A Robust Algorithm for Fiber-Bundle Atlas Construction
Abstract
In this paper we demonstrate an integrated registration and clustering algorithm to compute an atlas of fiber-bundles from a set of multi-subject diffusion weighted MR images. We formulate a maximum likelihood problem which the proposed method solves using a generalized Expectation Maximization (EM) framework. Additionally, the algorithm employs an outlier rejection and denoising strategy to produce sharp probabilistic maps of certain bundles of interest. This map is potentially useful for making diffusion measurements in a common coordinate system to identify pathology related changes or developmental trends.
Cite
Text
Ziyan et al. "A Robust Algorithm for Fiber-Bundle Atlas Construction." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4409143Markdown
[Ziyan et al. "A Robust Algorithm for Fiber-Bundle Atlas Construction." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/ziyan2007iccv-robust/) doi:10.1109/ICCV.2007.4409143BibTeX
@inproceedings{ziyan2007iccv-robust,
title = {{A Robust Algorithm for Fiber-Bundle Atlas Construction}},
author = {Ziyan, Ulas and Sabuncu, Mert R. and Grimson, W. Eric L. and Westin, Carl-Fredrik},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2007},
pages = {1-8},
doi = {10.1109/ICCV.2007.4409143},
url = {https://mlanthology.org/iccv/2007/ziyan2007iccv-robust/}
}