Accurate quantitative measurement of neutron non-primary radiation is crucial for the safe implementation of boron neutron capture therapy (BNCT), yet such measurement faces challenges including large measurement area and strong γ-ray interference. Indirect neutron radiography (INR) offers advantages for large-area measurement and γ resistance, but its application is limited by the low sensitivity of activation detectors and measurement errors from crosstalk. To address these challenges, dysprosium (Dy) was selected as the activation detector to enhance sensitivity, establishing a quantitative calibration relationship between its activity and imaging plate (IP) signals. For signal crosstalk during foil exposure, spatial convolution kernel was constructed using Monte Carlo simulations, and then applied with the Biconjugate Gradient Stabilized (Bi-CGSTAB) algorithm to perform spatial deconvolution of dose deposition on the IP, thereby reconstructing the actual activity of each pixel on the foil. Validation experiments demonstrated significant improvement, and the proportion of data points exceeding 5 % deviation decreased from over 60 % before correction to below 15 % after correction. Applied to clinical BNCT device, it successfully obtained the two-dimensional (2D) distribution of neutron non-primary radiation within 150–550 mm from the radiation field edge. The converted maximum skin absorbed dose rate was 1.26 × 10−4 Gy/s, located at 150 mm from the radiation field edge and decaying rapidly with increasing distance. This study achieved the quantitative measurement of 2D neutron non-primary radiation distribution in clinical BNCT devices, and provided technical support for comprehensive assessment of radiation risks and optimization of protection design.
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