The combined effect of spatial compounding and nonlinear filtering on the speckle reduction in ultrasound images

Longitudinal Strain and Torsion Assessed by Two-Dimensional Speckle Tracking Correlate with the Serum Level of Tissue Inhibitor of Matrix Metalloproteinase-1, a Marker of Myocardial Fibrosis, in Patients with Hypertension

“…Thus, it has been suggested as a promising method for evaluating the radial and circumferential strain as well as the longitudinal strains. 10,11,[17][18][19][20] In our study, 2-dimensional longitudinal was significantly decreased in patients with hypertension. However, DTI velocity was not impaired in the patient group, which was inconsistent with that of previous results.…”

Speckle Reduction in Echocardiography: Trends and Perceptions

“…Aa simulation study comparing postacquisition filters to spatial compounding reported better image improvement for filtering, in terms of speckle reduction and image quality (Adam et al, 2006). The number of postacquisition speckle reduction methods in the literature is large, and the selection detailed here are grouped according to their general approach.…”

Contour segmentation in 2D ultrasound medical images with particle filtering

“…A fundamental requirement of the noise filtering method is to preserve the important information for object boundaries [10]. A non-linear Gaussian filter, performing edge preserving diffusion has been adopted from [3,5]. The processed ultrasound images have been smoothed by a filter chain with three stages and initial parameters σ x = 1.0 and σ z = 0.25.…”

“…For example, the authors of [10] suggest stepped anisotropic diffusion filtering, stick method and automatic thresholding, based on the thresholddetermination algorithm of Otsu [29]. In our approach, a non-linear Gaussian filter, performing edge preserving diffusion is applied [3,5].…”

“…Acknowledgements The authors are thankful Prof. Behar [3] for recommending us the Gaussian filter, for her MATLAB implementation and valuable discussions. The authors are also grateful to the colleagues Dr. P. Konstantinova and Dr. M. Nikolov for providing us with the simulated images.…”