Experimental results exhibit that both equally anatomical and protocol variances are enabling things for DNN-primarily based US reconstruction; and learning the way to discriminate unique subjects and predefined types of scanning paths equally noticeably strengthen frame prediction accuracy, volume reconstruction overlap, gathered tracking mistake