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A Simple Scatter Reduction Method in Cone-Beam Computed Tomography for Dental and Maxillofacial Applications Based on Monte Carlo Simulation
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Document Title
A Simple Scatter Reduction Method in Cone-Beam Computed Tomography for Dental and Maxillofacial Applications Based on Monte Carlo Simulation
Author
Thanasupsombat C., Thongvigitmanee S.S., Aootaphao S., Thajchayapong P.
Name from Authors Collection
Affiliations
X-Ray CT and Medical Imaging Laboratory, National Electronics and Computer Technology Center, National Science and Technology Development Agency, 112 Thailand Science Park, Pathum Thani, 12120, Thailand; National Science and Technology Development Agency, 111 Thailand Science Park, Pathum Thani, 12120, Thailand
Type
Article
Source Title
BioMed Research International
ISSN
23146133
Year
2018
Volume
2018
Open Access
All Open Access, Gold, Green
Publisher
Hindawi Limited
DOI
10.1155/2018/5748281
Format
Abstract
The quality of images obtained from cone-beam computed tomography (CBCT) is important in diagnosis and treatment planning for dental and maxillofacial applications. However, X-ray scattering inside a human head is one of the main factors that cause a drop in image quality, especially in the CBCT system with a wide-angle cone-beam X-ray source and a large area detector. In this study, the X-ray scattering distribution within a standard head phantom was estimated using the Monte Carlo method based on Geant4. Due to small variation of low-frequency scattering signals, the scattering signals from the head phantom can be represented as the simple predetermined scattering signals from a patient's head and subtracted the projection data for scatter reduction. The results showed higher contrast and less cupping artifacts on the reconstructed images of the head phantom and real patients. Furthermore, the same simulated scattering signals can also be applied to process with higher-resolution projection data. © 2018 Chalinee Thanasupsombat et al.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
License
N/A
Rights
N/A
Publication Source
Scopus