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Three-Dimensional Image Registration for Spiral CT Angiography

Minerva M. Yeung, Boon-Lock Yeo, Shih-Ping Liou, Ali Banihashemi
CVPR 1994 pp. 423-429
doi:10.1109/CVPR.1994.323861 /cvpr/1994/yeung1994cvpr-three/

Abstract

This paper presents a 3D image registration approach to 3D CT angiography (CTA). We extend the interest operator from 2D to 3D in order to extract 3D feature points and develop a 3D image flow algorithm to find matches of feature points between the mask and the contrast data sets. A robust 3D motion estimation algorithm is also developed which handles outliers up to 50% of all computed image flow vectors. The subtracted volume after motion correction is rendered on the display. The proposed algorithm has been successfully applied to a clinical CTA data set and the result is very promising.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Yeung et al. "Three-Dimensional Image Registration for Spiral CT Angiography." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323861

Markdown

[Yeung et al. "Three-Dimensional Image Registration for Spiral CT Angiography." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/yeung1994cvpr-three/) doi:10.1109/CVPR.1994.323861

BibTeX

@inproceedings{yeung1994cvpr-three,
  title     = {{Three-Dimensional Image Registration for Spiral CT Angiography}},
  author    = {Yeung, Minerva M. and Yeo, Boon-Lock and Liou, Shih-Ping and Banihashemi, Ali},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {423-429},
  doi       = {10.1109/CVPR.1994.323861},
  url       = {https://mlanthology.org/cvpr/1994/yeung1994cvpr-three/}
}