GND-PCA based statistical volume modeling of the lung

Yen-Wei Chen; Rui Xu

doi:10.1117/12.834137

30 October 2009 GND-PCA based statistical volume modeling of the lung

Yen-Wei Chen, Rui Xu

Author Affiliations +

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74971P (2009) https://doi.org/10.1117/12.834137
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In this paper, a method called generalized N-dimensional PCA (GND-PCA) is proposed for statistical volume modeling of medical volumes in this paper. The medical volume is treated as a series of 3rd-order tensors and the bases on each mode-subspace are calculated in order to approximate the tensors accurately. The GND-PCA is successfully applied into the construction of the statistical volume models for 3D CT lung volumes. Experiments show that the constructed models have good performance on generalization even though the training samples are quite few.

Citation Download Citation

Yen-Wei Chen and Rui Xu "GND-PCA based statistical volume modeling of the lung", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971P (30 October 2009); https://doi.org/10.1117/12.834137

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