ML Anthology

Modeling Inter- and Intra-Patient Anatomical Variation Using a Bilinear Model

Yongwon Jeong, Richard J. Radke
CVPRW 2006 pp. 76
doi:10.1109/CVPRW.2006.127 /cvprw/2006/jeong2006cvprw-modeling/

Abstract

We introduce a novel method for modeling the natural anatomical variation of an organ along inter-patient and intra-patient axes using a bilinear model. Bilinear models are attractive for this purpose since one type of variation can be explored while the other is held constant. We apply our model to a total of 204 prostate shapes contoured from CT imagery of 12 different patients, and show that the learned bilinear models can fit both training and testing shapes accurately. We also demonstrate the superior performance of the bilinear model over a linear model with the same number of parameters in adapting to prostate shapes from a new patient acquired immediately prior to consecutive fractions of radiation therapy.

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Text

Jeong and Radke. "Modeling Inter- and Intra-Patient Anatomical Variation Using a Bilinear Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006. doi:10.1109/CVPRW.2006.127

Markdown

[Jeong and Radke. "Modeling Inter- and Intra-Patient Anatomical Variation Using a Bilinear Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006.](https://mlanthology.org/cvprw/2006/jeong2006cvprw-modeling/) doi:10.1109/CVPRW.2006.127

BibTeX

@inproceedings{jeong2006cvprw-modeling,
  title     = {{Modeling Inter- and Intra-Patient Anatomical Variation Using a Bilinear Model}},
  author    = {Jeong, Yongwon and Radke, Richard J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2006},
  pages     = {76},
  doi       = {10.1109/CVPRW.2006.127},
  url       = {https://mlanthology.org/cvprw/2006/jeong2006cvprw-modeling/}
}