ML Anthology

Quantification of Growth and Motion Using Non-Rigid Registration

Daniel Rueckert, Raghavendra Chandrashekara, Paul Aljabar, Kanwal K. Bhatia, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Joseph V. Hajnal, Raad Mohiaddin
ECCV 2006 pp. 49-60
doi:10.1007/11889762_5 /eccv/2006/rueckert2006eccv-quantification/

Abstract

Three-dimensional (3D) and four-dimensional (4D) imaging of dynamic structures is a rapidly developing area of research in medical imaging. Non-rigid registration plays an important role for the analysis of these datasets. In this paper we will show some of the work of our group using non-rigid registration techniques for the detection of temporal changes such as growth in brain MR images. We will also show how non-rigid registration can be used to analyze the motion of the heart from cardiac MR images.

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Cite

Text

Rueckert et al. "Quantification of Growth and Motion Using Non-Rigid Registration." European Conference on Computer Vision, 2006. doi:10.1007/11889762_5

Markdown

[Rueckert et al. "Quantification of Growth and Motion Using Non-Rigid Registration." European Conference on Computer Vision, 2006.](https://mlanthology.org/eccv/2006/rueckert2006eccv-quantification/) doi:10.1007/11889762_5

BibTeX

@inproceedings{rueckert2006eccv-quantification,
  title     = {{Quantification of Growth and Motion Using Non-Rigid Registration}},
  author    = {Rueckert, Daniel and Chandrashekara, Raghavendra and Aljabar, Paul and Bhatia, Kanwal K. and Boardman, James P. and Srinivasan, Latha and Rutherford, Mary A. and Dyet, Leigh and Edwards, A. David and Hajnal, Joseph V. and Mohiaddin, Raad},
  booktitle = {European Conference on Computer Vision},
  year      = {2006},
  pages     = {49-60},
  doi       = {10.1007/11889762_5},
  url       = {https://mlanthology.org/eccv/2006/rueckert2006eccv-quantification/}
}