t2D/3D image fusion applications are widely used in endovascular interventions. Complaints from inter-ventionists about existing state-of-art visualization software are usually related to the strong compromisebetween 2D and 3D visibility or the lack of depth perception. In this paper, we investigate several con-cepts enabling improvement of current image fusion visualization found in the operating room. First, acontour enhanced visualization is used to circumvent hidden information in the X-ray image. Second,an occlusion and depth color-coding scheme is considered to improve depth perception. To validate ourvisualization technique both phantom and clinical data are considered. An evaluation is performed inthe form of a questionnaire which included 24 participants: ten clinicians and fourteen non-clinicians.Results indicate that the occlusion correction method provides 100% correctness when determining thetrue position of an aneurysm in X-ray. Further, when integrating an RGB or RB color-depth encoding inthe image fusion both perception and intuitiveness are improved.