Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching
Dynamic and longitudinal lung CT imaging produce 4D lung image data sets, enabling applications like radiation treatment planning or assessment of response to treatment of lung diseases. In this paper, we present a 4D lung segmentation method that mutually utilizes all individual CT volumes to deriv...
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
Wiley
2015-01-01
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| Σειρά: | International Journal of Biomedical Imaging |
| Διαθέσιμο Online: | http://dx.doi.org/10.1155/2015/125648 |