A study of ultrasound images enhancement using adaptive speckle reducing anisotropic diffusion

Yoo, Byeongcheol; Nishimura, Toshihiro

doi:10.1109/isie.2009.5213936

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…The method was compared with hard threshold and soft threshold, in which it earned high SNR values. Yoo et al [24] proposed the modified Speckle Reducing Anisotropic Diffusion (SRAD) to reduce the speckle noise in US natural image. The method is compared with Median, Kaun, Perona and Input Image…”

Section: Methodsmentioning

confidence: 99%

Despeckleing Prostate Ultrasonograms Using Pde With Wavelet

Ramesh¹,

Manavalan²

2018

IJIVP

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Prostate cancer is the leading cause of death for men, since the cause of the disease is mysterious and its early detection is also monotonous. Ultrasound (US) is the most popular tool to detect the human organ glands and also used to diagnose the prostate cancer. Speckle noise is an inherent nature of ultrasound images, which degrades the image quality. So far, No specific filter is available to suppress the speckle noise in prostate image. In this paper, a novel despeckling method PDE with Wavelet is presented for prostate US images. The enhancement method is evaluated by using standard measures like Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR) and Edge Preservation Index (EPI). Further, the despeckling approaches' is also evaluated time and space complexity. From the results, it is observed that the filtering method PDE with Wavelet is superior to PDE in terms of denoising and also preserving the information content.

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Section: Methodsmentioning

confidence: 99%

Despeckleing Prostate Ultrasonograms Using Pde With Wavelet

Ramesh¹,

Manavalan²

2018

IJIVP

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“…An Anisotropic diffusion performs contrast enhancement and noise reduction without requiring the power spectrum information of the image [8] [16]. Speckle Reducing Anisotropic Diffusion (SRAD) [9] [13] filter eliminates speckle without distorting and destroying useful image information and the important image edges [17] respectively.…”

Section: B Other Ultrasound Despeckle Filtersmentioning

confidence: 99%

Real-time Parallelized Hybrid Median Filter for speckle removal in ultrasound images

Ayoubi

Bayoumi

Ayoubi

2014

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

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Medical Imaging has historically been very successful to expose the patient's anatomy beyond external visibility; thus, allowing more efficient and accurate treatments. The field of medicine continues to search for new techniques in order to increase accuracy, reduce complications, enable real-time feedback, allow early detection and reduce human errors. Various medical imaging techniques exist but suffer from multiple correlated noise or performance that hinders real-time application; ie, ultrasounds. Our contribution attempts to solve both of these problems efficiently to be enable real-time procedures Our work is based on the hybrid median filter. We implemented Parallelized Hybrid Median Filter on FPGA Virtex6 in order to be able to exploit parallelism and real-time capabilities. We were able to get the desirable visual results for experts at 382MHz frequency with 150µs completion time for full 512x512 ultrasound image to complete despeckle.

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“…1) SRAD filter: Speckle Reducing Anisotropic Diffusion (SRAD) [27] filter eliminates speckle without distorting and destroying useful image information and important image edges [28], respectively. The SRAD exploits the instantaneous coefficient variation in reducing the speckle.…”

Section: Diffusion Filteringmentioning

confidence: 99%

“…To quantify the performance of the Despeckle filter algorithm in terms of the efficiency of speckle noise reduction and enhancing the useful image information, the following established performance metrics found in the literatures [27] [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46] are calculated in this study and their mathematical expression, significance, etc are given in Table I…”

Section: Parameters/metrics For Analyzing Despeckle Filter Perfomentioning

confidence: 99%

Speckle Filtering of Ultrasound B-Scan Images- A Comparative Study of Single Scale Spatial Adaptive Filters, Multiscale Filter and Diffusion Filters

Sivakumar¹,

Gayathri²,

Nedumaran³

2010

IJET

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This paper presents a comparative study of among one Multi Scale filter (wavelet), nine single scale spatial adaptive filters (viz., Frost, Enhanced Frost, Median, Lee, Enhanced Lee, Kuan, Gamma Map, Wiener, Homomorphic speckle filters) and two Diffusion filters (viz., Speckle Reduction Anisotropic Diffusion (SRAD), Perona Malik Anistropic Diffusion (PMAD)) that are widely used for speckle noise reduction in biomedical ultrasound B-Scan images. The main objective of this study is to identify the efficient and optimum speckle filter in terms of preserving the edge details of the images with effective denoising. The performance of the filters are best estimated by calculating twenty-one established performance metrics along with execution time in order to determine the effective and optimum-despeckling algorithm for real time implementation. To do this, we have developed a cumulative speckle reduction (CSR) algorithm in the MATLAB environment, which performs all despeckle filtering functions as well as performance metrics calculation in a single trial. In the case of diffusion filter implementation, provision is given to execute the diffusion filter for several trials to identify the best iteration in terms of denoising the speckle and preserving the diagnostic information found in the B-scan images. The algorithm has been experimented with more than 200 digital ultrasound B-scan images of kidney, abdomen, liver and choroids. Based on the visual inspection of the despeckled images and the calculation of the performance metrics, it is found that SRAD and Wavelet despeckling filters are exhibiting fairly well performance over the other standard spatial filters.

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A study of ultrasound images enhancement using adaptive speckle reducing anisotropic diffusion

Cited by 8 publications

References 15 publications

Despeckleing Prostate Ultrasonograms Using Pde With Wavelet

Despeckleing Prostate Ultrasonograms Using Pde With Wavelet

Real-time Parallelized Hybrid Median Filter for speckle removal in ultrasound images

Speckle Filtering of Ultrasound B-Scan Images- A Comparative Study of Single Scale Spatial Adaptive Filters, Multiscale Filter and Diffusion Filters

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