Observatorio de I+D+i UPM

Memorias de investigación
Thesis:
Image processing methods for human brain connectivity analysis from in-vivo diffusion MRI
Year:2015
Research Areas
  • Engineering,
  • Electronic technology and of the communications
Information
Abstract
The structural connectivity of the brain is considered to encode species-wise and subject-wise patterns that will unlock large areas of understanding of the human brain. Currently, diffusion MRI of the living brain enables to map the microstructure of tissue, allowing to track the pathways of fiber bundles connecting the cortical regions across the brain. These bundles are summarized in a network representation called connectome that is analyzed using graph theory. The extraction of the connectome from diffusion MRI requires a large processing flow including image enhancement, reconstruction, segmentation, registration, diffusion tracking, etc. Although a concerted effort has been devoted to the definition of standard pipelines for the connectome extraction, it is still crucial to define quality assessment protocols of these workflows. The definition of quali$ control protocols is hindered by the complexity of the pipelines under test and the absolute lack of gold-standards for diffusion MRI data.
International
Si
Type
Doctoral
Mark Rating
Sobresaliente cum laude
Date
25/11/2015
Participants
  • Autor: Oscar Esteban Sanz-Dranguet (UPM)
  • Director: Andres de Santos Lleo (UPM)
  • Director: Maria Jesus Ledesma Carbayo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Departamento: Ingeniería Electrónica
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)