会议专题

A New Denoising Technique in Magnetic Resonance Electrical Impedance Tomography

In this paper, we propose a new denoising technique in magnetic resonance electrical impedance tomography (MREIT). MREIT is a new biomedical image modality, which can provide high resolution cross-sectional conductivity images of an electrically conducting object robustly. In MREIT technique, the conductivity distribution can be reconstructed based on the measurement data of the internal magnetic flux density, which is induced by an externally injected current through a pair of surface electrodes. The harmonic Bz algorithm is a well-known image reconstruction algorithm in MREIT, and its effective application relies on the stable computation of the Laplacian operation of the measurement data. Hence, a denoising technique is necessary in order to eliminate the noise in the measurement data and compute its Laplacian operation stably. Based on the mollification method, a new denoising technique is proposed. Its efficiency is shown by a numerical experiment finally.

Harmonic Bz algorithm denoising technique MREIT mollification method Laplacian operation.

Huilin Xu

School of Mathematics and Information Science Henan Polytechnic University Jiaozuo, China

国际会议

2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

上海

英文

40-43

2011-10-15(万方平台首次上网日期,不代表论文的发表时间)