Abstract: As a multi-fiber tracking model, the constrained spherical deconvolution (CSD) model is widely used in the field of fiber reconstruction. The CSD model has shown good reconstruction capabilities for crossing fibers in low anisotropy regions, which can achieve more accurate results in terms of brain fiber reconstruction. However, the current fiber tracking algorithms based on the CSD model have a few drawbacks in the selection of tracking strategies, especially in the certain crossing regions, which may lead to isotropic diffusion signals, premature termination of fibers, high computational complexity, and low efficiency. In this study, we proposed the fiber tracking method with adaptive selection of peak direction based on CSD model, called FTASP_CSD, for fiber reconstruction. The method first filters the fiber orientation distribution (FOD) peak threshold and eliminates peak directions lower than the set threshold. Secondly, a priority strategy is used to implement direction selection, and the tracking direction is adaptively adjusted according to the overall shape and needs of the FOD. Through dynamic selection of the maximum peak direction, the second maximum peak direction and the nearest peak direction, the tracking direction that best matches the true fiber direction is found. This method not only ensures spatial consistency, but also avoids the influence of stray peaks in the FOD that may be introduced by imaging noise on the fiber tracking direction. Experimental results on simulation and in vivo data show that the fiber bundles tracked by the FTASP_CSD method have a much smoother in the overall visual effect than the state-of-the-art methods. The fiber bundles tracked in the region of crossing or bifurcating fibers are more complete. This improves the angular resolution of the recognition of fiber crossings and lays a foundation for further in-depth research on fiber tracking technology.

Qian Zheng, Kefu Guo, Jiaofen Nan, Lujuan Deng and Junying Cheng. “Fiber Tracking Method with Adaptive Selection of Peak Direction Based on CSD Model”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.6 (2024). http://dx.doi.org/10.14569/IJACSA.2024.01506124

@article{Zheng2024,
title = {Fiber Tracking Method with Adaptive Selection of Peak Direction Based on CSD Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01506124},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01506124},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Qian Zheng and Kefu Guo and Jiaofen Nan and Lujuan Deng and Junying Cheng}
}