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Robust principal component analysis-based four-dimensional computed tomography
The purpose of this paper for four-dimensional (4D) computed tomography (CT) is threefold. (1) A new spatiotemporal model is presented from the matrix perspective with the row dimension in space and the column dimension in time, namely the robust PCA (principal component analysis)-based 4D CT model....
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2011
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3395474/ https://ncbi.nlm.nih.gov/pubmed/21540490 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/56/11/002 |
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