Form free real space distributions are usually obtained with indirect methods including regularization. Structure Interference Method (SIM) is presented as a novel indirect evaluation method that does not use an additional secondary condition concerning e.g. smoothness to obtain physical meaningful solutions. The algorithm is simply based on the demand that a physical meaningful solution should not depend on the real space discretisation: for randomly chosen real space discretisations single solutions are calculated with a conjugated gradient algorithm. By averaging single solutions according to different real space discretisations only systematic structures are archived. Both for simulated and real data it is shown that SIM behaves extremely stable even in the case of incomplete data (e.g. h-range to small), very high real space resolution is achieved and the solutions are scarcely affected with artifactal structures.