CT-based estimation of intracavitary gas volumes using threshold-based segmentation: in vitro study to determine the optimal threshold range.
McWilliams, Sebastian Robert O'Connor, Owen J McGarrigle, Anne Marie O'Neill, Siobhan B Quigley, Eamonn M M Shanahan, Fergus Maher, Michael M
McWilliams, Sebastian Robert
O'Connor, Owen J
McGarrigle, Anne Marie
O'Neill, Siobhan B
Quigley, Eamonn M M
Shanahan, Fergus
Maher, Michael M
Advisors
Editors
Other Contributors
Date
2012-06
Date Submitted
Keywords
RADIATION
ONCOLOGY
ONCOLOGY
Other Subjects
Subject 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
Gases
Humans
Imaging, Three-Dimensional
Lung Volume Measurements
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Solitary Pulmonary Nodule
Tomography, X-Ray Computed
Planned Date
Start Date
Collaborators
Principal Investigators
Alternative Titles
Publisher
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.
Language
en
ISSN
1754-9485
eISSN
ISBN
DOI
10.1111/j.1754-9485.2012.02375.x
PMID
22697325