@inproceedings{5a1bf7c98e864485be73f5aad2f8b9d6,
title = "4D ACTIVe cut: An interactive tool for pathological anatomy modeling",
abstract = "4D pathological anatomy modeling is key to understanding complex pathological brain images. It is a challenging problem due to the difficulties in detecting multiple appearing and disappearing lesions across time points and estimating dynamic changes and deformations between them. We propose a novel semi-supervised method, called 4D active cut, for lesion recognition and deformation estimation. Existing interactive segmentation methods passively wait for user to refine the segmentations which is a difficult task in 3D images that change over time. 4D active cut instead actively selects candidate regions for querying the user, and obtains the most informative user feedback. A user simply answers 'yes' or 'no' to a candidate object without having to refine the segmentation slice by slice. Compared to single-object detection of the existing methods, our method also detects multiple lesions with spatial coherence using Markov random fields constraints. Results show improvement on the lesion detection, which subsequently improves deformation estimation.",
keywords = "Active learning, Graph cuts, Longitudinal MRI, Markov Random fields, Semi-supervised learning",
author = "Bo Wang and Wei Liu and Marcel Prastawa and Andrei Irimia and Vespa, {Paul M.} and {Van Horn}, {John D.} and Fletcher, {P. Thomas} and Guido Gerig",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 ; Conference date: 29-04-2014 Through 02-05-2014",
year = "2014",
month = jul,
day = "29",
doi = "10.1109/isbi.2014.6867925",
language = "English (US)",
series = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "529--532",
booktitle = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",
}