인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.12
- 수록면
- 403 - 408 (6page)
- DOI
- 10.4283/JMAG.2023.28.4.403
이용수
초록· 키워드
External Beam Radiation Therapy (EBRT) remains a mainstay in cancer treatment. Accurate patient positioning and beam alignment are essential for optimal therapeutic outcomes. However, ensuring the correct patient positioning can be challenging during radiation treatment sessions. This study focuses on the development and validation of a ㎸ X-ray based rectilinear geometry digital tomosynthesis (DTS) system tailored for the LINAC system within EBRT. Additionally, we emphasize the enhancement of the DTS image reconstruction speed via GPU-based CUDA programming and its potential implications for real-time patient alignment and monitoring. Through modeling the rectilinear geometry DTS system, we obtained the projection images crucial for reconstruction. The acquired images were reconstructed using various algorithms. The impact of GPU-based CUDA programming on speeding up the reconstruction process was also examined. As a result, acceleration factors of up to 30 % times were achieved compared to a single thread CPU implementation. This study underscores the potential of GPU-Accelerated image reconstruction using the distance-driven method in DTS with rectilinear geometry for the LINAC System. By applying this technique to the EBRT system, it is feasible to position patients using reconstructed tomographic images in real-time using kV tomography images, even in the absence of an On-board imaging (OBI).
#digital tomosynthesis
#GPU-acceleration
#image reconstruction
#electro-magnetic radiation
#rectilinear geometry
#linear accelerator magnetrons
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목차
- 1. Introduction
- 2. Materials and Methods
- 3. Results and Dicussion
- 4. Conclusions
- References
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