Dysfunctional 3D model based on structural and neuropsychological information

Luna Serrano, Marta; Caballero Hernandez, Ruth; González Rivas, Luis Miguel; García Molina, A.; García Rudolph, A.; Cáceres Taladriz, César; Sanchez Carrion, R.; Roig Rovira, Teresa; Tormos Muñoz, Josep M. y Gómez Aguilera, Enrique J. (2013). Dysfunctional 3D model based on structural and neuropsychological information. En: "International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)", 07/03/2013 - 08/03/2013, Valencia, Spain. pp. 175-178.

Descripción

Título: Dysfunctional 3D model based on structural and neuropsychological information
Autor/es:
  • Luna Serrano, Marta
  • Caballero Hernandez, Ruth
  • González Rivas, Luis Miguel
  • García Molina, A.
  • García Rudolph, A.
  • Cáceres Taladriz, César
  • Sanchez Carrion, R.
  • Roig Rovira, Teresa
  • Tormos Muñoz, Josep M.
  • Gómez Aguilera, Enrique J.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)
Fechas del Evento: 07/03/2013 - 08/03/2013
Lugar del Evento: Valencia, Spain
Título del Libro: International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)
Fecha: 2013
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Acquired brain injury (ABI) 1-2 refers to any brain damage occurring after birth. It usually causes certain damage to portions of the brain. ABI may result in a significant impairment of an individuals physical, cognitive and/or psychosocial functioning. The main causes are traumatic brain injury (TBI), cerebrovascular accident (CVA) and brain tumors. The main consequence of ABI is a dramatic change in the individuals daily life. This change involves a disruption of the family, a loss of future income capacity and an increase of lifetime cost. One of the main challenges in neurorehabilitation is to obtain a dysfunctional profile of each patient in order to personalize the treatment. This paper proposes a system to generate a patient s dysfunctional profile by integrating theoretical, structural and neuropsychological information on a 3D brain imaging-based model. The main goal of this dysfunctional profile is to help therapists design the most suitable treatment for each patient. At the same time, the results obtained are a source of clinical evidence to improve the accuracy and quality of our rehabilitation system. Figure 1 shows the diagram of the system. This system is composed of four main modules: image-based extraction of parameters, theoretical modeling, classification and co-registration and visualization module.

Más información

ID de Registro: 26365
Identificador DC: http://oa.upm.es/26365/
Identificador OAI: oai:oa.upm.es:26365
Depositado por: Memoria Investigacion
Depositado el: 25 May 2014 11:58
Ultima Modificación: 22 Sep 2014 11:41
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