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Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues

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Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues

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Lago, MA.; Rupérez Moreno, MJ.; Martínez Martínez, F.; Martinez-Sanchis, S.; Bakic, P.; Monserrat, C. (2015). Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues. Expert Systems with Applications. 42(21):7942-7950. https://doi.org/10.1016/j.eswa.2015.05.058

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/150431

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Title: Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues
Author: Lago, M. A. Rupérez Moreno, María José Martínez Martínez, Francisco Martinez-Sanchis, Sandra Bakic, P.R. Monserrat, C.
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] This paper presents a novel methodology to in-vivo estimate the elastic constants of a constitutive model proposed to characterize the mechanical behavior of the breast tissues. An iterative search algorithm based on ...[+]
Subjects: Genetic heuristics , In-vivo tissue characterization , Breast biomechanical modeling , Parameter estimation
Copyrigths: Reserva de todos los derechos
Source:
Expert Systems with Applications. (issn: 0957-4174 )
DOI: 10.1016/j.eswa.2015.05.058
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.eswa.2015.05.058
Project ID:
NIH/CA154444
NSF/0916690
MINISTERIO DE EDUCACION /AP2009-2414
Thanks:
This project has been funded by MECD (reference AP2009-2414) and US National Institutes of Health (R01 Grant #CA154444), and the US National Science Foundation (III Grant #0916690). The content is solely the responsibility ...[+]
Type: Artículo

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