To evaluate the image quality and ability to depict in vivo bone vascularization with an ultra-high-resolution computed tomography (UHR-CT) scanner using a deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) algorithms, compared to simulated conventional CT, using osteoid osteoma (OO) as a model.
Study Type
OBSERVATIONAL
Enrollment
20
Ultra High Resolution CT scan
Number of cortical vessels
Number
Time frame: Retrospective review of all ultra high resolution CT of the precedent 2 years
Number of nidus vessels
Number
Time frame: Retrospective review of all ultra high resolution CT of the precedent 2 years
Confidence Score
1 (weak) to 5 (strong)
Time frame: Retrospective review of all ultra high resolution CT of the precedent 2 years
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