TY - GEN
T1 - Modeling of the Major Temporal Arcade using Genetic Algorithms and Orthogonal Polynomials
AU - Soto-Alvarez, Jose Alfredo
AU - Cruz-Aceves, Ivan
AU - Hernandez-Aguirre, Arturo
AU - Hernandez-Gonzalez, Martha Alicia
AU - Lopez-Montero, Luis Miguel
AU - Moya-Albor, Ernesto
AU - Brieva, Jorge
AU - Gomez-Coronel, Sandra L.
AU - Pérez-Daniel, Karina Ruby
N1 - Publisher Copyright:
© 2023 SPIE.
PY - 2023
Y1 - 2023
N2 - Nowadays eye diseases that are not treated in a timely manner can lead to blindness in the patient. Diabetic retinopathy and retinopathy of prematurity are a couple of conditions considered to be the main causes of blindness in both adults and children. The technique used to date to verify the status of the retina is a qualitative analysis by an ophthalmological expert of fundus images. However, this is entirely based on the experience acquired by the physician and being able to detect changes in the vascular structure of the retina is a great challenge which can be addressed through technology. This paper presents a novel method to carry out the numerical modeling of the major temporal arcade using orthogonal polynomials of Legendre, Chebyshev and Laguerre through a genetic algorithm that helps to determine the coefficients of the linear combination of each one. A set of twenty fundus images already outlined by an expert was used, which were processed by the algorithm, generating an adjustment curve on the set of pixels of the Major Temporal Arcade. The results obtained were compared with three existing methodologies in the literature by using two metrics, emerging the Legendre polynomials as the most suitable for modeling, as a consequence of the low values obtained in the metrics compared to the other methods.
AB - Nowadays eye diseases that are not treated in a timely manner can lead to blindness in the patient. Diabetic retinopathy and retinopathy of prematurity are a couple of conditions considered to be the main causes of blindness in both adults and children. The technique used to date to verify the status of the retina is a qualitative analysis by an ophthalmological expert of fundus images. However, this is entirely based on the experience acquired by the physician and being able to detect changes in the vascular structure of the retina is a great challenge which can be addressed through technology. This paper presents a novel method to carry out the numerical modeling of the major temporal arcade using orthogonal polynomials of Legendre, Chebyshev and Laguerre through a genetic algorithm that helps to determine the coefficients of the linear combination of each one. A set of twenty fundus images already outlined by an expert was used, which were processed by the algorithm, generating an adjustment curve on the set of pixels of the Major Temporal Arcade. The results obtained were compared with three existing methodologies in the literature by using two metrics, emerging the Legendre polynomials as the most suitable for modeling, as a consequence of the low values obtained in the metrics compared to the other methods.
KW - Genetic algorithm
KW - Health
KW - Major temporal arcade
KW - Numerical modeling
KW - Orthogonal polynomials
KW - Retinal fundus images
UR - http://www.scopus.com/inward/record.url?scp=85159360581&partnerID=8YFLogxK
U2 - 10.1117/12.2669720
DO - 10.1117/12.2669720
M3 - Contribución a la conferencia
AN - SCOPUS:85159360581
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 18th International Symposium on Medical Information Processing and Analysis
A2 - Brieva, Jorge
A2 - Guevara, Pamela
A2 - Lepore, Natasha
A2 - Linguraru, Marius G.
A2 - Rittner, Leticia
A2 - Castro, Eduardo Romero
PB - SPIE
T2 - 18th International Symposium on Medical Information Processing and Analysis
Y2 - 9 November 2022 through 11 November 2022
ER -