Automatic Data Processing to Relative Quantitative Analysis of 1H MR Spectroscopy of Brain
This paper presents an automatic method for processing the data of 1H magnetic resonance spectroscopy. This method focuses on expressing the metabolites concentration ratios of the brain, such as NAA/Cr, NAA/Cho, Cho/Cr, etc. The data processing system consists of water suppression with wavelet basis function, automatic coefficients selection of the Gaussian transform based on the signal characteristics and experience formulas. Especially, our automatically relative quantitative analysis is based on an approximate method to label the chemical shift in parts per million (ppm) in the case of some necessary information are missed, such as the sampling rate and reference resonance frequency. It is very useful in the fusion system of brain tumor features extracted from MR images and MR spectrum.
MR Spectroscopy brain relative quantification chemical shift metabolite concentration wavelat fusion
Weibei DOU Shuai WANG Jean-Marc CONSTANS Shaowu LI
Tsinghua National Laboratory for Information Science and Technology Dept.of Electronic Engineering T Unité dIRM,EA3916,CHRU Caen,France Neuroimaging Center of Tiantan Hospital Capital Medical University Beijing,P.R.China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）