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Memorias de investigación
Communications at congresses:
Neuroanatomic-Based Detection Algorithm for Automatic Labeling of Brain Structures in Brain Injury
Year:2013
Research Areas
  • Biomedicine,
  • Electronic technology and of the communications
Information
Abstract
The number and grade of injured neuroanatomic structures and the type of injury determine the degree of impairment after a brain injury event and the recovery options of the patient. However, the body of knowledge and clinical intervention guides are basically focused on functional disorder and they still do not take into account the location of injuries. The prognostic value of location information is not known in detail either. This paper proposes a feature-based detection algorithm, named Neuroanatomic-Based Detection Algorithm (NBDA), based on SURF (Speeded Up Robust Feature) to label anatomical brain structures on cortical and sub-cortical areas. Themain goal is to register injured neuroanatomic structures to generate a database containing patient?s structural impairment profile. This kind of information permits to establish a relation with functional disorders and the prognostic evolution during neurorehabilitation procedures.
International
Si
Congress
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
960
Place
Sevilla, España
Reviewers
Si
ISBN/ISSN
978-3-319-00846-2
Start Date
25/09/2013
End Date
28/09/2013
From page
1694
To page
1697
IFMBE Proceedings Vol. 41
Participants
  • Autor: Marta Luna Serrano (UPM)
  • Autor: César Cáceres Taladriz (UPM)
  • Autor: Enrique Javier Gomez Aguilera (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Tecnología Fotónica y Bioingeniería
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