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Systematic characterization and automated alignment of coronary tree geometries.

Publication ,  Conference
Ghorbannia, A; Randles, A
Published in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
July 2024

Coronary artery disease (CAD) is the most common form of cardiovascular disease, characterized by gradual narrowing of the artery walls due to plaque buildup. Computational fluid dynamics (CFD) is a non-invasive approach often used to investigate how these anatomical changes perturb local hemodynamics and contribute to the pathological mechanism of progression. Therefore, the accuracy of coronary tree alignment and anatomical feature detection is key to understanding these hemodynamically mediated mechanisms. Despite advances, current methods face challenges, such as the need for manual selection of landmarks, often resulting in a semi-automated experience. This study aims to improve this by developing a fully automated system to detect 3D anatomical characteristics and align coronary tree geometries in large clinical datasets. Our proposed algorithm enables full automatic placement of the corresponding centerline points and alignment evaluation through similarity-based assessment of Jaccard index (intersection over union) in a cohort of 73 coronary geometries.

Duke Scholars

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

July 2024

Volume

2024

Start / End Page

1 / 4

Related Subject Headings

  • Imaging, Three-Dimensional
  • Humans
  • Coronary Vessels
  • Coronary Artery Disease
  • Algorithms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ghorbannia, A., & Randles, A. (2024). Systematic characterization and automated alignment of coronary tree geometries. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2024, pp. 1–4). https://doi.org/10.1109/embc53108.2024.10781665
Ghorbannia, Arash, and Amanda Randles. “Systematic characterization and automated alignment of coronary tree geometries.” In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2024:1–4, 2024. https://doi.org/10.1109/embc53108.2024.10781665.
Ghorbannia A, Randles A. Systematic characterization and automated alignment of coronary tree geometries. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2024. p. 1–4.
Ghorbannia, Arash, and Amanda Randles. “Systematic characterization and automated alignment of coronary tree geometries.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2024, 2024, pp. 1–4. Epmc, doi:10.1109/embc53108.2024.10781665.
Ghorbannia A, Randles A. Systematic characterization and automated alignment of coronary tree geometries. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2024. p. 1–4.

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

July 2024

Volume

2024

Start / End Page

1 / 4

Related Subject Headings

  • Imaging, Three-Dimensional
  • Humans
  • Coronary Vessels
  • Coronary Artery Disease
  • Algorithms