Home > Archive>Volume 14, Issue 2, 2025 >71-85. DOI:10.12146/j.issn.2095-3135.20241021001
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Numerical Validation of A Simple Dynamic Beam Filtration Strategy in Cone Beam CT
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R814.4

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National Natural Science Foundation of China (12305349,12235006, 12027812), Shenzhen Science and Technology Program (JSGGKQTD20210831174329010), Guangdong Basic and Applied Basic Research Foundation (2021TQ06Y108)

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    Abstract:

    For cone beam computed tomography (CBCT), there has long been a desire to modulate the intensity and distribution of the X-rays to accommodate the patient’s anatomy as the gantry rotates from one projection to another. This would reduce both image artifacts and radiation dose. However, the current beam modulation setups, such as dynamic bowtie filters, may be too complex for practical use in clinical applications. This study aimed to investigate a simplified dynamic beam filtration strategy for CBCT imaging to reduce image artifacts and radiation dose. In this study, the beam filtration was designed to vary dynamically as the CBCT gantry rotates around the object. Specifically, two distinct components were integrated: the sheet filter part and the bowtie filter part. The dynamic beam filtration setup has two working schemes, one is a combination of dynamic sheet filter and dynamic bowtie filter, denoted as dynamic filter-dynamic bowtie (DFDB); the other is a combination of dynamic sheet filter and static bowtie filter, denoted as dynamic filter-static bowtie (DFSB). Numerical imaging experiments were performed for three human body parts: the shoulder, chest, and knee. In addition, the Monte Carlo simulation platform MC-GPU was used to generate the dose distribution maps. Results showed that the proposed DFDB and DFSB beam filtration schemes can significantly reduce the image artifacts and thus improve the CBCT image quality. Depending on the scanned object, the total radiation dose could be reduced by 30%. The proposed simple dynamic beam filtration strategy, especially the DFSB approach, could be beneficial in the future to improve the CBCT image quality with reduced image artifacts and radiation dose.

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WANG Heran, XU Jiaxin, LIN Mingxiang, et al. Numerical Validation of A Simple Dynamic Beam Filtration Strategy in Cone Beam CT[J]. Journal of Integration Technology,2025,14(2):71-85

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History
  • Received:October 21,2024
  • Revised:October 29,2024
  • Adopted:October 31,2024
  • Online: December 24,2024
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