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Compton Backscattering Imaging for Wall Defect Detection: A Geant4 Simulation Study

delete2025-11-01
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PRE
AI
陆
陆杰 (Jie Lü)
J
Junhao Luo
S
Shuangbao Shu *
张玉强 cover
张玉强 (Yu‐Zhong Zhang)
X
Xianli Lang
J
Jingjing Chen
DOI:10.1080/00295639.2025.2575420delete
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Abstract

Abstract

En 中文
Monitoring defects such as voids and foreign inclusions in building walls is critical for ensuring structural safety. Conventional methods like infrared thermography suffer from environmental interference, impact-echo techniques lack precise localization, and ultrasonic testing offers limited visualization. To address these limitations, we design a wall defect detection system based on Compton backscattering imaging and conduct simulation studies using Geant4. The detection system employs a radiation source emitting a fan-beam collimated by a front collimator to scan the wall model. Backscattered photons generated via Compton scattering are then collimated by a rear collimator and detected by a 256 x 256 pixel NaI(Tl) scintillator array detector. The system reconstructs cross-sectional density distribution images from scattered photon counts. After acquiring multiple layers of scans, image correction, noise reduction (Gaussian and median filtering), and threshold segmentation are applied, followed by three-dimensional (3D) reconstruction using volume rendering to extract structural details of internal defects. Geant4 simulations demonstrate that the system accurately identifies defect materials in concrete walls, with a positional error of less than 2%, a 3D reconstruction resolution of 1.0 mm, and both volume and surface area reconstruction errors below 4%.
Keywords:
Compton backscattering imaging
non-destructive testing
Geant4 simulation
3D reconstruction
defect detection

Journal

Nuclear Science and Engineering cover
Nuclear Science and Engineering
IF:
1.3
Papers:
223
Citations:
3.5K

Organization

H
Hefei University of Technology
Scholars:
6.2K
Papers: 2.0K
Citations: 2.1W
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