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Published on: March 8, 2019
Centerline calculation for extracting abdominal aorta in 3-D MRI images
Danilo Babin1, Ewout Vansteenkiste, Aleksandra Pižurica
1Department of Telecommunications and Information Processing-TELIN-IPI-IBBT, Faculty of Sciences, Ghent University, Sint-Pietersnieuwstraat 41, B-9000 Ghent, Belgium. dbabin@telin.ugent.be
Summary
This study introduces a new graph-based method for accurately measuring abdominal aorta length from MRI scans. This technique improves cardiovascular health assessment by overcoming image artifacts and noise.
Area of Science:
- Medical imaging analysis
- Cardiovascular diagnostics
- Biomedical engineering
Background:
- Abdominal aorta examination aids cardiovascular disease diagnosis.
- Aortic stiffness, measured by pulse wave velocity (PWV), estimates cardiovascular health.
- Accurate abdominal aorta length is crucial for PWV calculation.
Purpose of the Study:
- To develop a robust method for extracting abdominal aorta centerlines from non-contrasted MRI images.
- To enable accurate abdominal aorta length calculation for cardiovascular health assessment.
- To create a method resilient to artifacts and noise in medical imaging.
Main Methods:
- A novel graph-based algorithm was developed for centerline extraction.
- The method was applied to non-contrasted MRI images of the aorta.
- Robustness to artifacts and noise was a key design consideration.
Main Results:
- The developed method successfully extracts abdominal aorta centerlines.
- The technique demonstrates robustness against common imaging artifacts and noise.
- The method is applicable across different imaging modalities.
Conclusions:
- The novel graph-based approach provides a reliable tool for abdominal aorta centerline extraction.
- This method enhances the accuracy of pulse wave velocity calculations and cardiovascular health assessment.
- The technique offers a valuable solution for non-invasive cardiovascular diagnostics using medical imaging.

