Multiple Measurement Vector Based Complex-Valued Multi-Frequency ECT

Maomao Zhang, Liying Zhu, Haokun Wang, Yi Li, Manucher Soleimani, Yunjie Yang

Research output: Contribution to journalArticlepeer-review


Complex-Valued, Multi-Frequency Electrical Capacitance Tomography (CVMF-ECT) is a recently developed tomographic concept which is capable to simultaneously reconstruct spectral permittivity and conductivity properties of target objects within the region of interest. To date, this concept has been limited to simulation and another key issue restricting its wide adoption lies in its poor image quality. This paper reports a CVMF-ECT system to verify its practical feasibility and further proposes a novel image reconstruction framework to effectively and efficiently reconstruct multi-frequency images using complex-valued capacitance data. The image reconstruction framework utilizes the inherent spatial correlations of the multi-frequency images as a priori information and encodes it by using Multiple Measurement Vector (MMV) model. Alternating direction method of multipliers was introduced to solve the MMV problem. Real-world experiments validate the feasibility of CVMF-ECT, and MMV based CVMF-ECT method demonstrates superior performance compared to conventional ECT approaches.
Original languageEnglish
Article number5005410
JournalIEEE Transactions on Instrumentation and Measurement
Publication statusPublished - 18 Dec 2020


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