Alpha Camera has been developed to check the alpha contamination of solid wastes generated during decommissioning of Fukushima Daiichi Nuclear Power Station (1F). A lot of measurements are needed to reveal the alpha contamination distributions due to the narrow field of view of the Alpha Camera. Therefore, in this paper, we propose a novel approach which reconstructs the divided measurement data in a three-dimensional space to identify the contaminated area easily. In primitive demonstration using new reconstruct algorithm,3D model was constructed in 98 seconds. It was fast enough to grasp the alpha distribution on time. We have achieved visualization of alpha contamination distribution that contributes to planning of dismantling and decontamination work.