ML Anthology

Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering

Adam Szmul, Bartlomiej W. Papiez, Russell Bates, Andre Hallack, Julia A. Schnabel, Vicente Grau
CVPRW 2016 pp. 592-599
doi:10.1109/CVPRW.2016.80 /cvprw/2016/szmul2016cvprw-graph/

Abstract

This work revisits the concept of graph cuts as an efficient optimization technique in image registration. Previously, due to the computational burden involved, the use of graph cuts in this context has been mainly limited to 2D applications. Here we show how combining graph cuts with supervoxels, resulting in a sparse, yet meaningful graph-based image representation, can overcome previous limitations. Additionally, we show that a relaxed graph representation of the image allows for 'sliding' motion modeling and provides anatomically plausible estimation of the deformations. This is achieved by using image-guided filtering of the estimated sparse deformation field. We evaluate our method on a publicly available CT lung data set and show that our new approach compares very favourably with state-of-the-art in continuous and discrete image registration.

CVPRW Semantic Scholar

Cite

Text

Szmul et al. "Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.80

Markdown

[Szmul et al. "Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/szmul2016cvprw-graph/) doi:10.1109/CVPRW.2016.80

BibTeX

@inproceedings{szmul2016cvprw-graph,
  title     = {{Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering}},
  author    = {Szmul, Adam and Papiez, Bartlomiej W. and Bates, Russell and Hallack, Andre and Schnabel, Julia A. and Grau, Vicente},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2016},
  pages     = {592-599},
  doi       = {10.1109/CVPRW.2016.80},
  url       = {https://mlanthology.org/cvprw/2016/szmul2016cvprw-graph/}
}