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A survey of denoising techniques for multi-parametric prostate MRI

机译：多参数前列腺MRI降噪技术研究

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Denoising is one of active area of research in the image-processing domain since last decade. Internal and external conditions of acquisition device are the main source of noise in an image during the procurement process, which is often impossible to avoid in practical situations. Since many different image denoising algorithms have been recommended till date, but the issue of noise elimination remains an undefended challenge. The main objective of this paper is to study and analyze the behavior of different denoising filters for multi-parametric (mp) prostate MRI so that the appropriate filter can be selected unanimously. This study evaluates the performance of fifteen denoising filters (Anisotropic, Median, Wiener, Gaussian, Mean, Wavelet, Contourlet, Bilateral, Curvelet, WHMT, NLM, GFOE, LMMSE, CURE-LET and ARF) w.r.t mp-prostate MRI i.e. T2w, DCE and DWI images in the presence of Gaussian and Rician noise. Evaluation is done in both variable and fixed level of noise. Both subjective and objective quality assessment parameters are considered for determining the final rating of filters executed over 300 mp-MRI images. This study concludes that anisotropic and NLM filter should be opted for denoising task because of their structural and other crucial details preserving capability.
机译：自上个十年以来，降噪是图像处理领域研究的活跃领域之一。采集设备的内部和外部条件是图像在采购过程中的主要噪声源，在实际情况下通常无法避免。迄今为止，由于已经推荐了许多不同的图像去噪算法，但是消除噪声的问题仍然是一个未解决的挑战。本文的主要目的是研究和分析用于多参数（mp）前列腺MRI的不同降噪滤波器的行为，以便可以一致地选择合适的滤波器。这项研究评估了15种降噪滤波器（各向异性，中值，维纳，高斯，均值，小波，轮廓，双侧，Curvelet，WHMT，NLM，GFOE，LMMSE，CURE-LET和ARF）的性能，并通过mp-前列腺MRI（即T2w， DCE和DWI图像存在高斯和里氏噪声的情况。评估在可变和固定噪声水平上进行。考虑主观和客观质量评估参数，以确定在300 mp-MRI图像上执行的过滤器的最终等级。这项研究得出的结论是，由于各向异性和NLM滤波器的结构和其他关键细节保留能力，它们应选择去噪任务。

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