Han C, Hatsukami T S, Yuan C
Department of Radiology, University of Washington, Seattle, Washington 98195-7115, USA.
J Magn Reson Imaging. 2001 Mar;13(3):428-36. doi: 10.1002/jmri.1062.
In this paper, a novel multi-scale method for coil sensitivity profile correction is presented based on wavelet transform. A magnetic resonance (MR) image can be decomposed into two spaces by the wavelet transform: approximate space and residual space. The approximate templates in approximate space can be thought of as multi-scale sensitivity profiles of the surface coil for coil correction. When we choose a suitable filter for decomposition, one of the sensitivity profiles should be optimal among the multi-scale sensitivity profiles. The optimal sensitivity profile can be chosen automatically by an analysis of the contents of the two spaces. The multi-scale method does not rely on any data other than the image generated by the MR scanner. The experiment showed promising results based on one-dimensional simulation and images of phantom and human images.
本文提出了一种基于小波变换的新型多尺度线圈灵敏度轮廓校正方法。通过小波变换，磁共振（MR）图像可分解为两个空间：近似空间和残差空间。近似空间中的近似模板可被视为用于线圈校正的表面线圈的多尺度灵敏度轮廓。当我们选择合适的滤波器进行分解时，其中一个灵敏度轮廓应在多尺度灵敏度轮廓中是最优的。通过对两个空间内容的分析可自动选择最优灵敏度轮廓。该多尺度方法除了依赖磁共振扫描仪生成的图像外，不依赖任何其他数据。基于一维模拟以及体模图像和人体图像的实验显示出了有前景的结果。
