Local SIMPLE multi atlas-based segmentation applied to lung lobe detection on chest CT
Maruti Agarwal, Ella Hendriks, Berend C. Stoel, Marleen E. Bakker, Johan H. C. Reiber, Marius Staring · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
For multi atlas-based segmentation approaches, a segmentation fusion scheme which considers local performance measures may be more accurate than a method which uses a global performance measure. We improve upon an existing segmentation fusion method called SIMPLE and extend it to be localized and suitable for multi-labeled segmentations. We demonstrate the algorithm performance on 23 CT scans of COPD patients using a leave-one- out experiment. Our algorithm performs significantly better (p < 0.01) than majority voting, STAPLE, and SIMPLE, with a median overlap of the fissure of 0.45, 0.48, 0.55 and 0.6 for majority voting, STAPLE, SIMPLE, and the proposed algorithm, respectively.