This work presents and analyzes a method for reducing the computational complexity of the Back-Projection image reconstruction algorithm in the framework of forward-looking multiple-input multiple-output synthetic aperture radar. A combination of the decimated Back-Projection and the Sequential Spatial Masking algorithms is proposed. Simulation results show that the proposed approach manages to significantly reduce the complexity of the Back-Projection without sacrificing the resolution or the field of view.