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Proceedings Paper

GND-PCA based statistical volume modeling of the lung
Author(s): Yen-Wei Chen; Rui Xu
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971P (30 October 2009); doi: 10.1117/12.834137
Show Author Affiliations
Yen-Wei Chen, Central South Forest Univ. (China)
Ritsumeikan Univ. (Japan)
Rui Xu, Ritsumeikan Univ. (Japan)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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