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Sparse view Compton scatter tomography with energy resolved data: experimental and simulation results
- Source :
- Anomaly Detection and Imaging with X-Rays (ADIX) II.
- Publication Year :
- 2017
- Publisher :
- SPIE, 2017.
-
Abstract
- X-ray inspection systems play a critical role in many non-destructive testing and security applications, with systems typically measuring attenuation during transmission along straight-line paths connecting sources and detectors. Computed tomography (CT) systems can provide higher-quality images than single- or dual-view systems, but the need to measure many projections through the scene increases system complexity and cost. We seek to maximize the image quality of sparse-view (few-view) systems by combining attenuation data with measurements of Compton-scattered photons, that deflect after scattering and arrive at detectors via broken ray paths that provide additional sampling of the scene. The work below presents experimental validation of a singlescatter forward model for Compton-scatter data measured with energy-resolving detectors, and demonstrates a reconstruction algorithm that combines both attenuation and scatter measurements. The results suggest that including Compton-scattered data in the reconstruction process can improve image quality for few-view systems.
- Subjects :
- Physics
business.industry
Image quality
Attenuation
Detector
Compton scattering
Reconstruction algorithm
02 engineering and technology
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Sampling (signal processing)
Transmission (telecommunications)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Tomography
business
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- Anomaly Detection and Imaging with X-Rays (ADIX) II
- Accession number :
- edsair.doi...........907b0122fd975d6b5173483e1ad7a075
- Full Text :
- https://doi.org/10.1117/12.2266688