4D active cut: an interactive tool for pathological anatomy modeling

Update item information
Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Wang, Bo; Liu, Wei.; Prastawa, Marcel; Irimia, Andrei; Vespa, Paul M.; van Horn, John D.; Fletcher, P. Thomas
Title 4D active cut: an interactive tool for pathological anatomy modeling
Date 2014-01-01
Description 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.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 529
Last Page 532
Language eng
Bibliographic Citation Wang, Bo, Liu, W., Prastawa, M., Irimia, A., Vespa, P. M., van Horn, J. D., Fletcher, P. T., & Gerig, G. (2014). 4D active cut: an interactive tool for pathological anatomy modeling. Proceedings of the 2014 IEEE International Symposium on Biomedical Imaging (ISBI), 529-32.
Rights Management (c) 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 2,172,647 bytes
Identifier uspace,18990
ARK ark:/87278/s6zk8rsh
Setname ir_uspace
Date Created 2014-10-17
Date Modified 2021-05-06
ID 712696
Reference URL https://collections.lib.utah.edu/ark:/87278/s6zk8rsh
Back to Search Results