ML Anthology

Classification Trees for Fast Segmentation of DTI Brain Fiber Tracts

Gali Zimmerman-Moreno, Arnaldo Mayer, Hayit Greenspan
CVPRW 2008 pp. 1-7
doi:10.1109/CVPRW.2008.4562998 /cvprw/2008/zimmermanmoreno2008cvprw-classification/

Abstract

A method is proposed for modeling and classification of White Matter fiber tracts in the brain. The presented scheme uses classification trees in conjunction with spatial representation of the individual fibers, in order to capture the characteristic behavior of fibers belonging to a specific anatomical structure. The method is characterized by high classification speed, under 3 seconds for all the fibers in a typical DTI of a brain. The model has the ability to represent complex geometric structures and has an intuitive interpretation. Encouraging results are demonstrated for tract classification on real data from ten different subjects.

CVPRW Semantic Scholar

Cite

Text

Zimmerman-Moreno et al. "Classification Trees for Fast Segmentation of DTI Brain Fiber Tracts." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4562998

Markdown

[Zimmerman-Moreno et al. "Classification Trees for Fast Segmentation of DTI Brain Fiber Tracts." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/zimmermanmoreno2008cvprw-classification/) doi:10.1109/CVPRW.2008.4562998

BibTeX

@inproceedings{zimmermanmoreno2008cvprw-classification,
  title     = {{Classification Trees for Fast Segmentation of DTI Brain Fiber Tracts}},
  author    = {Zimmerman-Moreno, Gali and Mayer, Arnaldo and Greenspan, Hayit},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-7},
  doi       = {10.1109/CVPRW.2008.4562998},
  url       = {https://mlanthology.org/cvprw/2008/zimmermanmoreno2008cvprw-classification/}
}