This work proposes a novel approach for reconstructing the three-dimensional (3D) shapes of fluid crystal formations in their slush state, characterised by the coexistence of liquid and solid phases at the triple point temperature. Slush mixtures present higher density and lower specific enthalpy compared to their liquid counterpart, thus representing attractive candidates for different applications, such as next-generation propellants in space and ground transportation. However, the presence of solid particles in the liquid phase poses notable obstacles in accurately capturing their complex morphologies, and innovative strategies are required to efficiently characterise and employ slush propellants. The present study leverages the Visual Hull technique, which is a well-known method in computer vision and graphics, to address this challenge.