Cycle-generative adversarial network-based bone suppression imaging for highly accurate markerless motion tracking of lung tumors for cyberknife irradiation therapy.

Zennosuke MochizukiMasahide Saito Toshihiro SuzukiKoji MochizukiJunichi HasegawaHikaru NemotoKenichiro SataniHiroshi TakahashiHiroshi Onishi

Published in: Journal of applied clinical medical physics (2023)

The proposed bone suppression imaging technique based on CycleGAN improves image recognition, making it possible to achieve highly accurate motion tracking irradiation.

Keyphrases

high resolution
bone mineral density
high speed
soft tissue
deep learning
bone loss
radiation induced
stem cells
postmenopausal women
mass spectrometry
machine learning
bone regeneration
bone marrow
photodynamic therapy
smoking cessation
network analysis