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Aorta Segmentation in 3D CT Images by Combining Image Processing and Machine Learning Techniques.

Christos MavridisTheodore L EconomopoulosGeorgios BenetosGeorge K Matsopoulos
Published in: Cardiovascular engineering and technology (2024)
The proposed methodology achieved superior segmentation performance, compared to all compared segmentation techniques, in terms of the accuracy of the extracted 3D aortic model. Therefore, the proposed segmentation scheme could be used in clinical practice, such as in treatment planning and assessment, as it can speed up the evaluation of the medical imaging data, which is commonly a lengthy and tedious process.
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