A Real-Time Algorithm for Medical Shape Recovery

Abstract

In this paper, we present a shape recovery technique in 2D and 3D with specific applications in visualizing and measuring anatomical shapes from medical images. This algorithm models extremely corrugated structures like the brain, is topologically adaptable, is robust, and runs in O(N log N) time where N is the total number of points in the domain. Our two-stage technique is based on the level set shape recovery scheme and the fast marching method for computing solutions to static Hamilton-Jacobi equations.

Cite

Text

Malladi and Sethian. "A Real-Time Algorithm for Medical Shape Recovery." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710735

Markdown

[Malladi and Sethian. "A Real-Time Algorithm for Medical Shape Recovery." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/malladi1998iccv-real/) doi:10.1109/ICCV.1998.710735

BibTeX

@inproceedings{malladi1998iccv-real,
  title     = {{A Real-Time Algorithm for Medical Shape Recovery}},
  author    = {Malladi, Ravi and Sethian, James A.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1998},
  pages     = {304-310},
  doi       = {10.1109/ICCV.1998.710735},
  url       = {https://mlanthology.org/iccv/1998/malladi1998iccv-real/}
}