Corpus ID: 17011651

Corticospinal Tract Reconstruction with Deterministic Multi-fiber Tractography and Model-based Processing

  title={Corticospinal Tract Reconstruction with Deterministic Multi-fiber Tractography and Model-based Processing},
  author={Ryan P. Cabeen and D. Laidlaw},
The reconstruction of the corticospinal tract in the human brain is a clinically important task for both surgical planning and population studies. Diffusion MRI tractography provides an in-vivo and patientspecific technique for mapping the tract’s geometry; however, crossing fibers present a challenge for the standard tensor model. In this paper, we explore the use multi-fiber models that have been shown to overcome some of these issues, and we apply methods for potentially improving on… Expand
1 Citations

Figures from this paper

[Regular Paper] Corticospinal Tract (CST) Reconstruction Based on Fiber Orientation Distributions (FODs) Tractography
  • Youshan Zhang
  • Materials Science, Computer Science
  • 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)
  • 2018
  • PDF


Resolving crossings in the corticospinal tract by two-tensor streamline tractography: Method and clinical assessment using fMRI
  • 104
  • Highly Influential
  • PDF
In vivo fiber tractography using DT‐MRI data
  • 2,847
  • PDF
Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering
  • 9
  • PDF
A Mathematical Framework for the Registration and Analysis of Multi-Fascicle Models for Population Studies of the Brain Microstructure
  • 41
  • PDF
White matter atlases based on diffusion tensor imaging
  • 134
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
  • 2,757
  • PDF
Interpolating multi-fiber models by Gaussian mixture simplification
  • 11
  • PDF
Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization
  • 161
  • PDF