DaT-CTLESS, using scatter-window deep-learning segmentation, achieved ICC 0.96 with CT-based attenuation correction on regional DaT uptake in an in silico trial, significantly outperforming uniform attenuation correction.
The impact of DaTscan in the diagnosis of Parkinson disease
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Development and in silico imaging trial evaluation of a deep-learning-based transmission-less attenuation compensation method for DaT SPECT
DaT-CTLESS, using scatter-window deep-learning segmentation, achieved ICC 0.96 with CT-based attenuation correction on regional DaT uptake in an in silico trial, significantly outperforming uniform attenuation correction.