Phantom study demonstrates improved ADC quantification and histogram metrics with deep learning image reconstruction, suggesting enhanced imaging accuracy.
DL reconstruction preserved ADC accuracy in both full FOV and reduced FOV DWI. ADC repeatability remained high across DL levels for both DWI sequences. Histogram dispersion progressively reduced across DL levels, particularly in high-ADC vials. Entropy and interquartile ranges decreased progressively with increasing DL strength.
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Marzi et al. (2026) studied this question.
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