Multi-dimensional opportunities and data fusion in Industrial Process Tomography

Industrial Process Tomography (IPT) methods are reviewed in brief in terms of their underlying technology, goals and their typical limitations when applied to multi-component processes, where the material distribution depends upon a range of physical or chemical states. Multi-dimensional enhancements and data fusion methods are discussed: in spatial terms where there is inhomogeneity in the distribution; in temporal terms of dynamic characteristics; and in specific component identification. This latter further dimension is discussed in terms of `excitation energy´, including multi-modal and multi-spectral `spectro-tomography´ systems. The paper concludes with a review of the potential of such methods.