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Mean field network based graph refinement with application to airway tree extraction
- Source :
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2018-21st International Conference, 2018, Proceedings, 750-758, STARTPAGE=750;ENDPAGE=758;TITLE=Medical Image Computing and Computer Assisted Intervention – MICCAI 2018-21st International Conference, 2018, Proceedings, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009335, MICCAI (2)
- Publication Year :
- 2018
- Publisher :
- Springer Verlag/Kodansha Ltd, 2018.
-
Abstract
- We present tree extraction in 3D images as a graph refinement task, of obtaining a subgraph from an over-complete input graph. To this end, we formulate an approximate Bayesian inference framework on undirected graphs using mean field approximation (MFA). Mean field networks are used for inference based on the interpretation that iterations of MFA can be seen as feed-forward operations in a neural network. This allows us to learn the model parameters from training data using back-propagation algorithm. We demonstrate usefulness of the model to extract airway trees from 3D chest CT data. We first obtain probability images using a voxel classifier that distinguishes airways from background and use Bayesian smoothing to model individual airway branches. This yields us joint Gaussian density estimates of position, orientation and scale as node features of the input graph. Performance of the method is compared with two methods: the first uses probability images from a trained voxel classifier with region growing, which is similar to one of the best performing methods at EXACT’09 airway challenge, and the second method is based on Bayesian smoothing on these probability images. Using centerline distance as error measure the presented method shows significant improvement compared to these two methods.
- Subjects :
- Artificial neural network
business.industry
Computer science
Inference
Pattern recognition
Bayesian inference
computer.software_genre
Graph
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Mean field theory
Region growing
Voxel
030220 oncology & carcinogenesis
Graph (abstract data type)
Artificial intelligence
business
Classifier (UML)
computer
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-00933-5
- ISBNs :
- 9783030009335
- Database :
- OpenAIRE
- Journal :
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2018-21st International Conference, 2018, Proceedings, 750-758, STARTPAGE=750;ENDPAGE=758;TITLE=Medical Image Computing and Computer Assisted Intervention – MICCAI 2018-21st International Conference, 2018, Proceedings, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009335, MICCAI (2)
- Accession number :
- edsair.doi.dedup.....b1dfc5223c773a6ea41a5ade5ca4632b