Automated 3-D Breast Ultrasound (ABUS) equipment has limited imaging field due to the limitation of probe size. By stitching image data of different fields of view, a panoramic ultrasound inspection of breast tissue is revising. The algorithm first uses the algorithm to locate the nipple position to identify and mark the nipple position in the ABUS image; secondly, the nipple position is designation as the feature matching point of the subsequent stitching algorithm, and the image is integrated the matching feature points to complete the ABUS breast ultrasound panorama. Automatic splicing of pictures. The results show that this algorithm can effectively stitch the ABUS breast ultrasound panoramic images without manual intervention. Doctors can use the panoramic images to diagnose breast cancer screening cases more accurately and objectively, which has very important clinical application value.