Towards Recovery of 3D Chromosome Structure
Abstract
The objectives of this work include automatic recovery and visualization of a 3D chromosome structure from a sequence of 2D tomographic reconstruction images taken through the nucleus of a cell. Structure is very important for biologists as it affects chromosome functions, behavior of the cell and its state. Chromosome analysis is significant in the detection of diseases and in monitoring environmental gene mutations. The algorithm incorporates thresholding based on a histogram analysis with a polyline splitting algorithm, contour extraction via active contours, and detection of the 3D chromosome structure by establishing corresponding regions throughout the slices. Visualization using point cloud meshing generates a 3D surface. The 3D triangular mesh of the chromosomes provides surface detail and allows a user to interactively analyze chromosomes using visualization software.
Cite
Text
Babu et al. "Towards Recovery of 3D Chromosome Structure." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.466Markdown
[Babu et al. "Towards Recovery of 3D Chromosome Structure." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/babu2004cvpr-recovery/) doi:10.1109/CVPR.2004.466BibTeX
@inproceedings{babu2004cvpr-recovery,
title = {{Towards Recovery of 3D Chromosome Structure}},
author = {Babu, Sabarish V. and Liao, Pao-Chuan and Shin, Min C. and Tsap, Leonid V.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2004},
pages = {1},
doi = {10.1109/CVPR.2004.466},
url = {https://mlanthology.org/cvpr/2004/babu2004cvpr-recovery/}
}