Due to the complex background and varying scanning conditions, extracting the vessel structure from the rotational angiography (RA) image is challenging. Various methods have been proposed for binary vessel segmentation with no gray level information which is essentially for diagnosis. A new method based on background inpainting and image subtraction is introduced in this paper. Instead of providing binary segmentation result, the proposed method estimates the background caused by surrounding tissues, and the vessel structure with gray level is obtained via image subtraction. The experiments verify that the proposed method works well for clinical sequences with different scanning conditions.
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