title: Neuroanatomic-based detection algorithm for automatic labeling of brain structures in brain injury
creator: Luna Serrano, Marta
creator: Gayá Moreno, Francisco Javier
creator: García Molina, A.
creator: González Rivas, Luis Miguel
creator: Cáceres Taladriz, César
creator: Bernabeu Guitart, M.
creator: Roig Rovira, Teresa
creator: Pascual Leone, Álvaro
creator: Tormos Muñoz, Josep M.
creator: Gómez Aguilera, Enrique J.
subject: Medicine
subject: Telecommunications
description: 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.
publisher: E.T.S.I. Telecomunicación (UPM)
rights: https://creativecommons.org/licenses/by-nc-nd/3.0/es/
date: 2014
type: info:eu-repo/semantics/conferenceObject
type: Presentation at Congress or Conference
source: IFMBE Proceedings | XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013) | 25/09/2013 - 28/09/2013 | Sevilla, Spain
type: PeerReviewed
format: application/pdf
language: eng
rights: info:eu-repo/semantics/openAccess
relation: info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-00846-2_418
identifier: https://oa.upm.es/26117/