18 March 2014 Detection of the nipple in automated 3D breast ultrasound using coronal slab-average-projection and cumulative probability map
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Abstract
We propose an automatic method for nipple detection on 3D automated breast ultrasound (3D ABUS) images using coronal slab-average-projection and cumulative probability map. First, to identify coronal images that appeared remarkable distinction between nipple-areola region and skin, skewness of each coronal image is measured and the negatively skewed images are selected. Then, coronal slab-average-projection image is reformatted from selected images. Second, to localize nipple-areola region, elliptical ROI covering nipple-areola region is detected using Hough ellipse transform in coronal slab-average-projection image. Finally, to separate the nipple from areola region, 3D Otsu’s thresholding is applied to the elliptical ROI and cumulative probability map in the elliptical ROI is generated by assigning high probability to low intensity region. False detected small components are eliminated using morphological opening and the center point of detected nipple region is calculated. Experimental results show that our method provides 94.4% nipple detection rate.
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Hannah Kim, Helen Hong, "Detection of the nipple in automated 3D breast ultrasound using coronal slab-average-projection and cumulative probability map", Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90351S (18 March 2014); doi: 10.1117/12.2043405; https://doi.org/10.1117/12.2043405
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