Multiresolution generalized N dimension PCA for ultrasound image denoising
TLDR
For clinical images, the results show that MR-GND-PCA can reduce speckle and preserve resolvable details and is robust for the image with a much higher level of Speckle noise.Abstract:
Ultrasound images are usually affected by speckle noise, which is a type of random multiplicative noise. Thus, reducing speckle and improving image visual quality are vital to obtaining better diagnosis. In this paper, a novel noise reduction method for medical ultrasound images, called multiresolution generalized N dimension PCA (MR-GND-PCA), is presented. In this method, the Gaussian pyramid and multiscale image stacks on each level are built first. GND-PCA as a multilinear subspace learning method is used for denoising. Each level is combined to achieve the final denoised image based on Laplacian pyramids. The proposed method is tested with synthetically speckled and real ultrasound images, and quality evaluation metrics, including MSE, SNR and PSNR, are used to evaluate its performance. Experimental results show that the proposed method achieved the lowest noise interference and improved image quality by reducing noise and preserving the structure. Our method is also robust for the image with a much higher level of speckle noise. For clinical images, the results show that MR-GND-PCA can reduce speckle and preserve resolvable details.read more
Citations
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Fractional order integration and fuzzy logic based filter for denoising of echocardiographic image.
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TL;DR: The proposed method for denoising of Echocardiographic images is effective in noise suppression/removal and not only removes noise from an image but also preserves edges and other important structure.
Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter
TL;DR: An adaptive median filter with adaptive window size for removing speckle noise from ultrasound medical images, including the case when spots are larger than one pixel is proposed.
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Multiresolution Cube Propagation for 3-D Ultrasound Image Reconstruction
Jiahui Dong,Cong Weijian,Danni Ai,Yakui Chu,Yong Huang,Hong Song,Yurong Jiang,Yongtian Wang,Min Li,Jian Yang +9 more
TL;DR: A novel method for3-D freehand ultrasound reconstruction, which can accurately restore 3-D volumes from 2-D B-scans through cube propagation and which is robust and can achieve quality results in a short execution time relative to current reconstruction techniques is proposed.
Proceedings ArticleDOI
Ultrasound image despeckling in the contourlet domain using the Cauchy prior
TL;DR: It is shown that the proposed despeckling method outperforms several existing techniques in terms of the signal-to-noise ratio and is able to preserve the diagnostically signific ant details of the ultrasound images.
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An anatomization of noise removal techniques on medical images
TL;DR: Various noise reduction techniques such as wavelet transform, Neural Network, PCA, ICA and mean and median filters over medical images has been discussed and the strength and weakness of various noise removal techniques over processing of the medical images is highlighted.
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