Li Xu, Xia Rongmin, He Bin
University of Minnesota, Minneapolis, 55455 USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:5834-6. doi: 10.1109/IEMBS.2008.4650541.
A new tomographic algorithm for reconstructing a curl-free vector field, whose divergence serves as acoustic source is proposed. It is shown that under certain conditions, the scalar acoustic measurements obtained from a surface enclosing the source area can be vectorized according to the known measurement geometry and then be used to reconstruct the vector field. The proposed method is validated by numerical experiments. This method can be easily applied to magnetoacoustic tomography with magnetic induction (MAT-MI). A simulation study of applying this method to MAT-MI shows that compared to existing methods, the proposed method can give an accurate estimation of the induced current distribution and a better reconstruction of electrical conductivity within an object.
提出了一种新的断层扫描算法，用于重建一个散度作为声源的无旋向量场。结果表明，在某些条件下，从包围源区域的表面获得的标量声学测量值可以根据已知的测量几何形状进行向量化，然后用于重建向量场。通过数值实验验证了所提出的方法。该方法可以很容易地应用于磁感应磁声断层成像（MAT-MI）。将该方法应用于MAT-MI的模拟研究表明，与现有方法相比，该方法能够准确估计感应电流分布，并能更好地重建物体内部的电导率。
