A 3-D anisotropic diffusion filter for speckle reduction in 3-D ultrasound images

2009 ◽  
Author(s):  
Jinshan Tang ◽  
Qingling Sun
Keyword(s):  
Anisotropic Diffusion ◽  
Speckle Reduction ◽  
Ultrasound Images ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter

Speckle Suppressing Improved Oriented Speckle Reducing Anisotropic Diffusion (IOSRAD) Filter for Medical Ultrasound Images

2014 ◽  
Vol 626 ◽  
pp. 106-110
Author(s):  
Jemila R. Rose ◽  
S. Allwin
Keyword(s):  
Anisotropic Diffusion ◽  
Imaging System ◽  
Speckle Noise ◽  
Quality Metrics ◽  
Speckle Reduction ◽  
Ultrasound Images ◽  
Optimal Method ◽  
Anisotropic Diffusion Filter ◽  
Image Edges ◽  
Speed Accuracy

— Ultrasound imaging is the most commonly used imaging system in medical field. Main problem related to this imaging technique is introduction of speckle noise, thus making the image unclear. The success of ultrasonic examination depends on the image quality which is usually retarded due to speckle noise. There have been several techniques for effective suppression of speckle noise present in ultrasound images. The filtering techniques considered include anisotropic diffusion, wavelet de-noising, and local statistics. Comparison of the filters is based on their application of objective quality metrics, which quantifies the preservation of image edges, overall image distortion, and improvement in image contrast. The computational analysis quantifies the number of operations required for each speckle reduction method. A speed-accuracy analysis of various methods for anisotropic diffusion is included. It is concluded that the optimal method is the OSRAD (Oriented Speckle Reducing Anisotropic Diffusion) filter. The proposed approach technique deals with an improved OSRAD filter which gives an efficient result other than the previous filters by analysing the quality metrics.

Speckle Based Anisotropic Diffusion Filter for Ultrasound Images

2020 ◽  
pp. 421-429
Author(s):  
P. Siva Kalyani ◽  
S. Nazeer Hussain ◽  
N. Vishnu Teja ◽  
S. Younus Hussain ◽  
B. Amarnatha Reddy
Keyword(s):  
Anisotropic Diffusion ◽  
Ultrasound Images ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter

Enhancing obstetric and gynecology ultrasound images by adaptation of the speckle reducing anisotropic diffusion filter

2008 ◽  
Vol 43 (3) ◽  
pp. 223-242 ◽  
Author(s):  
Cristian Munteanu ◽  
Francisco Cabrera Morales ◽  
Javier González Fernández ◽  
Agostinho Rosa ◽  
Luís Gómez Déniz
Keyword(s):  
Anisotropic Diffusion ◽  
Ultrasound Images ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter

scholarly journals Anisotropic Diffusion Filter With Memory Based on Speckle Statistics for Ultrasound Images

2015 ◽  
Vol 24 (1) ◽  
pp. 345-358 ◽  
Author(s):  
Gabriel Ramos-Llorden ◽  
Gonzalo Vegas-Sanchez-Ferrero ◽  
Marcos Martin-Fernandez ◽  
Carlos Alberola-Lopez ◽  
Santiago Aja-Fernandez
Keyword(s):  
Anisotropic Diffusion ◽  
Ultrasound Images ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter ◽  
With Memory

scholarly journals Speckle Reduction by Directional Coherent Anisotropic Diffusion

2019 ◽  
Vol 11 (23) ◽  
pp. 2768
Author(s):  
Guo Zhang ◽  
Fengcheng Guo ◽  
Qingjun Zhang ◽  
Kai Xu ◽  
Peng Jia ◽  
...  
Keyword(s):  
Edge Detection ◽  
Anisotropic Diffusion ◽  
Speckle Reduction ◽  
Simulated Image ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter ◽  
Radar Images ◽  
Inaccurate Estimation ◽  
Series Of Experiments ◽  
Diffusion Function

To effectively balance speckle smoothing and preservation of edges and radiation, a novel anisotropic diffusion filter was developed that uses a directional coherent coefficient. The proposed filter effectively improves the edge detection operator of a traditional anisotropic diffusion filter. The new edge detection operator calculates 16 direction coherence coefficients to avoid the interference of the edge direction. For the diffusion function, the proposed method directly uses the detected directional coherent edge as the diffusion coefficient, which simplifies the calculation of the diffusion function and avoids the adverse effects of inaccurate estimation of the diffusion function threshold for a traditional anisotropic diffusion filter. The influence of the number of iterations and time steps on the proposed filter was analyzed. A series of experiments was conducted with a simulated image and three real synthetic-aperture radar images from different sensors. The results confirmed that the proposed method not only significantly reduces speckle but also effectively preserves the edge and radiation information of images.

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