With the advent of powerful digital signal processing algorithms, both multidimen-sional signal analysis and reconstruction in imaging systems may now be formulated via more concrete theoretical principles and foundations. These theoretical founda-tions, which were deemed to be impractical for implementation in realistic imaging systems, not only can be used to develop accurate and computationally manageable reconstruction algorithms, but they also provide a new understanding of the informa-tion content of the signals that are utilized for image formation.