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

Authors:
Yongwon Jeong;Richard J. Radke
Affiliations:
Rensselaer Polytechnic Institute, USA;Rensselaer Polytechnic Institute, USA
Venue:
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Year:
2006

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Computed tomography-based radiotherapy planning on the example of prostate cancer: application of level-set segmentation method guided by atlas-type knowledge

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

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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.