AIR recon deep learning on oZTEo technique in cortical bone MRI: an ex vivo ankle joint of adolescent pig and a knee joint of adolescent child

Motivation: Exploring oZTEo sequence with NEX=2 after AIR recon deep learning (DL) alternatives to 3D-ZTE for diagnosing bone diseases in children is clinically desirable. Goal(s): To compare the image quality among different kinds of oZTEo sequences. Approach: A specimen and a child were subjected to different oZTEo MRI with and witout DL. The specimen was subjected to CT examination. The thicknesses of bone cortex and SNR of neighboring muscles were measured. Results: The image quality of oZTEo CT-like with NEX=2 after AIR recon DL was superior than that with NEX=6 before AIR recon DL. Impact: The oZTEo technique with NEX=2 after AIR recon DL, with shorter scanning time and witout ionizing radiation, is a safer choice for diagnosing children bone diseases.