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| Tracking white matter fiber pathways based on moving least square |
| WU Zhan-xiong1,ZHU Shan-an1,BIN He2 |
1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
2.Department of Biomedical Engineering, University of Minnesota, Minneapolis 55455, USA |
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Abstract In order to reconstruct the three-dimensional pathway of white matter fiber bundles, put forward with a three-dimensional tracking algorithm based on moving least square. Diffusion weighted imaging （DWI) data were converted to diffusion tensor imaging （DTI) data according the b-value and the table of magnetic gradients, and DTI data were filtered by Gaussian filter. Then cubic spline function was used as weighted function to fit the diffusion tensors. Under the conditions of provided bending angle and step distance, the tracking process began from the region of interest（ROI). The result based on a real DTI dataset shows that this method is suitable for the tracking of white matter （WM) fiber pathways macroscopically．
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Published: 16 March 2012
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基于移动最小二乘法的白质纤维束走向跟踪
为了对脑白质纤维束进行三维重构,提出一种基于移动最小二乘法的纤维束三维曲线走向跟踪算法,根据磁场梯度表与b值把扩散加权数据转换为扩散张量数据并进行高斯滤波,以三次样条函数为权函数对扩散张量数据进行拟和,从感兴趣区域出发在纤维束弯曲角度与特定步长限制条件下进行走向跟踪.对病人脑扩散张量成像数据进行计算,计算结果表明,该算法能够准确快速地对胼胝体纤维束三维走向进行宏观上的跟踪.
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