A new parameter identification method of soft biological tissue combining genetic algorithm with analytical optimization

“…Based on the material parameter identification in biomechanics, a recently developed method, to be referred to as general algorithm optimisation (GAO), was introduced by Harb et al (2011). In this paper, we write its generalised form.…”

Section: Introductionmentioning

confidence: 99%

GAO parameter identification method in biomechanics

Harb

Labed

Domaszewski

et al. 2011

Computer Methods in Biomechanics and Biomedical Engineering

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“…In this work, a genetic algorithm drives the iterative search. Genetic heuristics have proved to be suitable to estimate the elastic constants of soft tissue [9,17], achieving errors of less than 4%.…”

Section: Search Algorithmmentioning

confidence: 99%

A new methodology for the in vivo estimation of the elastic constants that characterize the patient-specific biomechanical behavior of the human cornea

Lago

Rupérez

Martínez‐Martínez

et al. 2015

Journal of Biomechanics

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Elsevier Lago, MA.; Rupérez Moreno, MJ.; Martínez Martínez, F.; Monserrat Aranda, C.; Larra, E.; Gueell, JL.; Peris-Martinez, C. (2015). A new methodology for the in vivo estimation of the elastic constants that characterize the patient-specific biomechanical behavior of the human cornea. Journal of Biomechanics. 48(1): 38-43. doi:10.1016/j.jbiomech.2014.11.009. A new methodology for the in-vivo estimation of the elastic constants that characterize the patient-specific biomechanical behavior of the human cornea AbstractThis work presents a methodology for the in-vivo characterization of the complete biomechanical behavior of the human cornea of each patient. Specifically, the elastic constants of a hyperelastic, second-order Ogden model were estimated for 24 corneas corresponding to 12 patients. The finite element method was applied to simulate the deformation of human corneas due to non-contact tonometry, and an iterative search controlled by a genetic heuristic was used to estimate the elastic parameters that most closely approximates the simulated deformation to the real one. The results from a synthetic experiment showed that these parameters can be estimated with an error of about 5%. The results of 24 in-vivo corneas showed an overlap of about 90% between simulation and real deformed cornea and a modified Hausdorff distance of 25µm, which indicates the great accuracy of the proposed methodology.

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“…Specifically, evolutionary computation has been used in this field to identify the elastic constants of a hyperelastic model proposed to characterize the biomechanical behavior of the heart [Pandit et al, 2005;Nair et al, 2007] and also of the arterial wall [Harb et al, 2011]. In [Martínez-Martínez et al, 2013b], our group presented a study based on evolutionary algorithms for the in-vivo characterization of the biomechanical behavior of the liver.…”

Section: Characterization Of the Breast Tissuesmentioning

confidence: 99%

“…As commented in Chapter 2, the mechanical behavior of biological tissue has been widely studied in the literature [Lanir, 1979;Fung, 1993;Provenzano et al, 2002;Kim and Srinivasan, 2005;Gefen and Dilmoney, 2007;Cox et al, 2007;Samani and Plewes, 2007;Shi et al, 2008;Rajagopal et al, 2008;Lanchares et al, 2008;Vigneron et al, 2010;Harb et al, 2011;Tanner et al, 2011;Hsu et al, 2011;Han et al, 2012;Solves Llorens et al, 2012;Martínez-Martínez et al, 2012;Zhang et al, 2013;Burkhart et al, 2013]. In order to generate a reliable and realistic model of the biomechanical behavior of soft tissue, the elastic constants of the constitutive models that govern such behavior need to be obtained.…”

Section: Biomechanical Modeling Of Soft Tissuementioning

confidence: 99%

A new approach for the in-vivo characterization of the biomechanical behavior of the breast and the cornea

Ángel¹,

Ángel²

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AgradecimientosLlegando al final del camino, uno se pregunta si ha valido la pena el tiempo y esfuerzo invertido y la respuesta es sí. Desde aquel primer día que empecé esta aventura, hasta el último de ellos, ésta ha sido, sin duda, la experiencia más enriquecedora de mi vida. Todo lo aprendido y todo vivido, son cosas que formarán parte de mí y que siempre recordaré con especial alegría.El trabajo que hay en estas páginas no es algo individual, pues debo dar las gracias a todas las personas que han influido en él en mayor o menor medida. Ha sido mucha la gente que he tenido el placer de conocer durante estos años y que no han dejado de sorprenderme día a día, empezando por mis dos directores de tesis, Carlos y María José, que han sido mis maestros durante estos años y con los que siempre estaré en deuda por todos los consejos y ayuda que me han aportado, no sólo en el ámbito académico. Pero, sobre todo, por la paciencia que han demostrado en muchas de las discusiones que hemos tenido.Muchísimas gracias a mis compañeros de trabajo con los que he compartido tantos momentos y anécdotas: Rober, Fer, Sandra, Eliseo, Juanjo, Pablo, Álex y, especialmente, a mi segundo de a bordo y amigo Fran, por la ayuda y consejos que han sido cruciales para que esta tesis saliera adelante.I would also like to thank Andrew Maidment and, specially, Predrag Bakic for his enthusiastic support this last year and during my stay at the University of Pennsylvania. I could have never thought in a better place to stay.Finalmente, gracias a mis padres Marina y Jesús y a mi hermano Óscar, además de todos los amigos, viejos y nuevos, que han visto como aquella decisión que hizo que me dedicara a la investigación ha dado por fin sus frutos. Una carrera investigadora que no sé a dónde me llevará a partir de ahora. Es un emocionante misterio, el no saber qué me deparará el futuro, que me intriga y estoy deseando descubrir.That quite definitely is the answer. I think the problem, to be quite honest with you, is that you've never actually known what the question is.Deep Thought, The Hitchhiker's Guide to the Galaxy Douglas Adams AbstractThe characterization of the mechanical behavior of soft living tissues is a big challenge in Biomechanics. The difficulty arises from both the access to the tissues and the needed manipulation in order to know their physical properties. Currently, the biomechanical characterization of organs is mainly performed by testing ex-vivo tissue samples or by means of indentation tests. In the first case, the obtained behavior does not represent the real response of the organ. In the second case, it is only a representation of the mechanical response of the indented areas. The purpose of the research reported in this thesis is the development of a methodology for the in-vivo characterization of the biomechanical behavior of two different organs: the breast and the cornea. The proposed methodology allows the in-vivo characterization of their biomechanical behavior using medical images.The research reported in this thesis desc...

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A new parameter identification method of soft biological tissue combining genetic algorithm with analytical optimization

Cited by 23 publications

References 18 publications

GAO parameter identification method in biomechanics

GAO parameter identification method in biomechanics

A new methodology for the in vivo estimation of the elastic constants that characterize the patient-specific biomechanical behavior of the human cornea

A new approach for the in-vivo characterization of the biomechanical behavior of the breast and the cornea

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