1. A method for producing an M-dimensional object representation that includes time-varying feature information using N-dimensional images, where the N-dimension of the images is of lower dimension than the M-dimension of the object representation, the method comprising: receiving, by a processor, a first plurality of N-dimensional time series images, wherein the first plurality of images correspond to a first axis of the M-dimensional object representation, and wherein the first plurality of images include an indicia of the time varying feature; reconstructing, by the processor, an M-dimensional portion of the M-dimensional object representation by combining the first plurality of images with an M-dimensional static map representation of the M-dimensional object, wherein the reconstructed M-dimensional portion includes the indicia of the time-varying feature of the first plurality of images; and applying, by the processor, a time-varying feature model to the indicia of the time-varying feature to provide time-varying feature information for the reconstructed M-dimensional portion.