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    CT-based estimation of intracavitary gas volumes using threshold-based segmentation: in vitro study to determine the optimal threshold range.

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    Authors
    McWilliams, Sebastian Robert
    O'Connor, Owen J
    McGarrigle, Anne Marie
    O'Neill, Siobhan B
    Quigley, Eamonn M M
    Shanahan, Fergus
    Maher, Michael M
    Affiliation
    Department of Radiology, University College Cork, Cork University Hospital, Wilton, Cork, Ireland. sebastian.mcwilliams@gmail.com
    Issue Date
    2012-06
    Keywords
    RADIATION
    ONCOLOGY
    MeSH
    Algorithms
    Gases
    Humans
    Imaging, Three-Dimensional
    Lung Volume Measurements
    Phantoms, Imaging
    Reproducibility of Results
    Sensitivity and Specificity
    Solitary Pulmonary Nodule
    Tomography, X-Ray Computed
    
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    Citation
    CT-based estimation of intracavitary gas volumes using threshold-based segmentation: in vitro study to determine the optimal threshold range. 2012, 56 (3):289-94 J Med Imaging Radiat Oncol
    Journal
    Journal of medical imaging and radiation oncology
    URI
    http://hdl.handle.net/10147/323351
    DOI
    10.1111/j.1754-9485.2012.02375.x
    PubMed ID
    22697325
    Abstract
    This study investigated the optimal Hounsfield unit (HU) threshold range when using threshold-based segmentation to estimate volumes of contained gas (i.e. intestinal gas) on CT.
    Item Type
    Article
    Language
    en
    ISSN
    1754-9485
    ae974a485f413a2113503eed53cd6c53
    10.1111/j.1754-9485.2012.02375.x
    Scopus Count
    Collections
    Cork University Hospital

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