Abstract: Marchenko imaging is a method that utilizes full scattering information. Compared with conventional migration methods, it can reduce artefacts caused by internal multiples. This paper first introduces the retrieval of the Marchenko Green’s function in detail. Subsequently, based on an analysis of imaging conditions applicable to the Marchenko Green’s function, it proposes an improved multidimensional deconvolution imaging condition to enhance migration quality. To address the challenges of large data volumes and low computational efficiency in 3D Marchenko imaging, the paper proposes master-slave process group parallel strategies, as well as aperture and frequency band selection strategies. Numerical experiments verify the effectiveness of the proposed method.