Dysfunctional 3D model based on structural and neuropsychological information

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

Description

Title: Dysfunctional 3D model based on structural and neuropsychological information
Author/s:
  • 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.
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)
Event Dates: 07/03/2013 - 08/03/2013
Event Location: Valencia, Spain
Title of Book: International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)
Date: 2013
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 26365
DC Identifier: http://oa.upm.es/26365/
OAI Identifier: oai:oa.upm.es:26365
Deposited by: Memoria Investigacion
Deposited on: 25 May 2014 11:58
Last Modified: 22 Sep 2014 11:41
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