PULMONARY LOBE SEGMENTATION FROM CT IMAGES USING FISSURENESS, AIRWAYS, VESSELS AND MULTILEVEL B-SPLINES
Lobe detection from CT images is a challenging segmentation problem with important respiratory health care applications, including surgical planning and regional image analysis. We present a fully automated method for segmenting the pulmonary lobes. We first build a lobar approximation by applying a...
| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Journal article |
| Språk: | English |
| Publicerad: |
2012
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Pulmonary lobe segmentation from CT images using fissureness‚ airways‚ vessels and multilevel B−splines.
Publicerad 2012
Conference item