Semi-automated analysis of dynamic changes in myocardial contrast from real-time three-dimensional echocardiographic images as a basis for volumetric quantification of myocardial perfusion | Zendy

Federico Veronesi | Zendy; Enrico G. Caiani | Zendy; E. Toledo | Zendy; Cristiana Corsi | Zendy; Karen A. Collins | Zendy; Georgeanne Lammertin | Zendy; C. Lamberti | Zendy; RM Lang | Zendy; Victor MorAvi | Zendy

Open Access

Semi-automated analysis of dynamic changes in myocardial contrast from real-time three-dimensional echocardiographic images as a basis for volumetric quantification of myocardial perfusion

Author(s) -

Federico Veronesi,

Enrico G. Caiani,

E. Toledo,

Cristiana Corsi,

Karen A. Collins,

Georgeanne Lammertin,

C. Lamberti,

RM Lang,

Victor MorAvi

Publication year - 2008

Publication title -

european journal of echocardiography

Language(s) - English

Resource type - Journals

eISSN - 1525-2167

pISSN - 1532-2114

DOI - 10.1093/ejechocard/jen209

Subject(s) - medicine , perfusion , contrast (vision) , translation (biology) , myocardial perfusion imaging , region of interest , nuclear medicine , radiology , artificial intelligence , biomedical engineering , computer science , biochemistry , chemistry , messenger rna , gene

Despite the potential of real-time three-dimensional (3D) echocardiography (RT3DE) to assess myocardial perfusion, there is no quantification method available for perfusion analysis from RT3DE images. Such method would require 3D regions of interest (ROI) to be defined and adjusted frame-by-frame to compensate for cardiac translation and deformation. Our aims were to develop and test a technique for automated identification of 3D myocardial ROI suitable for translation-free quantification of myocardial videointensity over time, MVI(t), from contrast-enhanced RT3DE images.

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