Purpose Electrical capacitance tomography (ECT) and electrical resistance tomography (ERT) are promising techniques for multiphase flow measurement due to their high speed, low cost, non-invasive and visualization features. There are two major difficulties in image reconstruction for ECT and ERT: the “soft-field”effect, and the ill-posedness of the inverse problem, which includes two problems: under-determined problem and the solution is not stable, i.e. is very sensitive to measurement errors and noise. This paper aims to summarize and evaluate various reconstruction algorithms which have been studied and developed in the word for many years and to provide reference for further research and application. Design/methodology/approach In the past 10 years, various image reconstruction algorithms have been developed to deal with these problems, including in the field of industrial multi-phase flow measurement and biological medical diagnosis. Findings This paper reviews existing image reconstruction algorithms and the new algorithms proposed by the authors for electrical capacitance tomography and electrical resistance tomography in multi-phase flow measurement and biological medical diagnosis. Originality/value The authors systematically summarize and evaluate various reconstruction algorithms which have been studied and developed in the word for many years and to provide valuable reference for practical applications.

Qi Wang received her Ph.D. degree in Polymer Science and Engineering from Tianjin University in 2019 under the supervision of Prof. Yanhou Geng. Currently, she is a postdoctoral research associate working in Prof. Yanhou Geng's group at Tianjin University. Her current research interests are the molecular design and synthesis of ester-substituted polythiophene photovoltaic materials.

Two NIR-absorbing non-fullerene acceptors IDT2Se and IDT2Se-4F with selenophene as π bridges displayed high PCEs.