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通过求解拉普拉斯边值问题去除背景场。

Background field removal by solving the Laplacian boundary value problem.

作者信息

Zhou Dong, Liu Tian, Spincemaille Pascal, Wang Yi

机构信息

Department of Radiology, Weill Cornell Medical College, New York, NY, USA.

出版信息

NMR Biomed. 2014 Mar;27(3):312-9. doi: 10.1002/nbm.3064. Epub 2014 Jan 7.

Abstract

The removal of the background magnetic field is a critical step in generating phase images and quantitative susceptibility maps, which have recently been receiving increasing attention. Although it is known that the background field satisfies Laplace's equation, the boundary values of the background field for the region of interest have not been explicitly addressed in the existing methods, and they are not directly available from MRI measurements. In this paper, we assume simple boundary conditions and remove the background field by explicitly solving the boundary value problems of Laplace's or Poisson's equation. The proposed Laplacian boundary value (LBV) method for background field removal retains data near the boundary and is computationally efficient. Tests on a numerical phantom and an experimental phantom showed that LBV was more accurate than two existing methods.

摘要

去除背景磁场是生成相位图像和定量磁化率图的关键步骤,近年来这两者越来越受到关注。虽然已知背景场满足拉普拉斯方程,但现有方法中尚未明确解决感兴趣区域背景场的边界值问题,且无法直接从MRI测量中获得这些值。在本文中,我们假设了简单的边界条件,并通过明确求解拉普拉斯方程或泊松方程的边值问题来去除背景场。所提出的用于去除背景场的拉普拉斯边值(LBV)方法保留了边界附近的数据,并且计算效率高。在数值模型和实验模型上的测试表明,LBV比现有的两种方法更准确。

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