BROWSE
Detail
Conference Paper
방사선치료계획의 정확도를 높이기 위한 PCD 영상 및 딥러닝 기반 물질분별에 관한 연구
Cited - time in 
Share 
Share
- Issue Date
- 2022-06
- Citation
- 대한전자공학회 학술 대회 (하계) 2022, pp.1101-1103
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- The purpose of this study is to reduce the error of the existing single-energy CT-based correction method and perform material decomposition to generate an accurate correction curve using PCDbased dual-energy CT image and deep learning method for accurate dose calculation. Materials in the calibration phantom were well decomposed, and bones and soft tissues in the head phantom were separately expressed.
- KSP Keywords
- CT image, Calibration phantom, Correction method, Deep learning method, Dose calculation, Material decomposition, Soft tissue, deep learning(DL), dual-energy CT