Deep learning for patient-specific quality assurance: predicting gamma passing rates for IMRT based on delivery fluence informed by log files

Y Huang, Y Pi, K Ma, X Miao, S Fu… - … in Cancer Research …, 2022 - journals.sagepub.com
Objectives: In this study, we propose a deep learning-based approach to predict Intensity-
modulated radiation therapy (IMRT) quality assurance (QA) gamma passing rates using …

Insensitivity of machine log files to MLC leaf backlash and effect of MLC backlash on clinical dynamic MLC motion: An experimental investigation

M Barnes, D Pomare, M Doebrich… - Journal of Applied …, 2022 - Wiley Online Library
Purpose Multi‐leaf‐collimator (MLC) leaf position accuracy is important for accurate dynamic
radiotherapy treatment plan delivery. Machine log files have become widely utilized for …

Characterization of positional accuracy of MLC using an ionization chamber array

C Liu, J Shi, Q Peng, L He, H Huang, L Chen… - Radiation Physics and …, 2024 - Elsevier
Purpose The purpose of this study is to characterize the positional accuracy of the multileaf
collimator (MLC) using an ionization chamber array and develop an MLC quality assurance …

A novel quality assurance procedure for trajectory log validation using phantom‐less real‐time latency corrected EPID images

SB Lim, BJ Zwan, D Lee, PB Greer… - Journal of Applied …, 2021 - Wiley Online Library
The use of trajectory log files for routine patient quality assurance is gaining acceptance.
Such use requires the validation of the trajectory log itself. However, the accurate …

A novel EPID‐based MLC QA method with log files achieving submillimeter accuracy

C Liu, B Wang, X Bai, X Cheng, X Wang… - Journal of Applied …, 2024 - Wiley Online Library
The purpose of this study is to develop an electronic portal imaging device‐based multi‐leaf
collimator calibration procedure using log files. Picket fence fields with 2–14 mm nominal …

Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet

Y Huang, Y Pi, K Ma, X Miao, S Fu… - Journal of X-Ray …, 2024 - journals.sagepub.com
BACKGROUND: The error magnitude is closely related to patient-specific dosimetry and
plays an important role in evaluating the delivery of the radiotherapy plan in QA. No previous …

A feasibility study to predict 3D dose delivery accuracy for IMRT using DenseNet with log files

Y Huang, R Cai, Y Pi, K Ma, Q Kong… - Journal of X-Ray …, 2024 - content.iospress.com
OBJECTIVE: This study aims to explore the feasibility of DenseNet in the establishment of a
three-dimensional (3D) gamma prediction model of IMRT based on the actual parameters …