基于小波零填充技术的MRI脑相图像解包裹处理

Puu-An Juang, Ming-Ni Wu
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引用次数: 1

摘要

我们提出了一种用于MRI(磁共振成像)相位图像的相位不连续松弛方法的初步设计和实验结果。我们的方法利用小波变换算法与零填充技术。该方法通过去除不连续边界,解决了MRI相位图像的模糊问题。小波变换算法的核心思想是对给定的MRI相位数据在粗网格中进行频域松弛处理,然后将中间结果转化为细网格。在本文中,我们研究了将这种方法应用于基于相位图像的mri应用的可能性。我们还对处理后的图像与原始图像进行了评价和比较。通过实例说明了该方法在去除不连续边界中的应用。
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MRI Brain Phase Image Unwrapping Process by Wavelet Zero-Padding Technique
We present a preliminary design and experimental results of a phase discontinuity relaxation method for MRI (magnetic resonance imaging) phase images. Our method utilizes a wavelet transform algorithm with zero-padding technique. The method is capable of solving the ambiguity problem in MRI phase image by removing the discontinuous borders. The key idea of the wavelet transform algorithm is to process the given MRI phase data by operating frequency domain relaxation in coarse grids and then transferring the intermediate result into finer grids. In this paper we investigate the possibility of employing this approach for phase image based-MRI application. We also evaluate and compare these processed images with the original ones. The application of the proposed method for removing discontinuous border is demonstrated by examples.
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