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A two-step optimization approach for nonlocal total variation-based Rician noise reduction in magnetic resonance images

机译:基于两步优化的磁共振图像中基于非局部总方差的Rician降噪

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摘要

Purpose: Magnetic resonance imaging (MRI) often suffers from apparent noise during image acquisition and transmission. The degraded data can easily result in nonrobust postprocessing steps in medical image analysis. The purpose of this study is to eliminate noise effects and improve image quality using a nonlocal feature-preserving denoising method.
机译:目的:磁共振成像(MRI)在图像获取和传输过程中经常遭受明显的噪声。降级的数据很容易导致医学图像分析中不可靠的后处理步骤。这项研究的目的是使用一种保留局部特征的去噪方法消除噪声影响并提高图像质量。

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