Digital mosaic imaging techniques provide a cost effective means to acquiring high resolution images. Constrained mosaic imaging techniques make use of special purpose fiducial patterns in order to define a priori the relation between images on each tile. This 'inter-tile' relation is applied to any images acquired subsequently. A simulation study was carried out where a model of the digital mosaic imager was used. By doing so, it was possible to compare the original data to that reconstructed using different techniques. The effects of these technique so the quality of the final digital mosaic image wee investigated. The techniques were applied towards reconstructing mammogram images. In order to evaluate performance of the approach, a set of features of interest were selected to measure image quality. Features that are important to visual perception include micro-calcifications and other fine details on the image, as per a radiologist's suggestion. Features important to the computerized diagnostic software include, edge maps and other common features used in existing computerized mammogram analysis approaches. Results of this experimental study provide a better understanding of how mosaic reconstruction approaches affect the quality of the final image. The study is also helpful in defining the role that features of interest, be it from a visual perception or computer software point of view, play towards selecting the image reconstruction scheme better suited for digital mosaic mammography.