In today's tomographic imaging, there are more incomplete data systems, such as few-view system. The advantage of few-view tomography is less x-ray dose and reduced scanning time. In this work, we study the projection distribution in few-view fan-beam imaging. It is one of the fundamental problems in few-view imaging because of its severe lack of projection data. The aim is to reduce data redundancy and to improve the quality of reconstructed images by research on projection distribution schemes. The reconstruction algorithm for few-view imaging is based on algebraic reconstruction techniques (ART) and total variation (TV) constraint approached by E. Sidky .et al in 2006. Study of few-view fan-beam projection distribution is performed mainly through comparison of several distribution types in projection space and reconstructed images. Results show that the distribution called short-scan type obtains the best image in five typical distributions.