@InProceedings{AuraHernandez-Sabate2008,
author="Aura Hernandez-Sabate
and David Rotger
and Debora Gil",
title="Image-based ECG sampling of IVUS sequences",
booktitle="Proc. IEEE Ultrasonics Symp. IUS 2008",
year="2008",
pages="1330--1333",
optkeywords="Longitudinal Motion",
optkeywords="Image-based ECG-gating",
optkeywords="Fourier analysis",
abstract="Longitudinal motion artifacts in IntraVascular UltraSound (IVUS) sequences hinders a properly 3D reconstruction and vessel measurements. Most of current techniques base on the ECG signal to obtain a gated pullback without the longitudinal artifact by using a specific hardware or the ECG signal itself. The potential of IVUS images processing for phase retrieval still remains little explored. In this paper, we present a fast forward image-based algorithm to approach ECG sampling. Inspired on the fact that maximum and minimum lumen areas are related to end-systole and end-diastole, our cardiac phase retrieval is based on the analysis of tissue density of mass along the sequence. The comparison between automatic and manual phase retrieval (0.07 {\textpm} 0.07 mm. of error) encourages a deep validation contrasting with ECG signals.",
optnote="IAM;MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1553), last updated on Fri, 11 Nov 2016 12:12:34 +0100",
doi="10.1109/ULTSYM.2008.0322",
file=":http://refbase.cvc.uab.es/files/HRG2008.pdf:PDF"
}