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Abstract
Recently, the International Commission on Radiological Protection (ICRP) released adult Mesh-type Reference Computational Phantoms (MRCPs), which have great advantage in high deformability. Previous studies have exploited their high deformability to investigate the dosimetric influence of varying statures and postures, demonstrating significant variations in radiation doses. However, the previous studies are constrained by their inability to consider both stature and posture concurrently and by the limited range of postures analyzed. In the present study, a computer program named MPPD (Mesh-type Phantom Posture Deformer) was developed, a user-friendly graphical user interface that enables users to adjust the posture of adult MRCPs and corresponding library phantoms. The MPPD program was applied to deform five adult male phantoms of different statures into sitting and kneeling postures, showcasing its rapid computational speed and minimal RAM usage. The effectiveness of the MPPD program for dose calculation was also investigated by computing the detriment-weighted doses for MPPD-deformed adult male MRCPs, which showed good agreement with dose values for existing posture-deformed phantoms of the previous study. Furthermore, as an application of the MPPD program, the combined dosimetric impact of stature and posture was investigated, which is the inaugural effort to estimate doses by considering these factors concurrently. The result showed that the impact of stature and posture on radiation doses could largely vary depending on the radiation source, highlighting the importance of simultaneous consideration of stature and posture for accurate dose estimation.

 해당 이미지는 MPPD 프로그램의 GUI 화면을 보여주는 예시입니다. 그림에서 보이는 것처럼, 각 관절에는 트랙볼 형태의 조작점이 설치되어 있어 사용자가 팬텀의 관절을 직관적으로 조작하고 자유롭게 구부릴 수 있습니다. 또한, 자세 변형시 다른 모델을 참고하고자 할 경우, 그림 속 반투명한 검정색 모델처럼 참고 모델을 함께 시각화하여 동시에 확인할 수 있는 기능도 제공하고 있습니다. 이러한 인터페이스는 사용자 편의성과 실용성을 높이며, 다양한 자세 변형 시나리오를 효율적으로 구성할 수 있도록 돕습니다.

Affiliations

Haegin Han 1, Jaehyo Kim 2, Sungho Moon 2, Gahee Son 2, Bangho Shin 2, Hyeonil Kim 2, Suhyeon Kim 2, Chansoo Choi 3, Chan Hyeong Kim 2
1Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institute of Health, 9609, Medical Center Drive, Rockville, MD, 20850.
2Department of Nuclear Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.
3J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32611.