Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging?

Abstract

We propose the use of a continuity heuristic for solving the inclination ambiguity of polarized light imaging, which is a high resolution method of mapping the spatially varying pattern of anisotropy in biological and non-biological samples. Applied to the white matter of the brain, solving the inclination ambiguity of polarized light imaging will allow the creation of a 3D model of fibers. We use the continuity heuristic in several methods, some of which employ the simulated annealing algorithm to reinforce the heuristic, while others proceed deterministically to solve the inclination ambiguity. We conclude by explaining the limitations of the continuity heuristic approach.

Cite

Text

Larsen and Griffin. "Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging?." European Conference on Computer Vision, 2004. doi:10.1007/978-3-540-27816-0_31

Markdown

[Larsen and Griffin. "Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging?." European Conference on Computer Vision, 2004.](https://mlanthology.org/eccv/2004/larsen2004eccv-continuity/) doi:10.1007/978-3-540-27816-0_31

BibTeX

@inproceedings{larsen2004eccv-continuity,
  title     = {{Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging?}},
  author    = {Larsen, Luiza and Griffin, Lewis D.},
  booktitle = {European Conference on Computer Vision},
  year      = {2004},
  pages     = {365-375},
  doi       = {10.1007/978-3-540-27816-0_31},
  url       = {https://mlanthology.org/eccv/2004/larsen2004eccv-continuity/}
}