scholarly journals Homomorphic wavelet shrinkage and feature emphasis for speckle reduction and enhancement of echocardiographic images

1996 ◽  
Author(s):  
Xuli Zong ◽  
Edward A. Geiser ◽  
Andrew F. Laine ◽  
David C. Wilson
Keyword(s):  
Speckle Reduction ◽  
Wavelet Shrinkage ◽  
Echocardiographic Images

Speckle Reduction of Echocardiograms via Wavelet Shrinkage of Ultrasonic RF Signals

2009 ◽  
pp. 395-398 ◽  
Author(s):  
K. Nakayama ◽  
W. Ohyama ◽  
T. Wakabayashi ◽  
F. Kimura ◽  
S. Tsuruoka ◽  
...  
Keyword(s):  
Speckle Reduction ◽  
Wavelet Shrinkage ◽  
Rf Signals

scholarly journals Quantitative effects of speckle reduction on cross sectional echocardiographic images.

Heart ◽  
1989 ◽  
Vol 62 (4) ◽  
pp. 298-304 ◽  
Author(s):  
R J Massay ◽  
R B Logan-Sinclair ◽  
J C Bamber ◽  
D G Gibson
Keyword(s):  
Speckle Reduction ◽  
Cross Sectional ◽  
Echocardiographic Images

scholarly journals Learning Shape Representations for Multi-Atlas Endocardium Segmentation in 3D Echo Images

2014 ◽  
Author(s):  
Ozan Oktay ◽  
Wenzhe Shi ◽  
Kevin Keraudren ◽  
Jose Caballero ◽  
Daniel Rueckert
Keyword(s):  
State Of The Art ◽  
Shape Representation ◽  
Speckle Reduction ◽  
Reduction Step ◽  
Shape Information ◽  
Shape Representations ◽  
Segmentation Framework ◽  
Echocardiographic Images ◽  
Atlas Segmentation ◽  
First Time

As part of the CETUS challenge, we present a multi-atlas segmentation framework to delineate the left-ventricle endocardium in echocardiographic images. To increase the robustness of the registration step, we introduce a speckle reduction step and a new shape representation based on sparse coding and manifold approximation in dictionary space. The shape representation, unlike intensity values, provides consistent shape information across different images. The validation results on the test set show that registration based on our shape representation significantly improves the performance of multi-atlas segmentation compared to intensity based registration. To our knowledge it is the first time that multi-atlas segmentation achieves state-of-the-art results for echocardiographic images.

scholarly journals Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Nagashettappa Biradar ◽  
M. L. Dewal ◽  
Manoj Kumar Rohit
Keyword(s):  
Moving Average ◽  
Wiener Filter ◽  
Iteration Process ◽  
Speckle Noise ◽  
Speckle Reduction ◽  
Nonlocal Means ◽  
Anisotropic Diffusion Filters ◽  
Echocardiographic Images ◽  
Visual Reading ◽  
Fuzzy Filters

Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration process. The performance of geometric-wiener filter is further enhanced using fuzzy filters and the proposed despeckling techniques are called integrated fuzzy filters. Fuzzy filters based on moving average and median value are employed in the integrated fuzzy filters. The performances of integrated fuzzy filters are tested on echocardiographic images and synthetic images in terms of image quality metrics. It is observed that the performance parameters are highest in case of integrated fuzzy filters in comparison to fuzzy and geometric-fuzzy filters. The clinical validation reveals that the output images obtained using geometric-wiener, integrated fuzzy, nonlocal means, and details preserving anisotropic diffusion filters are acceptable. The necessary finer details are retained in the denoised echocardiographic images.

Analysis of B-Scan Speckle Reduction by Resolution Limited Filtering

1982 ◽  
Vol 4 (2) ◽  
pp. 108-125 ◽  
Author(s):  
Dennis L. Parker ◽  
T. Allan Pryor
Keyword(s):  
Spatial Frequency ◽  
Signal To Noise Ratio ◽  
Speckle Reduction ◽  
Ultrasound Images ◽  
Resolution Limit ◽  
Signal To Noise ◽  
Pulse Envelope ◽  
Signal Energy ◽  
Time Motion ◽  
Echocardiographic Images

Much of the signal energy due to speckle in ultrasound images is shown to be of higher spatial frequency than the intrinsic pulse shape limited resolution in B-scan ultrasound images. A significant increase in signal to noise ratio can therefore be obtained by resolution limited spatial filtering which selectively removes energy of higher spatial frequency than the pulse envelope resolution limit. The concept is illustrated by resolution limited filtering ECG gated B-scan echocardiographic images. Signal to noise improvement is illustrated by comparing time-motion displays generated from both processed and unprocessed images.

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