摘要
提出一种基于最优量化的原始回波压缩方法,在描述弛豫时间谱数学模型的基础上,分析了核磁共振离散方程组的病态性.在综合考虑反演精度和计算量的前提下,确定合适的离散化回波个数,并通过改进的最优量化的方法,对核磁共振回波信号进行最优化离散,获取离散点的最优分布.结果表明该方法能够在保证反演精度的前提下,有效提高弛豫时间谱反演的效率.
A compression method of raw echo based on optimal quantization was proposed. The ill- condition of discrete equations was analyzed on the basis of nuclear magnetic resonance relaxation time spectra model. The appropriate number of discrete echo was determined and the optimal distribution of discrete echo points was achieved by optimal quantization method improved, in considering the in- versed precision and computational complexity comprehensively. The result shows that this method can effectively improve the efficiency of relaxation time spectra inversion while guaranteeing inversion accuracy.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第12期112-116,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
高等学校博士学科点专项科研基金资助项目(20130142120065)
关键词
核磁共振
弛豫时间谱
原始回波
最优量化
测井
nuclear magnetic resonance
relaxation time spectrum
raw echo
optimal quantization
logging
