Atefeh Tahmasebzadeh

Deep learning-based approaches for attenuation correction in [18F]FDG PET: Current advances and future directions.

BACKGROUND Accurate attenuation correction (AC) is essential for quantification in [18F]FDG PET imaging. However, CT or MRI-based methods may introduce artifacts, prolong scan duration, or increase radiation exposure. Deep learning-based AC (DLAC) has emerged as an alternative, enabling the generation of attenuation-co...