Combining Ezplicitly Mask Image with Vozel-based Morphometry for Improving 0.35T Functional MRI Data Analysis
The effects of non-brain signal change of 0.35T fMRI (functional Magnetic Resonance Imaging) can be eliminated by combining explicitly mask image with Voxel-based Morphometry analysis. The challenge is from confusion of fMRI data at low field. Using brain tissue threshold statistical map can make analysis only for signal change within brain tissue. It uses the extracted brain tissue resulting from image segment method based on a deformable surface model as a explicitly mask image, constructs analysis mask and adds it to the analysis of fMRI based on VBM (Voxelbased Morphometry). It aims to get good brain activated area for fMRI study. The results demonstrate the method can eliminate the pseudoactivated area located on background, skull and scalp effectively, and improve localizing reliability and precision of fMRI analysis at low field MRI.
fMRI ezplicitly mask VBM Low-field strength
Yang Ping Guo Hongyu He Yanfa
College of Science Northeastern University Shenyang, Liaoning, P.R. China Sino-Dutch Biomedical and Information Engineering School Northeastern University Shenyang, Liaoning,
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
712-715
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）