@Inbook{JaumeGarcia2004,
author="Jaume Garcia
and Petia Radeva
and Francesc Carreras",
chapter="Combining Spectral and Active Shape methods to Track Tagged MRI",
title="Recent Advances in Artificial Intelligence Research and Development",
year="2004",
publisher="IOS Press",
pages="37--44",
optkeywords="MR",
optkeywords="tagged MR",
optkeywords="ASM",
optkeywords="LV segmentation",
optkeywords="motion estimation.",
abstract="Tagged magnetic resonance is a very usefull and unique tool that provides a complete local and global knowledge of the left ventricle (LV) motion. In this article we introduce a method capable of tracking and segmenting the LV. Spectral methods are applied in order to obtain the so called HARP images which encode information about movement and are the base for LV point-tracking. For segmentation we use Active Shapes (ASM) that model LV shape variation in order to overcome possible local misplacements of the boundary. We finally show experiments on both synthetic and real data which appear to be very promising.",
optnote="IAM;MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1488), last updated on Fri, 11 Nov 2016 12:27:59 +0100",
file=":http://refbase.cvc.uab.es/files/GRC2004.pdf:PDF"
}