The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals

Behar, V.; Adam, Dan; Lysyansky, Peter; Friedman, Zvi

doi:10.1016/j.ultras.2003.09.003

Cited by 45 publications

(31 citation statements)

References 13 publications

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“…21 Further, speckle-trackingderived LVGLS is independent of geometric assumptions and insonation angle and has relatively low intraobserver and interobserver variability. 22 Because of these inherent advantages compared with other echocardiographic modalities, several recent studies have investigated the role of LVGLS measurement as a marker of infarct size, whether measured in the acute phase after revascularization 9,10,23 or at followup.…”

Section: Lvgls As a Marker Of Infarct Sizementioning

confidence: 98%

Association Between Left Ventricular Global Longitudinal Strain and Adverse Left Ventricular Dilatation After ST-Segment–Elevation Myocardial Infarction

Joyce

Hoogslag

Leong

et al. 2014

Circ: Cardiovascular Imaging

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Background-Myocardial infarct size is a major determinant of left ventricular (LV) remodeling after ST-segment-elevation myocardial infarction. We evaluated whether LV global longitudinal strain (GLS), proposed as a novel marker of infarct size, is associated with 3-and 6-month LV dilatation after ST-segment-elevation myocardial infarction. Methods and Results-In the first ST-segment-elevation myocardial infarction patients treated with primary percutaneous coronary intervention, baseline LVGLS was measured with 2-dimensional speckle-tracking echocardiography.Patients were dichotomized according to median value. The independent relationship between GLS groups and LV end-diastolic volume at 3 and 6 months (adjusted for clinical and echocardiographic variables) was assessed.

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Section: Lvgls As a Marker Of Infarct Sizementioning

confidence: 98%

Association Between Left Ventricular Global Longitudinal Strain and Adverse Left Ventricular Dilatation After ST-Segment–Elevation Myocardial Infarction

Joyce

Hoogslag

Leong

et al. 2014

Circ: Cardiovascular Imaging

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“…First, an identity measure, the sum of squared differences (SSD) of normalized intensities, as seen in (1) ref is the reference block from the previous frame, tar the target block in the current frame, and n the number of voxels in a block. A linear measure, the inverse Pearson correlation coefficient (PCC), is proposed in (2) and a statistical measure, based on maximum likelihood (MLE), introduced in (Cohen and Dinstein, 2002) and refined in (Boukerroui et al, 2003), is presented in (3) An overview of intensity similarity measures can be found in . For our data, SSD does not cope with relative intensity.…”

Section: Block Matchingmentioning

confidence: 99%

“…In cardiac images, velocities can vary considerably between frames, which makes the estimation of a filter bandwidth difficult. A comparative review of optical flow methods can be found in (Behar et al, 2004). …”

Section: Optical Flowmentioning

confidence: 99%

“…They could be separated into two main classes: tracking and segmentation. Block matching is fast and simple (Behar et al, 2004), but estimates velocities at low level and lacks robustness. Optical flow has higher sensitivity and specificity, but is very slow and must find a good compromise between local and global displacements (Boukerroui et al, 2003;Duan et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

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Fast block flow tracking of atrial septal defects in 4D echocardiography

Linguraru

Vasilyev

Marx

et al. 2008

Medical Image Analysis

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We are working to develop beating-heart atrial septal defect (ASD) closure techniques using realtime 3D ultrasound guidance. The major image processing challenges are the low image quality and the processing of information at high frame rate. This paper presents comparative results for ASD tracking in time sequences of 3D volumes of cardiac ultrasound. We introduce a block flow technique, which combines the velocity computation from optical flow for an entire block with template matching. Enforcing adapted similarity constraints to both the previous and first frames ensures optimal and unique solutions. We compare the performance of the proposed algorithm with that of block matching and region-based optical flow on eight in-vivo 4D datasets acquired from porcine beating-heart procedures. Results show that our technique is more stable and has higher sensitivity than both optical flow and block matching in tracking ASDs. Computing velocity at the block level, our technique tracks ASD motion at 2 frames/s, much faster than optical flow and comparable in computation cost to block matching, and shows promise for real-time (30 frames/s). We report consistent results on clinical intra-operative images and retrieve the cardiac cycle (in ungated images) from error analysis. Quantitative results are evaluated on synthetic data with maximum tracking errors of 1 voxel.

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“…Recently, a different www.intechopen.com Echocardiography -New Techniques 4 approach was suggested (Rappaport et al 2006), also based on tracking of speckles (reflectors) in B-mode grayscale image sequences, which was reliable and efficient enough to be implemented in commercial systems. It suggested using an Acoustic Tagging method, which defines specific points that are being tracked over the time and finally the velocity in each Tracking Point (TP) is calculated (Behar et al 2004). Acoustic Tagging is mimicking the idea used in tagged MRI, and the application of tagging for strain measurements.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Regional Longitudinal Stain by Using Speckle Tracking Echocardiography – A Validation Study

Nili¹,

Bachner-Hinenzon²,

Meytal³

et al. 2012

Echocardiography - New Techniques

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The combined effect of nonlinear filtration and window size on the accuracy of tissue displacement estimation using detected echo signals

Cited by 45 publications

References 13 publications

Association Between Left Ventricular Global Longitudinal Strain and Adverse Left Ventricular Dilatation After ST-Segment–Elevation Myocardial Infarction

Association Between Left Ventricular Global Longitudinal Strain and Adverse Left Ventricular Dilatation After ST-Segment–Elevation Myocardial Infarction

Fast block flow tracking of atrial septal defects in 4D echocardiography

Assessment of Regional Longitudinal Stain by Using Speckle Tracking Echocardiography – A Validation Study

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