Observatorio de I+D+i UPM

Memorias de investigación
Other publications:
Coronary Artery Tracking in 3D Cardiac CT Images Using Local Morphological Reconstruction Operators
Research Areas
  • Electronics engineering
Automatic segmentation and tracking of the coronary artery tree from Cardiac Multislice-CT images is an important goal to improve the diagnosis and treatment of coronary artery disease. This paper presents a semi-automatic algorithm (one input point per vessel) based on morphological grayscale local reconstructions in 3D images devoted to the extraction of the coronary artery tree. The algorithm has been evaluated in the framework of the Coronary Artery Tracking Challenge 2008 [1], obtaining consistent results in overlap measurements (a mean of 70% of each vessel well tracked). Poor results in accuracy measurements suggest that future work should refine the centerline extraction. The algorithm can be efficiently implemented and its general strategy can be easily extrapolated to a completely automated centerline extraction or to a user interactive vessel extraction.
MIDAS e-Journal. Kitware Inc.
New York, USA
The MIDAS Journal - Grand Challenge Coronary Artery Tracking (MICCAI 2008 Workshop). http://hdl.handle.net/10380/1436
Publication type
Artículo en revista electrónica
  • Participante: Carlos Castro (UPM)
  • Autor: Miguel Angel Luengo Oroz (UPM)
  • Autor: Andres de Santos Lleo (UPM)
  • Autor: Maria Jesus Ledesma Carbayo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Ingeniería Electrónica
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)