Effect of increasing diffusion gradient direction number on diffusion tensor imaging fiber tracking in the human brain.

Objective: To assess the effects of varying the number of diffusion gradient directions (NDGDs) on diffusion tensor fiber tracking (FT) in human brain white matter using tract characteristics.

Materials And Methods: Twelve normal volunteers underwent diffusion tensor imaging (DTI) scanning with NDGDs of 6, 11, 15, 21, and 31 orientations. Three fiber tract groups, including the splenium of the corpus callosum (CC), the entire CC, and the full brain tract, were reconstructed by deterministic DTI-FT.

Diffusion tensor imaging fiber tracking with reliable tracking orientation and flexible step size.

We propose a method of reliable tracking orientation and flexible step size fiber tracking. A new directional strategy was defined to select one optimal tracking orientation from each directional set, which was based on the single-tensor model and the two-tensor model. The directional set of planar voxels contained three tracking directions: two from the two-tensor model and one from the single-tensor model.

[EEG feature extraction based on ICA and CSP algorithms].

This research was aimed at the feature extraction problem in brain computer interface (BCI). The combination algorithm based on independent component analysis (ICA) and common spatial pattern (CSP) was introduced into this work for exploring frequency domain characteristics from Electroencephalography (EEG). Firstly, a pre-processing step with ICA was applied to remove artifacts, and EEG was filtered through an 8-30 Hz bandpass filter.

[3D reconstruction based on sub-pixel points of structured light].

In this paper, a method for detecting sub-pixel points based on zero-crossing detection combined with Steger's curvilinear detector has been presented. Finally, the feasibility and validity of this method has been confirmed by the experiment.

[Study on digital radiography equilibrium processing].

On account of different thickness of tissues absorbing different doses of X ray, it is difficult to display anatomical details of different tissues on a single screen of DR equipment. In order to resolve this problem, the self-adaptive reverse S mode transformation algorithm is presented in the paper, which can modify darker regions and brighter regions respectively, and improve the visibility of weakly details.