Forskning ved Københavns Universitet - Københavns Universitet

Forside

Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.
OriginalsprogEngelsk
TitelMedical Image Computingand Computer AssistedIntervention – MICCAI 2018 : 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II
RedaktørerAlejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger
ForlagSpringer
Publikationsdato2018
Sider750-758
ISBN (Trykt)978-303000933-5
DOI
StatusUdgivet - 2018
Begivenhed21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spanien
Varighed: 16 sep. 201820 sep. 2018

Konference

Konference21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
LandSpanien
ByGranada
Periode16/09/201820/09/2018
NavnLecture notes in computer science
Vol/bind11071
ISSN0302-9743

ID: 200669412