4D ACTIVe cut: An interactive tool for pathological anatomy modeling

Bo Wang, Wei Liu, Marcel Prastawa, Andrei Irimia, Paul M. Vespa, John D. Van Horn, P. Thomas Fletcher, Guido Gerig

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages529-532
    Number of pages4
    ISBN (Electronic)9781467319591
    StatePublished - Jul 29 2014
    Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
    Duration: Apr 29 2014May 2 2014

    Publication series

    Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

    Other

    Other2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
    CountryChina
    CityBeijing
    Period4/29/145/2/14

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    Keywords

    • Active learning
    • Graph cuts
    • Longitudinal MRI
    • Markov Random fields
    • Semi-supervised learning

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

    Cite this

    Wang, B., 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. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 529-532). [6867925] (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc..