Novel radiation therapy QA method: Monte Carlo simulation meets deep learning for fast, accurate epid transmission dose generation
Bridging Speed and Accuracy in Radiation Therapy QA
Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and accuracy of EPID-based dose verification. EPID has emerged as a key tool for real-time in vivo dose verification. However, MC simulation—long regarded as the "gold standard" for dose calculation—faces a dilemma: increasing the number of simulated particles ensures higher accuracy but at the cost of significantly longer computation times, whereas reducing the particle count introduces disruptive noise that compromises result reliability.
Integrated MC-DL Technology
To address this challenge, the ...