基于深度学习的低场NMR弛豫时间谱反演新方法

刘可文, 姜予康, 陈方, 陈俊飞, 卢媛, 陈黎, 刘朝阳

A Deep Learning-based Method for LF-NMR Relaxation Time Spectrum Inversion

LIU Kewen, JIANG Yukang, CHEN Fang, CHEN Junfei, LU Yuan, CHEN Li, LIU Chaoyang

图9 不同信噪比条件下UDMCA和BRD对三组分模拟数据反演结果谱与标签弛豫谱对比图. (a) SNR=10；(b) SNR=20；(c) SNR=40

Fig. 9 Comparison of UDMCA and BRD inversion spectra with Label relaxation spectra for three-component simulated data under different SNR conditions. (a) SNR=10; (b) SNR=20; (c) SNR=40