디지털 맘모 디텍터 성능평가를 위한 몬테칼로 시뮬레이션용 ACR 팬텀 작성에 관한 연구

Abstract

In Recent years, the global incidence of breast cancer has been rising, with approximately 2.3 million cases of female breast cancer reported worldwide in 2020. Numerous studies are currently underway to enhance the accuracy of breast cancer diagnosis through the development of digital mammography detectors. This study aims to design an American College of Radiology (ACR) mammographic phantom using Monte Carlo simulation and investigate its utility in evaluating the performance of digital mammography detector. The ACR phantom was described as an acrylic resin box (10.2 cm × 10.8 cm × 4.4 cm) included 16 sets signals (six fibers, five group of specks, and five masses). To confirm the performance of simulated phantom by comparing it with real phantom, the photon interaction data was reconstructed into an image for visual evaluation. Each phantom images were scored by nine radiologic technologists. The simulated signals were distinguishable with signals for fibers ≥ 0.89 mm, group of speck ≥ 0.32 mm, and masses ≥ 0.64 mm. This study demonstrates that the simulation-based breast standard phantom can serve as a valuable tool in the design and performance evaluation of new digital mammography detectors.