Comparative Study of Different Denoising Filters for Speckle Noise Reduction in Ultrasonic B-Mode Images

Mahmoud, Amira A.; Rabaie, S.El; Taha, Tarek; Zahran, O.; El-Samie, F. E. Abd; Al-Nauimy, W.

doi:10.5815/ijigsp.2013.02.01

Cited by 13 publications

(9 citation statements)

References 14 publications

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“…There is an extensive literature on post-processing images to minimize speckle artifact in ultrasound, OCT and other imaging modalities. [1415] For our images, we found that simple Gaussian filtering (also called Gaussian “blurring”; an approach that minimizes high frequency noise) was sufficient to generate images that were easier to interpret by visual inspection. However, given our high false positive rates, further evaluation of some more sophisticated methods for speckle removal seems warranted in the future.…”

Section: Discussionmentioning

confidence: 99%

Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens

Jain

Narula

Salamoon

et al. 2013

Journal of Pathology Informatics

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Background:Full-field optical coherence tomography (FFOCT) is a real-time imaging technique that generates high-resolution three-dimensional tomographic images from unprocessed and unstained tissues. Lack of tissue processing and associated artifacts, along with the ability to generate large-field images quickly, warrants its exploration as an alternative diagnostic tool.Materials and Methods:One section each from the tumor and from adjacent non-neoplastic tissue was collected from 13 human lobectomy specimens. They were imaged fresh with FFOCT and then submitted for routine histopathology. Two blinded pathologists independently rendered diagnoses based on FFOCT images.Results:Normal lung architecture (alveoli, bronchi, pleura and blood vessels) was readily identified with FFOCT. Using FFOCT images alone, the study pathologists were able to correctly identify all tumor specimens and in many cases, the histological subtype of tumor (e.g., adenocarcinomas with various patterns). However, benign diagnosis was provided with high confidence in roughly half the tumor-free specimens (others were diagnosed as equivocal or false positive). Further analysis of these images revealed two major confounding features: (a) Extensive lung collapse and (b) presence of smoker's macrophages. On a closer inspection, however, the smoker's macrophages could often be identified as distinct from tumor cells based on their relative location in the alveoli, size and presence of anthracosis. We posit that greater pathologist experience, complemented with morphometric analysis and color-coding of image components, may help minimize the contribution of these confounders in the future.Conclusion:Our study provides evidence for the potential utility of FFOCT in identifying and differentiating lung tumors from non-neoplastic lung tissue. We foresee its potential as an adjunct to intra-surgical frozen section analysis for margin assessment, especially in limited lung resections.

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Section: Discussionmentioning

confidence: 99%

Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens

Jain

Narula

Salamoon

et al. 2013

Journal of Pathology Informatics

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“…Several speckle reduction methods have been proposed [2][3][4][5]. Filtering techniques are usually used to reduce speckle in ultrasound images, such as Wiener filter, Mean filter, Lee filter, Kuan filter and Bilateral filter etc.…”

Section: Introductionmentioning

confidence: 99%

Pyramid based multiscale anisotropic diffusion filter for ultrasound image despeckling

Liu

Feng

Shen

et al. 2014

2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

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The ultrasound image is significantly degrade by the coherence speckle. A pyramid based multiscale anisotropic diffusion filter is proposed for medical B-mode ultrasound image despeckling. In the Laplacian pyramid domain, according to the different bandpass ultrasound image characteristics in each layer, the anisotropic diffusion filter is adaptively performed to suppress the speckle. For the anisotropic diffusion, the speckle scale function is estimated in the homogeneous area in each layer and the number of iteration is automatically determined by the Mean Absolute Error (MAE). The performance of the proposed method has been compared with that of other state-of-the-art methods, including the speckle reducing anisotropic diffusion, the nonlinear coherence enhance diffusion and the nonlocal means filter. The preliminary results of both simulated images and real ultrasound B-mode images indicate that the proposed method could effectively remove the speckle while preserving the edge and details.

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“…Smoothing is carried out depending on the edges and their directions in the image. SRAD use a coefficient of variation pointing to the minimum of the cost function [22]. SRAD iteratively process the noisy image with adaptive weighting filters.…”

Section: Partial Differential Equation Based Filtersmentioning

confidence: 99%

A Relook and Renovation over State-of-Art Salt and Pepper Noise Removal Techniques

Lal¹,

Kaur²,

Gupta³

2015

IJIGSP

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Abstract-Speckle is a multiplicative noise that degrades the quality of ultrasound images and its presence makes the visual inspection difficult. In addition, it limits the professional application of image processing techniques such as automatic lesion segmentation. So speckle reduction is an essential step before further processing of ultrasonic images. Numerous techniques have been developed to preserve the edges while reducing speckle noise, but these filters avoid smoothing near the edges to preserve fine details. The objective of this work is to suggest a new technique that enhances B-Scan breast ultrasound images by increasing the speckle reduction capability of an edge sensitive filter. In the proposed technique a local statics based filter is applied in the non homogeneous regions, on the output of an edge preserving filter and an edge map is used to retain the original edges. Experiments are conducted using synthetic test image and real time ultrasound images. The effectiveness of the proposed technique is evaluated qualitatively by experts and quantitatively in terms of various quality metrics. Results indicate that proposed method can reduce more noise and simultaneously preserve important diagnostic edge information in breast ultrasound images.

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Comparative Study of Different Denoising Filters for Speckle Noise Reduction in Ultrasonic B-Mode Images

Cited by 13 publications

References 14 publications

Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens

Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens

Pyramid based multiscale anisotropic diffusion filter for ultrasound image despeckling

A Relook and Renovation over State-of-Art Salt and Pepper Noise Removal Techniques

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