Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET.

Hao SunYanchao HuangDebin HuXiaotong HongYazdan SalimiWenbing LvHongwen ChenHabib ZaidiHubing WuLijun Lu

Published in: EJNMMI physics (2024)

CZ-ASC, DL-ASC and FT-ASC demonstrated the feasibility of providing accurate and robust ASC for multi-tracer total-body PET, thereby reducing the radiation hazards to patients from redundant CT examinations. CZ-ASC and FT-ASC could outperform DL-ASC for cross-tracer total-body PET AC.

Keyphrases

positron emission tomography
nlrp inflammasome
artificial intelligence
pet imaging
computed tomography
pet ct
machine learning
big data
end stage renal disease
newly diagnosed
deep learning
magnetic resonance imaging
prognostic factors
peritoneal dialysis
radiation therapy
patient reported outcomes