Integration of diffusion tensor imaging parameters with mesh morphing for in-depth analysis of brain white matter fibre tracts
Data reduction methods such as averaging are commonly used in high-dimensional MRI analysis, but this results in information loss. However, individual variability makes group-wise comparisons difficult without averaging. Tayebi et al. introduces a novel method that combines 3D mesh-morphing techniques with principal component analysis that allows MRI metric group comparisons without averaging.
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8 апр 2024