Paper
10 December 2021 Geodesic ray-tracing in white matter fiber crossing region using decomposition of 4th order tensor
Avinash Bansal, Sumit Kaushik, Temesgen Bihonegn, Jan Slovak
Author Affiliations +
Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis; 120880Q (2021) https://doi.org/10.1117/12.2606129
Event: Seventeenth International Symposium on Medical Information Processing and Analysis, 2021, Campinas, Brazil
Abstract
The streamline methods in Diffusion tensor imaging (DTI) use principal eigenvectors for tracking white matter fibers. In comparison, the geodesics in a multivalued ray-tracing method are closer to the actual underlying white matter fibers. This method provides multiple solutions in the form of geodesics in a Riemannian space. These geodesics are robust in tracking high curvature structures in the presence of noise. In the DTI modality, the 2nd order tensor fails to model the heterogeneous regions, e.g., crossing/merging fibers. Therefore, the ray-tracing method is limited to guide the geodesics in these regions. This work, as a first step, utilizes 4th order tensor approximation for the white matter regions. Subsequently, a non-linear optimization is performed to decompose 4th order tensors into multiple 2nd order tensors keeping their symmetric positive definite property. We are using the initial fiber directions from the diagonal components of the 4th order tensor and use the 4th order tensor decomposition for fiber tracking. The experimental results on synthetic images show that geodesics can traverse in heterogeneous and high curvature structures.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Avinash Bansal, Sumit Kaushik, Temesgen Bihonegn, and Jan Slovak "Geodesic ray-tracing in white matter fiber crossing region using decomposition of 4th order tensor", Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 120880Q (10 December 2021); https://doi.org/10.1117/12.2606129
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KEYWORDS
Diffusion

Diffusion tensor imaging

Anisotropy

Modeling

Ray tracing

Tissues

Matrices

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