On 3D tracking for echocardiographic classification of acute myocardial infarction

Author

Braiman, Eyal ; Porat, Moshe

Author_Institution

Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel

fYear

2007

fDate

3-7 Sept. 2007

Firstpage

2494

Lastpage

2498

Abstract

Accurate characterization of acute myocardial infarction (AMI) is crucial for the management of the patient. In this work we present a method for 3-dimensional (3D) velocity estimation and object tracking in sequences of ultrasound volume scans. Velocity estimation is based on motion estimation in 3D with maximum likelihood criteria. Tracking is carried out using a data association method based on location and velocity. The proposed algorithm has been tested on various data sources and on in-vivo 3D volume scan of the left ventricle, providing very useful results for the characterization of AMIs.

Keywords

echocardiography; image sequences; maximum likelihood estimation; medical image processing; object tracking; ultrasonic imaging; 3D tracking; 3D velocity estimation; acute myocardial infarction; data association method; data sources; echocardiographic classification; in-vivo 3D volume scan; left ventricle; maximum likelihood criteria; motion estimation; object tracking; patient management; ultrasound volume scan sequences; Decision support systems; Europe; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2007 15th European

Conference_Location

Poznan

Print_ISBN

978-839-2134-04-6

Type

conf

Filename

7099257