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首页> 外文期刊>Medical image analysis >Numerical determination of the susceptibility caused geometric distortions in magnetic resonance imaging.
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Numerical determination of the susceptibility caused geometric distortions in magnetic resonance imaging.

机译:磁化率的数值确定在磁共振成像中引起几何变形。

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The goal of this work is the design of highly accurate surgical navigation methods purely based on magnetic resonance imaging. In this context we numerically examine the geometrical distortions which occur in magnetic resonance imaging. We extend an existing method for computing magnitude and direction of distortions for any internal point. In particular, a multi-grid approach for a fast and efficient calculation of the static magnetic field throughout the imaging volume is presented and compared to the analytical solution for simple geometries. We found that shifts in the range of up to 2.5 mm occur in MRI of femur bones with 1.5 Tesla. Our new method was implemented and has been found capable of accurately correcting for geometrical distortions within reasonable computing times. In particular, we show that the registration accuracy for mutual information (MI) based MR-CT fusion can be much improved. Thus the value of the optimization functional in MI registration for MR-CT substantially increases after our distortion correction.
机译:这项工作的目标是设计纯粹基于磁共振成像的高精度手术导航方法。在这种情况下,我们在数值上检查了在磁共振成像中发生的几何变形。我们扩展了用于计算任何内部点的畸变幅度和方向的现有方法。特别是,提出了一种用于快速有效地计算整个成像空间中静磁场的多网格方法,并将其与简单几何形状的解析解决方案进行了比较。我们发现,在1.5Tesla的股骨MRI中,最大位移范围为2.5mm。我们的新方法已经实施,并且已经发现能够在合理的计算时间内准确校正几何变形。特别是,我们表明基于互信息(MI)的MR-CT融合的注册精度可以大大提高。因此,在我们的失真校正之后,用于MR-CT的MI配准中的优化功能的值会大大增加。

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