Memorias de investigación
Ponencias en congresos:
Neuroanatomic-Based Detection Algorithm for Automatic Labeling of Brain Structures in Brain Injury
Año:2013
Áreas de investigación
  • Biomedicina,
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
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.
Internacional
Si
Nombre congreso
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
Tipo de participación
960
Lugar del congreso
Sevilla, España
Revisores
Si
ISBN o ISSN
978-3-319-00846-2
DOI
Fecha inicio congreso
25/09/2013
Fecha fin congreso
28/09/2013
Desde la página
1694
Hasta la página
1697
Título de las actas
IFMBE Proceedings Vol. 41
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • 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