2020
DOI: 10.1007/s10278-020-00370-w
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DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation

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Cited by 10 publications
(5 citation statements)
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“…3 A). Possible directions for estimating three-dimensional spinal geometry in rodents include the use of generalizable annotation tools adapted to micro-CT data such as DicomAnnotator [ 65 ] or the development of 3D reconstruction methods similar to the ones used by clinicians [ 66 68 ]. We opted for a custom annotation-based solution tailored to our specific need, i.e., estimating three-dimensional spinal trajectories without reconstructing individual vertebrae.…”
Section: Discussionmentioning
confidence: 99%
“…3 A). Possible directions for estimating three-dimensional spinal geometry in rodents include the use of generalizable annotation tools adapted to micro-CT data such as DicomAnnotator [ 65 ] or the development of 3D reconstruction methods similar to the ones used by clinicians [ 66 68 ]. We opted for a custom annotation-based solution tailored to our specific need, i.e., estimating three-dimensional spinal trajectories without reconstructing individual vertebrae.…”
Section: Discussionmentioning
confidence: 99%
“…3A). Possible directions for estimating three-dimensional spinal geometry in rodents include the use of generalizable annotation tools adapted to micro-CT data such as DicomAnnotator [65] or the development of 3D reconstruction methods similar to the ones used by clinicians [66][67][68]. We opted for a custom annotation-based solution tailored to our specific need, i.e., estimating three-dimensional spinal trajectories without reconstructing individual vertebrae.…”
Section: Discussionmentioning
confidence: 99%
“…On each radiograph in the local dataset, we annotated each vertebral body's four corner points and severity of OCF using DicomAnnotator (38), an open-source annotation software. Multiple groups participated in the process of annotating the corner points of each vertebral body.…”
Section: Local Datasetmentioning
confidence: 99%