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10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97)
Automated Recognition of Cardiac Structures in Echocontrast Perfusion Studies
Maribor, SLOVENIA
March 11-March 13
ISBN: 0-8186-7928-X
ASCII Text
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Paolo Merialdo, Federico Bilotta, Laura Fiorani, Giovanni Ettore Gigante, "Automated Recognition of Cardiac Structures in Echocontrast Perfusion Studies," Computer-Based Medical Systems, IEEE Symposium on, pp. 66, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997.
 
 
BibTex
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@article{ 10.1109/CBMS.1997.596410,
author = {Paolo Merialdo and Federico Bilotta and Laura Fiorani and Giovanni Ettore Gigante},
title = {Automated Recognition of Cardiac Structures in Echocontrast Perfusion Studies},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1997},
issn = {1063-7125},
pages = {66},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596410},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Automated Recognition of Cardiac Structures in Echocontrast Perfusion Studies
SN - 1063-7125
SP
EP
A1 - Paolo Merialdo,
A1 - Federico Bilotta,
A1 - Laura Fiorani,
A1 - Giovanni Ettore Gigante,
PY - 1997
KW - biomedical image processing
KW - echocardiography
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Paolo Merialdo, Universita` di Roma Tre
Federico Bilotta, Universita` di Roma Tre
Laura Fiorani, Universita` di Roma ``La Sapienza''
Giovanni Ettore Gigante, Universita` di Roma ``La Sapienza''
Myocardical perfusion is a crucial information in the clinical evaluation of patients with coronary artery disease. A software tool dedicated to the automated analysis of contrast echocardiographic images for the evaluation of myocardial perfusion is presented in this paper. The system recognizes automatically internal border of the hearth during the transit of an ultrasounds contrast bolus injection and draws Regions of Interest. For each Region of Interest, time intensity curves are derived in order to quantify segmental perfusion.
Index Terms:
biomedical image processing, echocardiography
Citation:
Paolo Merialdo, Federico Bilotta, Laura Fiorani, Giovanni Ettore Gigante, "Automated Recognition of Cardiac Structures in Echocontrast Perfusion Studies," cbms, pp.66, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997
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