3-D Speckle Tracking for Assessment of Regional Left Ventricular Function

Abstract Speckle tracking in 2-D ultrasound images has become an established tool for assessment of left ventricular function. The recent development of ultrasound systems with capability to acquire real-time full volume data of the left ventricle makes it possible to perform speckle tracking in thr...

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Veröffentlicht in:Ultrasound in medicine & biology 2009-03, Vol.35 (3), p.458-471
Hauptverfasser: Crosby, Jonas, Amundsen, Brage H, Hergum, Torbjørn, Remme, Espen W, Langeland, Stian, Torp, Hans
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container_end_page 471
container_issue 3
container_start_page 458
container_title Ultrasound in medicine & biology
container_volume 35
creator Crosby, Jonas
Amundsen, Brage H
Hergum, Torbjørn
Remme, Espen W
Langeland, Stian
Torp, Hans
description Abstract Speckle tracking in 2-D ultrasound images has become an established tool for assessment of left ventricular function. The recent development of ultrasound systems with capability to acquire real-time full volume data of the left ventricle makes it possible to perform speckle tracking in three dimensions, and thereby track the real motion of the myocardium. This paper presents a method for assessing local strain and rotation from 3-D speckle tracking in apical full-volume datasets. The method has been tested on simulated ultrasound data based on a computer model of the left ventricle, and on patients with myocardial infarction. When applied on simulated ultrasound data, the method showed good agreement with strain and rotation traces calculated from the reference motion, and the method was able to capture segmental differences in the deformation pattern, although the magnitudes of strains were systematically lower than the reference strains. When applied on patients, the method demonstrated reduced strain in the infarcted areas. Bulls-eye plots of regional strains showed good correspondence with wall motion scoring based on 2-D apical images, although the dyskinetic and hypokinetic regions were not apparent in all strain components.
doi_str_mv 10.1016/j.ultrasmedbio.2008.09.011
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The recent development of ultrasound systems with capability to acquire real-time full volume data of the left ventricle makes it possible to perform speckle tracking in three dimensions, and thereby track the real motion of the myocardium. This paper presents a method for assessing local strain and rotation from 3-D speckle tracking in apical full-volume datasets. The method has been tested on simulated ultrasound data based on a computer model of the left ventricle, and on patients with myocardial infarction. When applied on simulated ultrasound data, the method showed good agreement with strain and rotation traces calculated from the reference motion, and the method was able to capture segmental differences in the deformation pattern, although the magnitudes of strains were systematically lower than the reference strains. When applied on patients, the method demonstrated reduced strain in the infarcted areas. 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The recent development of ultrasound systems with capability to acquire real-time full volume data of the left ventricle makes it possible to perform speckle tracking in three dimensions, and thereby track the real motion of the myocardium. This paper presents a method for assessing local strain and rotation from 3-D speckle tracking in apical full-volume datasets. The method has been tested on simulated ultrasound data based on a computer model of the left ventricle, and on patients with myocardial infarction. When applied on simulated ultrasound data, the method showed good agreement with strain and rotation traces calculated from the reference motion, and the method was able to capture segmental differences in the deformation pattern, although the magnitudes of strains were systematically lower than the reference strains. When applied on patients, the method demonstrated reduced strain in the infarcted areas. 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subjects Algorithms
Computer Simulation
Echocardiography
Heart Ventricles - diagnostic imaging
Humans
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Left ventricular function
Models, Cardiovascular
Myocardial Infarction - diagnostic imaging
Myocardial Infarction - physiopathology
Radiology
Rotation
Speckle tracking
Ultrasonography
Ventricular Function, Left
title 3-D Speckle Tracking for Assessment of Regional Left Ventricular Function
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