Optimizing stationary wavelet transform denoising of functional MRI data
Jie Zhang · Zhongguo yixue yingxiang jishu · 2008
Objective To optimize the original denoising method of wavelet multiresolution analysis in order to decrease false positive rate while keeping the certain sensitivity. Methods More wavelet decomposition scales are chosen when wavelet reconstructing, and strategy of multi-subjects averaging is conducted. These proposed methods are validated with simulated and visual experimental data. Results Analyzing simulated data reveals that,when α0.01, the proposed methods can, with the certain sensitivity, efficiently alleviate the defect of the original method. Analyzing the experimental data reveals that, judged by the criterion of SPM2, when α0.01, the proposed method can give both rather accurate and highly sensitive result. Conclusion The proposed method is the optimization of the original denoising method,making the better compromise between sensitivity and accuracy