Image Reconstruction Based on the Anatomical Information for Magnetic Resonance Electrical Impedance Tomography
Keywords:
Anatomical information, image reconstruction, magnetic resonance electrical impedance tomography, prior knowledgeAbstract
Magnetic resonance electrical impedance tomography (MREIT) is a noninvasive modality to visualize the internal electrical conductivity distribution of an electrically conductive object using a magnetic resonance imaging (MRI) scanner. The impedance tomography step may provide valuable additional information that cannot be recovered from the MR reconstruction. Previous research has been mostly performed on the reconstruction algorithms and the measurement system. However, the anatomical information provided by the MR images is not in full use. This paper proposes an image reconstruction method based on anatomical information which provides the prior knowledge. The sensitivity algorithm with generalized minimum residual (GMRES) is proposed to reconstruct conductivity image. Simulations of a realistic geometry leg model are performed to show that our approach is not only capable of achieving high accuracy, but also able to improve the speed of the image reconstruction. At the end, a preliminary phantom experiment is presented, illustrating the feasibility of this proposed method.
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