Experimental results exhibit that both anatomical and protocol variances are enabling factors for DNN-based mostly US reconstruction; and learning how to discriminate diverse topics and predefined types of scanning paths each significantly enhance body prediction precision, volume reconstruction overlap, amassed monitoring error and ultimate drift,