Reverse time migration (RTM) solves the acoustic or elastic wave equation by means of the extrapolation from source and receiver wavefield in time.A migrated image is obtained by applying some criteria known as imaging condition.The zero lag cross-correlation between source and receiver wavefields is the commonly used imaging condition.However, this imaging condition produces lowspatial-frequency noise or artifacts, due to the strong contrasts in velocity field (Pestana et al., 2014).Several imaging techniques have been proposed to reduce the artifacts occurrence.Derivative operators as Laplacian are the most frequently used.In this work, we propose the usage of a technique based on a spiral phase filter ranging from 0 to 2, and a toroidal amplitude bandpass filter, known as Laguerre-Gauss transform.Through numerical experiments we present the application of this particular filter on SEG EAGE salt model and Sigsbee 2A model.We also present evidences that this method improves RTM images by reducing the artifacts and notably enhance the reflective events.