Abstract: Ultrasonic imaging is one of the most often used clinical imaging and diagnostic methods because of its moderate, real-time, well penetrative and cost-efficient performances. In recent years, the high frame-rate and high quality ultrasonic imaging method is urgently demanded. Meanwhile, as a popular tool to acquire signal features in a short period, deep learning has made impressive improvements and shown great potential in ultrasonic imaging. In this paper, the deep learning method and its applications related to ultrasonic imaging are reviewed, and challenges in deep learning training and clinical practices are also summarized.