Artificial Intelligence and Numerical Methods Aided Design of Patient-Specific Coronary Stents

William Solórzano-Requejo, William Solórzano-Requejo, Carlos Aguilar, Rodrigo Zapata Martínez, Oscar Contreras-Almengor, Isabel Moscol, Carlos Ojeda, Jon Molina-Aldareguia, Jon Molina-Aldareguia, Andrés Diaz Lantada

2023

Abstract

The design of personalized medical devices, which are adapted to the patient’s needs, starts from a digital model created from the advanced use of clinical imaging techniques such as magnetic resonance imaging or computed tomography. However, this methodology has several sources of error related to the medical imaging acquisition, segmentation and reverse engineering process, tessellation, and the selected additive manufacturing technique. Therefore, this paper proposes a new design strategy that avoids medical image segmentation. To demonstrate its feasibility, a patient-specific coronary stent was designed and manufactured based on slices similar to medical images. Using artificial intelligence algorithms and numerical methods, the ellipse that best fit the patient’s artery was obtained, and finally customized stent was generated from the parameterization of unit cells, demonstrating that it is possible to semi-automate the design of biodevices by removing some sources of error inherent to the conventional workflow.

Paper Citation

in Harvard Style

Solórzano-Requejo W., Aguilar C., Zapata Martínez R., Contreras-Almengor O., Moscol I., Ojeda C., Molina-Aldareguia J. and Diaz Lantada A. (2023). Artificial Intelligence and Numerical Methods Aided Design of Patient-Specific Coronary Stents. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES; ISBN 978-989-758-631-6, SciTePress, pages 37-45. DOI: 10.5220/0011639000003414

in Bibtex Style

@conference{biodevices23,
author={William Solórzano-Requejo and Carlos Aguilar and Rodrigo Zapata Martínez and Oscar Contreras-Almengor and Isabel Moscol and Carlos Ojeda and Jon Molina-Aldareguia and Andrés Diaz Lantada},
title={Artificial Intelligence and Numerical Methods Aided Design of Patient-Specific Coronary Stents},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES},
year={2023},
pages={37-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011639000003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES
TI - Artificial Intelligence and Numerical Methods Aided Design of Patient-Specific Coronary Stents
SN - 978-989-758-631-6
AU - Solórzano-Requejo W.
AU - Aguilar C.
AU - Zapata Martínez R.
AU - Contreras-Almengor O.
AU - Moscol I.
AU - Ojeda C.
AU - Molina-Aldareguia J.
AU - Diaz Lantada A.
PY - 2023
SP - 37
EP - 45
DO - 10.5220/0011639000003414
PB - SciTePress