Towards a Comprehensive Evaluation of Ultrasound Speckle Reduction

Monteiro, Fernando C.; Rufino, José; Cadavez, Vasco

doi:10.1007/978-3-319-11758-4_16

Cited by 2 publications

(5 citation statements)

References 22 publications

(18 reference statements)

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“…Usually, techniques of image enhancement and speckle noise reduction are applied on B-mode ultrasound image [2], after the RF data goes through the phases mentioned previously.…”

Section: Radio-frequency Filtering Methodsmentioning

confidence: 99%

“…Ultrasound imaging is one of the most important and cheapest instrument used for diagnostic purpose. However, the images obtained through this type of examination presents a characteristic noise type, known as speckle noise, which makes it difficult to analyse and diagnose [1,2,3]. Speckle noise is defined as multiplicative noise with a granular pattern formed due to coherent processing of backscattered signals from multiple distributed targets.…”

Section: Introductionmentioning

confidence: 99%

“…Over the last decades, several despeckling filters have been developed to reduce the speckle noise inherently present in ultrasound images without losing the diagnostic information. Image filtering techniques include adaptive filters, anisotropic diffusion and wavelets [2]. However, it is important to refer that the majority of the methods are applied to the B-mode images without taking advantage of the process used to obtaining these images from the RF data.…”

Section: Introductionmentioning

confidence: 99%

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Ultrasound Speckle Noise Reduction by Radio-Frequency Data Filtering

Santo

Monteiro

2019

VipIMAGE 2019

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Ultrasound is a commonly used imaging modality for the examination of several pathologies due to its non-invasiveness, affordability and easiness of use. However, ultrasound images are degraded by an intrinsic artefact called 'speckle', which is the result of the constructive and destructive coherent summation of the ultrasound echoes. This paper aims to generate B-mode images out of radio-frequency (RF) data following standard procedures, a series of steps such as envelope detection, log-compression and scan conversion. Some low pass filters will be applied to RF data in order to achieve B-mode images with high quality by speckle noise reduction.

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“…Usually, techniques of image enhancement and speckle noise reduction are applied on B-mode ultrasound image [2], after the RF data goes through the phases mentioned previously.…”

Section: Radio-frequency Filtering Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ultrasound Speckle Noise Reduction by Radio-Frequency Data Filtering

Santo

Monteiro

2019

VipIMAGE 2019

Self Cite

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“…In the literature, various techniques were used to improve the despeckling in ultrasound images. 5 Image speckle is a noise that arises during the analysis of an image by coherent sources, and noncoherent detector, which is uneven based on the rate of wavelength. Generally, speckles occur in the kidney images and liver images whose tiny configurations to be determined through higher wavelength ultrasound.…”

Section: Introductionmentioning

confidence: 99%

“…Removing useless information from the original image is a difficult task in image handling. In the literature, various techniques were used to improve the despeckling in ultrasound images 5 . Image speckle is a noise that arises during the analysis of an image by coherent sources, and noncoherent detector, which is uneven based on the rate of wavelength.…”

Section: Introductionmentioning

confidence: 99%

Nonsubsampled contourlet transform with cross‐guided bilateral filter for despeckling of medical ultrasound images

Joel¹,

Rajagopal²

2020

Int J Imaging Syst Tech

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This paper aims to enhance the image quality in ultrasound images. The significant difficulties in the ultrasound image are the presence of speckle noise. Speckle is the granular noise, and this kind of noise produces a lot of challenges during medical diagnosis. Also, these kinds of problems degrade image quality. The proposed work overcomes this kind of issue with nonsubsampled contourlet domain‐based cross‐guided bilateral filtering. Initially, additive speckle noise is introduced with the log‐transformed Rayleigh distribution. This additive speckle noise component is to be decomposed through the non‐subsampled contourlet domain transform. Then the decomposed image is despeckled by the cross‐guided bilateral filter, and the cost function of this filter is minimized through adaptive galactic swarm optimization. The proposed filtering technique despeckles the additive noise in the noisy image. Finally, the decomposed image is reconstructed using the inverse transform of the nonsubsampled decomposition. The implementation of the proposed methodology is carried out in MATLAB simulation platform. Also, the performance of the proposed work is measured by few metrics such as structural similarity index matrix, mean structural similarity index matrix, mean square error, peak signal to noise ratio, Bhattacharyya coefficient, and speckle index. The result of cost function optimization provides less distortion when compared to other techniques.

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Towards a Comprehensive Evaluation of Ultrasound Speckle Reduction

Cited by 2 publications

References 22 publications

Ultrasound Speckle Noise Reduction by Radio-Frequency Data Filtering

Ultrasound Speckle Noise Reduction by Radio-Frequency Data Filtering

Nonsubsampled contourlet transform with cross‐guided bilateral filter for despeckling of medical ultrasound images

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