Abstract
Magnetic particle imaging is a tracer-based medical imaging technology that is quite promising for the task of imaging vessel structures or blood flows. From this possible application it can be deduced that significant areas of the image domain are related to background, because the tracer material is only inside the vessels and not in the surrounding tissue. From this fact alone it seems promising to detect the background of the image in early stages of the reconstruction process. This paper proposes a multiresolution and segmentation based reconstruction, where the background is detected on a coarse level of the reconstruction with only few degrees of freedom by a Gaussian-mixture model and transferred to finer reconstruction levels.
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