Determination of an optimal image frame interval for frame-to-frame ultrasound image motion tracking

Ha, J.S.; Walker, William F.; Hossack, John A.

doi:10.1109/tuffc.2005.1417261

Cited by 17 publications

(8 citation statements)

References 30 publications

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“…[10][11][12][13][14][15][16][17][18] Also preliminary results of the first application of three-dimensional speckle tracking in fetal echocardiography were published by Enzensberger et al 19 recently. 24 Frame rates of acquired video loops in published studies on speckle tracking-derived strain measurements show a huge variation. 16,[20][21][22] Vendor-dependent speckle tracking imaging is usually based on grayscale B-mode images of endocardial and/or epicardial borders.…”

Section: Introductionmentioning

confidence: 99%

Wall‐motion tracking in fetal echocardiography—Influence of frame rate on longitudinal strain analysis assessed by two‐dimensional speckle tracking

et al. 2017

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Section: Introductionmentioning

confidence: 99%

Wall‐motion tracking in fetal echocardiography—Influence of frame rate on longitudinal strain analysis assessed by two‐dimensional speckle tracking

et al. 2017

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“…For example, we used 2D image tracking method whereas the heart undergoes complex 3D motion. Our current tracking method does not track out-of-plane motion, so any out-of-plane motion results in speckle decorrelation that degrades 2D tracking within the image plane (Ha 2005). Image noise and uncorrected motion artifacts are also sources of tracking error.…”

Section: Resultsmentioning

confidence: 99%

High Frequency Ultrasound Imaging Detects Cardiac Dyssynchrony in Noninfarcted Regions of the Murine Left Ventricle Late After Reperfused Myocardial Infarction

Garson

et al. 2008

Ultrasound in Medicine & Biology

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Cardiac dyssynchrony in the left ventricles of murine hearts late (>= 28 days) after reperfused myocardial infarction (post-MI) was assessed using high frequency 30 MHz B-mode ultrasound imaging. Nine post-MI and six normal C57Bl/6 mice were studied in both short-and long-axis views. Regional time to peak displacement (T peak_d ) and time to peak strain (T peak_s ) were calculated in 36 sectors along the myocardial circumference; then their standard deviations (SD_T peak_d and SD_T peak_s ) were computed among non-infarcted myocardial regions for each mouse, and were compared between the normal and post-MI mouse groups with Student's t test. The comparison revealed that SD_T peak_d and SD_T peak_s were significantly larger in the post-MI hearts than in the normal hearts. The displacement uniformity ratio was determined to be 0.97±0.01 and 0.85±0.07 for radial and circumferential displacements in the normal hearts, respectively; and 0.59±0.17 and 0.64 ±0.24 in the post-MI hearts. In conclusion, this high resolution ultrasound image tracking method provides for the detection of cardiac dyssynchrony in the non-infarcted regions in the murine left ventricles late after MI by identifying the temporal and spatial disparity of regional myocardial contraction.

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“…Thus, in order to reduce the Speckle decorrelation noise to a reasonably small level, a certain minimal number of frames per heart cycle is required [33]. It is also intuitively evident that too small of frame rate may induce jitters while too big of a ROS may introduce peakhopping errors.…”

mentioning

confidence: 99%

Optimization-Based Speckle Tracking Algorithm for Left Ventricle Strain Estimation: A Feasibility Study

Khamis

Shimoni

Hagendorff

et al. 2016

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Speckle tracking echocardiography (STE) is a widespread method for calculating myocardial strains and estimating left ventricle function. Since echocardiographic clips are corrupted by speckle decorrelation noise, resulting in irregular, nonphysiological tissue displacement fields, smoothing is performed on the displacement data, affecting the strain results. Thus, strain results may depend on the specific implementations of 2-D STE, as well as other systems' characteristics of the various vendors. A novel algorithm (called K-SAD) is introduced, which integrates the physiological constraint of smoothness of the displacement field into an optimization process. Simulated B-mode clips, modeling healthy and abnormal cases, were processed by K-SAD. Peak global and subendocardial longitudinal strains, as well as regional strains, were calculated. In addition, 410 healthy subjects were also processed. The results of K-SAD are compared with those of one of the leading commercial product. K-SAD provides global mid-wall strain values, as well as subendocardial and regional strain values, all in good agreement with the ground-truth-simulated phantom data. K-SAD peak global longitudinal systolic strain values for 410 healthy subjects are quite similar for the different regions: - 17.02 ± 4.02%, - 19.00 ± 3.45%, and - 19.72 ± 5.06% at the basal, mid, and apical regions, respectively. Improved performance under noisy conditions was demonstrated by comparing a subgroup of 40 subjects with the best image quality with the remaining 370 cohort: K-SAD provides statistically similar global and regional results for the two cohorts. Our study indicates that the sensitivity of strain values to speckle noise, caused by the post block-matching weighted smoothing, can be significantly reduced and accuracy enhanced by employing an integrated one-stage, physiologically constrained optimization process.

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Determination of an optimal image frame interval for frame-to-frame ultrasound image motion tracking

Cited by 17 publications

References 30 publications

Wall‐motion tracking in fetal echocardiography—Influence of frame rate on longitudinal strain analysis assessed by two‐dimensional speckle tracking

Wall‐motion tracking in fetal echocardiography—Influence of frame rate on longitudinal strain analysis assessed by two‐dimensional speckle tracking

High Frequency Ultrasound Imaging Detects Cardiac Dyssynchrony in Noninfarcted Regions of the Murine Left Ventricle Late After Reperfused Myocardial Infarction

Optimization-Based Speckle Tracking Algorithm for Left Ventricle Strain Estimation: A Feasibility Study

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