Orthogonal subspace projection-based approaches to classification of MR image sequences.

@article{Wang2001OrthogonalSP,
  title={Orthogonal subspace projection-based approaches to classification of MR image sequences.},
  author={C M Wang and Scott Cheng-Hsin Yang and Peter Chi-Ho Chung and Chi I Chang and Chu Shek Lo and Chia C. Chen and C. W. Yang and Chua Hui Wen},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2001},
  volume={25 6},
  pages={465-76}
}
Orthogonal subspace projection (OSP) approach has shown success in hyperspectral image classification. Recently, the feasibility of applying OSP to multispectral image classification was also demonstrated via SPOT (Satellite Pour 1'Observation de la Terra) and Landsat (Land Satellite) images. Since an MR (magnetic resonance) image sequence is also acquired by multiple spectral channels (bands), this paper presents a new application of OSP in MR image classification. The idea is to model an MR… CONTINUE READING
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