Introduction: While the assessment of complex blood flow patterns using 4D Flow MRI is gaining attention, its clinical application remains limited by its long acquisition times and complex post-processing . During data analysis and visualization, the 3D or 4D segmentation of 4D Flow data often requires manual interaction and can be tedious. The visualization of 4D flow data can be realized based on the representation of particle traces for which one particle emitter plane must be defined . The positioning of this emitter plane can be tricky as it can have a strong impact on the visualization. In order to overcome the complexity of the processing of 4D Flow data, we suggest a fully automatic approach for visualization of 4D Flow data. We developed a simple technique based on data clustering in three regions (for air/lungs, static tissues, vessels) and particle traces with volume seeding.