一种基于信号极点先验知识和隔点抽样的磁共振波谱参数估计方法  

One Novel Parameters Estimation Method for Magnetic Resonance Spectroscopy Based on Decimation and Prior Knowledge of Signal Poles

作　　者：曾卫明[1] 梁晓云[2] 罗立民[2] 王正友[1] 方志军[1] 

机构地区：[1]江西财经大学信息管理学院,南昌330013 [2]东南大学影像科技实验室,南京210096

出　　处：《计算机学报》2006年第12期2226-2231,共6页Chinese Journal of Computers

基　　金：国家"九七三"重点基础研究发展规划项目基金(2003CB716102);江西省教育厅2006年科技计划项目(232号);江西财大创新团队基金资助

摘　　要：提出了一种新的参数估计方法.该方法通过有效地结合隔点抽样技术和信号极点先验知识,实现了波谱的参数估计.文中的理论和实验证明,该方法不论是从计算速度还是从参数估计的精度来比较,都要明显优于经典的HTLS方法和HTLSPK方法.Parameter estimation of Magnetic Resonance Spectroscopy （MRS） signal is a key step for the application of MRS. To the best of our knowledge, there are no parameter estimation methods that are based on decimation in combination with prior knowledge to estimate the parameters of MRS signals. This paper puts forward a novel method for parameter estimation of MRS signal, which takes advantage of prior knowledge of signal poles to improve the accuracy of quantification. At the same time decimation is exploited to further increase the performance of subspace-based parameter estimation in the case of oversampling. The theory analysis and experiment results show that in terms of computational complexity and accuracy the novel method performs much better than the commonly used methods such as HTLS and HTLSPK.

关 键 词：磁共振波谱 参数估计 先验知识 隔点抽样 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]