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Determining the Biomechanical Behavior of the Liver Using Medical Image Analysis and Evolutionary Computation

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Determining the Biomechanical Behavior of the Liver Using Medical Image Analysis and Evolutionary Computation

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dc.contributor.advisor Monserrat Aranda, Carlos es_ES
dc.contributor.advisor Rupérez Moreno, María José es_ES
dc.contributor.author Martínez Martínez, Francisco es_ES
dc.date.accessioned 2014-09-03T06:58:13Z
dc.date.available 2014-09-03T06:58:13Z
dc.date.created 2014-07-16T09:30:16Z es_ES
dc.date.issued 2014-09-03T06:58:08Z es_ES
dc.identifier.uri http://hdl.handle.net/10251/39337
dc.description.abstract Modeling the liver deformation forms the basis for the development of new clinical applications that improve the diagnosis, planning and guidance in liver surgery. However, the patient-specific modeling of this organ and its validation are still a challenge in Biomechanics. The reason is the difficulty to measure the mechanical response of the in vivo liver tissue. The current approach consist of performing minimally invasive or open surgery aimed at estimating the elastic constant of the proposed biomechanical models. This dissertation presents how the use of medical image analysis and evolutionary computation allows the characterization of the biomechanical behavior of the liver, avoiding the use of these minimally invasive techniques. In particular, the use of similarity coefficients commonly used in medical image analysis has permitted, on one hand, to estimate the patient-specific biomechanical model of the liver avoiding the invasive measurement of its mechanical response. On the other hand, these coefficients have also permitted to validate the proposed biomechanical models. Jaccard coefficient and Hausdorff distance have been used to validate the models proposed to simulate the behavior of ex vivo lamb livers, calculating the error between the volume of the experimentally deformed samples of the livers and the volume from biomechanical simulations of these deformations. These coefficients has provided information, such as the shape of the samples and the error distribution along their volume. For this reason, both coefficients have also been used to formulate a novel function, the Geometric Similarity Function (GSF). This function has permitted to establish a methodology to estimate the elastic constants of the models proposed for the human liver using evolutionary computation. Several optimization strategies, using GSF as cost function, have been developed aimed at estimating the patient-specific elastic constants of the biomechanical models proposed for the human liver. Finally, this methodology has been used to define and validate a biomechanical model proposed for an in vitro human liver. en_EN
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.source Riunet es_ES
dc.subject Biomechanical modeling es_ES
dc.subject Liver es_ES
dc.subject Jaccard es_ES
dc.subject Hausdorff es_ES
dc.subject Scatter Search es_ES
dc.subject Genetic Algorithms es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Determining the Biomechanical Behavior of the Liver Using Medical Image Analysis and Evolutionary Computation
dc.type Tesis doctoral es_ES
dc.identifier.doi 10.4995/Thesis/10251/39337 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Martínez Martínez, F. (2014). Determining the Biomechanical Behavior of the Liver Using Medical Image Analysis and Evolutionary Computation [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/39337 es_ES
dc.description.accrualMethod TESIS es_ES
dc.type.version info:eu-repo/semantics/acceptedVersion es_ES
dc.relation.tesis 7305 es_ES


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