期刊
MAGNETIC RESONANCE IN MEDICINE
卷 60, 期 4, 页码 953-963出版社
JOHN WILEY & SONS INC
DOI: 10.1002/mrm.21749
关键词
diffusion; DTI; fiber crossings; fiber tracking; multi tensor; spatial point process; MCMC
Reconstruction of neuronal fibers using diffusion-weighted (DW) MRI is an emerging method in biomedical research. Existing fiber-tracking algorithms are commonly based on the walker principle. Fibers are reconstructed as trajectories of walkers, which are guided according to local diffusion properties. In this study, a new method of fiber tracking is proposed that does not engage any walking algorithm. It resolves a number of inherent problems of the walking approach, in particular the reconstruction of crossing and spreading fibers. In the proposed method, the fibers are built with small line elements. Each line element contributes an anisotropic term to the simulated DW signal, which is adjusted to the measured signal. This method demonstrates good results for simulated fibers. A single in vivo result demonstrates the successful reconstruction of the dominant neuronal pathways. A comparison with the diffusion tensor imaging (DTI)-based fiber assignment with continuous tracking (FACT) method and the probabilistic index of connectivity (PICo) method based on a multitensor model is performed for the callosal fibers. The result shows a strong increase in the number of reconstructed fibers. These almost fill the total white matter (WM) volume and connect a large area of the cortex. The method is very computationally expensive. Possible ways to address this problem are discussed.
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