The goal of this project is to allow radiologists to extract images of a volumetric skull CT scan at any point of the skull's surface, with an incline that is perpendicular to the surface of the skull. For example, consider this triangulation of a skull CT scan;
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| Volumetric visualization of a skull CT scan |
The points marked in blue are points of interest, where we would like to extract a cross-sectional slice at an incline that is perpendicular to the skull's surface. The main advantage of this algorithm is that it allows one to define curves of interest on the surface, and then the algorithm automatically extracts n evenly spaced images along the curves, at precisely the desired perpendicular incline. In the above photo, the four coordinates define a curve. The blue dots are auto-generated equidistant points of interest.
For many purposes (including Age-At-Death, AAD, estimation), radiologists assess many cross-sectional images of the skull. Extracting them manually can be tedious, and this software eases the process. In the context of generating suture slices (used for AAD), this is one generated by the algorithm:
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| Cross-sectional suture image generated by the algorithm |
For those curious, this was implemented as part of a larger project with a final goal of estimating Age-At-Death based on skull CT scans, presented by Andrey Gizdov at the European Union Contest for Young Scientists (EUCYS) 2019. Full documentation is available under Documentation.pdf
For usage instructions, please refer to the documentation and the run.txt file.