TY - GEN
T1 - Atlas-based deformable mutual population segmentation
AU - Sotiras, Aristeidis
AU - Komodakis, Nikos
AU - Langs, Georg
AU - Paragios, Nikos
PY - 2009
Y1 - 2009
N2 - Segmentation is one of the most critical problems in medical imaging. State-of-the art methods often are based on prior knowledge that can either encode geometry, appearance or both. Despite enormous work in the field, the mainstream is based on the concept of case-tocase segmentation. In this paper, we introduce the notion of mutual population segmentation using discrete optimization where results from a given example influence results for the rest of the examples towards improving the overall segmentation performance. The aim is to combine prior knowledge along with consistency through the simultaneous segmentation of the whole population. This is achieved through their mutual deformation towards the atlas, while being constrained through a simultaneous all-to-all deformable diffeomorphic registration. Promising results demonstrate the potentials of the method.
AB - Segmentation is one of the most critical problems in medical imaging. State-of-the art methods often are based on prior knowledge that can either encode geometry, appearance or both. Despite enormous work in the field, the mainstream is based on the concept of case-tocase segmentation. In this paper, we introduce the notion of mutual population segmentation using discrete optimization where results from a given example influence results for the rest of the examples towards improving the overall segmentation performance. The aim is to combine prior knowledge along with consistency through the simultaneous segmentation of the whole population. This is achieved through their mutual deformation towards the atlas, while being constrained through a simultaneous all-to-all deformable diffeomorphic registration. Promising results demonstrate the potentials of the method.
KW - Atlas based segmentation
KW - Chest radiographs
KW - Lung field segmentation
KW - Markov random fields
UR - http://www.scopus.com/inward/record.url?scp=70449339555&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2009.5192969
DO - 10.1109/ISBI.2009.5192969
M3 - Conference contribution
AN - SCOPUS:70449339555
SN - 9781424439324
T3 - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
SP - 5
EP - 8
BT - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Y2 - 28 June 2009 through 1 July 2009
ER -