A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf
.
Bayesian Segmentation of Atrium Wall Using Globally-Optimal Graph Cuts on 3D Meshes
[chapter]
2013
Lecture Notes in Computer Science
Efficient segmentation of the left atrium (LA) wall from delayed enhancement MRI is challenging due to inconsistent contrast, combined with noise, and high variation in atrial shape and size. We present a surface-detection method that is capable of extracting the atrial wall by computing an optimal a-posteriori estimate. This estimation is done on a set of nested meshes, constructed from an ensemble of segmented training images, and graph cuts on an associated multi-column, proper-ordered
doi:10.1007/978-3-642-38868-2_55
pmid:24684007
pmcid:PMC4157062
fatcat:nzzvez5aijfgzbqwhf7fcizvmm