PET-CT

Bandwidth (computing)

Correction for attenuation

Distortion (music)

Amplifier

Computer science

Whole body imaging

Computer network

Physics

Voxel

Optics

Pet imaging

Attenuation

Artificial intelligence

Medicine

Nuclear medicine

Positron emission tomography

Computer vision

Physics in Medicine and Biology

Attenuation correction (AC) of PET/MRI faces challenges including inter-scan motion, image artifacts such as truncation and distortion, and erroneous transformation of structural voxel-intensities to PET mu-map values. We propose a deep-learning-based method to derive synthetic CT (sCT) images from non-attenuation corrected PET (NAC PET) images for AC on whole-body PET/MRI imaging.

Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging