Contents Online
Statistics and Its Interface
Volume 3 (2010)
Number 1
Cosine series representation of 3D curves and its application to white matter fiber bundles in diffusion tensor imaging
Pages: 69 – 80
DOI: https://dx.doi.org/10.4310/SII.2010.v3.n1.a6
Authors
Abstract
We present a novel cosine series representation for encoding fiber bundles consisting of multiple 3D curves. The coordinates of curves are parameterized as coefficients of cosine series expansion. We address the issue of registration, averaging and statistical inference on curves in a unified Hilbert space framework. Unlike traditional splines, the proposed method does not have internal knots and explicitly represents curves as a linear combination of cosine basis. This simplicity in the representation enables us to design statistical models, register curves and perform subsequent analysis in a more unified statistical framework than splines. The proposed representation is applied in characterizing abnormal shape of white matter fiber tracts passing through the splenium of the corpus callosum in autistic subjects. For an arbitrary tract, a 19 degree expansion is usually found to be sufficient to reconstruct the tract with 60 parameters.
Keywords
cosine series representation, curve registration, curve modeling, Fourier descriptor, diffusion tensor imaging, white matter tracts
2010 Mathematics Subject Classification
Primary 62H35, 68U10. Secondary 62M40.
Published 1 January 2010