一种自动化三维乳腺超声全景图的自动拼接算法

Automatic stitching method of ultrasound panorama of mammary gland in ABUS

自动化三维乳腺超声(ABUS)设备因受探头尺寸的限制而导致其成像视野有限。通过将其不同视野的图像数据进行拼接实现了对乳腺组织的全景超声检查。算法首先采用自动定位乳头位置的算法来识别和标记ABUS图像中的乳头位置;其次将乳头位置指定为后续拼接算法的特征匹配点,通过匹配特征点对图片进行融合,从而完成对ABUS乳腺超声全景图的自动拼接。结果表明,本算法可有效地自动拼接ABUS乳腺超声全景图,无需人工干预,医生可通过全景图对乳腺癌筛查病例实现更为准确和客观地诊断,具有非常重要的临床应用价值。

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.