Hofmann B
Institut für Numerische und Angewandte Mathematik, Universität Göttingen, Germany.
Physiol Meas. 1996 Nov;17 Suppl 4A:A73-6. doi: 10.1088/0967-3334/17/4a/010.
The conductivity profiles arising in medical applications of electrical impedance tomography (EIT) are often of 'blocky' structure, i.e. they are relatively constant inside an organ and are rapidly varying at its boundary. Standard regularization methods for the inverse problem tend to blur these sharply defined edges. A penalty method is proposed which is especially designed for a better reconstruction of discontinuous conductivity profiles.
电阻抗断层成像(EIT)医学应用中出现的电导率分布通常具有“块状”结构,即它们在器官内部相对恒定,而在其边界处迅速变化。反问题的标准正则化方法往往会模糊这些清晰定义的边缘。本文提出了一种惩罚方法,该方法特别设计用于更好地重建不连续的电导率分布。