Chun-Yi Lo1, Yi-Ping Chao2, Ke-Hsin Chen3, Kun-Hsien Chou4, Ching-Po Lin3,5
1Institute of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, NA, Taiwan; 2Institute of Electrical Engineering, National Taiwan Univeristy, Taipei, Taiwan; 3Institute of Neuroscience, National Yang Ming Univeristy, Taipei, Taiwan; 4Institute of Biomedical Engineering, National Yang Ming Univeristy, Taipei, Taiwan; 5Institute of Biomedical Imaging and Radiological Sciences, National Yang Ming Univeristy, Taipei, Taiwan
Diffusion tensor MRI (DTI) has shown its feasibility in white matter connectivity. In this study, a probabilistic connectivity atlas was presented with the tract-based transformation into MNI152 space. The white matter tractography was based on FACT (fiber assignment by continuous tracking) algorithm with fractional anisotropy (FA) threshold of 0.2 and angular threshold of 60 degrees. By calculating the neural bundles in MNI152 coordinate, the probabilistic tract atlas was regarded as a new template which can provide the correct location of neural bundles. The results can facilitate further studies on neural connectivity, brain mapping, and diffusion indices analysis for clinical applications.