Observatorio de I+D+i UPM

Descripción
Non-invasive quantitative assessment of the right ventricular anatomical and functional parameters is a challenging task. We present a semi-automatic approach for right ventricle (RV) segmentation from 4D MR images in two variants, which differ in the amount of user interaction. The method consists of three main phases: First, foreground and background markers are generated from the user input. Next, an over-segmented region image is obtained applying a watershed transform. Finally, these regions are merged using 4D graph-cuts with an intensity based boundary term. For the first variant the user outlines the inside of the RV wall in a few end-diastole slices, for the second two marker pixels serve as starting point for a statistical atlas application. Results were obtained by blind evaluation on 16 testing 4D MR volumes. They prove our method to be robust against markers location and place it favourably in the ranks of existing approaches
Internacional	Si
Nombre congreso	Computing in Cardiology 2012
Tipo de participación	960
Lugar del congreso	Krakow (Poland).
Revisores	Si
ISBN o ISSN	2325-8861
DOI
Fecha inicio congreso	09/09/2012
Fecha fin congreso	12/09/2012
Desde la página	697
Hasta la página	700
Título de las actas	Computing in Cardiology 2012

Esta actividad pertenece a memorias de investigación

• Autor: Oskar Maier (UPM)
• Autor: Daniel Jimenez Carretero (UPM)
• Autor: Andres de Santos Lleo (UPM)
• Autor: Maria Jesus Ledesma Carbayo (UPM)

• Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
• Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
• Departamento: Ingeniería Electrónica