eprintid: 26117
rev_number: 15
eprint_status: archive
userid: 1903
dir: disk0/00/02/61/17
datestamp: 2014-05-27 18:37:17
lastmod: 2015-02-01 23:56:16
status_changed: 2014-05-27 18:37:17
type: conference_item
metadata_visibility: show
item_issues_count: 0
creators_name: Luna Serrano, Marta
creators_name: Gayá Moreno, Francisco Javier
creators_name: García Molina, A.
creators_name: González Rivas, Luis Miguel
creators_name: Cáceres Taladriz, César
creators_name: Bernabeu Guitart, M.
creators_name: Roig Rovira, Teresa
creators_name: Pascual Leone, Álvaro
creators_name: Tormos Muñoz, Josep M.
creators_name: Gómez Aguilera, Enrique J.
title: Neuroanatomic-based detection algorithm for automatic labeling of brain structures in brain injury
ispublished: pub
subjects: medicina
subjects: telecomunicaciones
keywords: Neuroimaging, Descriptors, Landmarks, Magnetic Resonance Imaging (MRI), Neuroanatomic Structures
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.
date: 2014
date_type: published
publisher: Springer
id_number: 10.1007/978-3-319-00846-2_418
full_text_status: public
pres_type: paper
volume: 41
pagerange: 1694-1697
pages: 4
event_title: XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013)
event_location: Sevilla, Spain
event_dates: 25/09/2013 - 28/09/2013
event_type: conference
institution: Telecomunicacion
department: Tecnologia_Fotonica
refereed: TRUE
book_title: IFMBE Proceedings
rights: by-nc-nd
citation:    Luna Serrano, Marta, Gayá Moreno, Francisco Javier, García Molina, A., González Rivas, Luis Miguel, Cáceres Taladriz, César, Bernabeu Guitart, M., Roig Rovira, Teresa, Pascual Leone, Álvaro, Tormos Muñoz, Josep M. and Gómez Aguilera, Enrique J.  (2014).  Neuroanatomic-based detection algorithm for automatic labeling of brain structures in brain injury.  In: "XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013)", 25/09/2013 - 28/09/2013, Sevilla, Spain. pp. 1694-1697.   https://doi.org/10.1007/978-3-319-00846-2_418 <https://doi.org/10.1007/978-3-319-00846-2_418>. 
document_url: https://oa.upm.es/26117/1/INVE_MEM_2013_162683.pdf