Automatic seeding points selection for DTI fiber tracking
The present invention discloses methods for automatically generating regions of seeding points for fiber tracking in diffusion tensor images. These methods are based on connected region grow. Seeding point selection criteria involving Fractional Anisotropy thresholding and Dominant Eigen Vector similarity are also disclosed.
Siemens Medical Solutions USA, Inc.
G
G06V
inventional
Zhizhou Mariappan S. Yuanhsi (Tony)
Wang Nadar Chen