Shape and Pixel-Property Based Automatic Affine Registration Between Ultrasound Images of Different Fetal Head
The difficulties in the automatic registration of the ultrasound images of different fetal heads are mainly caused by the poor image quality, view dependent imaging property and the difference of brain tissues. To overcome these difficulties, a novel Gabor filter based preprocessing and a novel shape and pixel-property based registration method are proposed. The proposed preprocessing can effectively reduce the influence of the speckles on the registration and extract the intensity variation for the shape information. A reference head shape model is generated by fusing a prior skull shape model and the shape information from the reference image. Then, the reference head shape model is integrated into the conventional pixel-property based affine registration framework by a novel shape similarity measure. The optimization procedure is robustly performed by a novel mean-shift based method. Experiments using real data demonstrate the effectiveness of the proposed method.
Keywordsultrasound image registration shape similarity gabor filter mean shift
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