projects/thickness |
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| 1.1.0.0 | Minor edits. |
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| 1.0.0.0 |
