TY  - JOUR
AU  - Medrano, Maria Jose
AU  - Chen, Xinyuan
AU  - Burigo, Lucas Norberto
AU  - O'Sullivan, Joseph A
AU  - Williamson, Jeffrey F
TI  - Derivation of Tissue Properties from Basis-Vector Model Weights for Dual-Energy CT-Based Monte Carlo Proton Beam Dose Calculations.
JO  - Biomedical physics & engineering express
VL  - 12
IS  - 1
SN  - 2057-1976
CY  - Bristol
PB  - IOP Publ.
M1  - DKFZ-2025-02675
SP  - 015027
PY  - 2026
N1  - 2026, Volume 12, Number 1, 015027 / Burigo
AB  - We propose a novel method, basis vector model material indexing (BVM-MI), for predicting atomic composition and mass density from two independent basis vector model weights derived from dual-energy CT (DECT) for Monte Carlo (MC) dose planning. Approach: BVM-MI employs multiple linear regression on BVM weights and their quotient to predict elemental composition and mass density for 70 representative tissues. Predicted values were imported into the TOPAS MC code to simulate proton dose deposition to a uniform cylinder phantom composed of each tissue type. The performance of BVM-MI was compared to the conventional Hounsfield Unit material indexing method (HU-MI), which estimates elemental composition and density based on CT numbers (HU). Evaluation metrics included absolute errors in predicted elemental compositions and relative percent errors in calculated mass density and mean excitation energy. Dose distributions were assessed by quantifying absolute error in the depth of 80
KW  - Basis-vector Model (Other)
KW  - Dual-energy CT (Other)
KW  - Material decomposition (Other)
KW  - Monte Carlo dose calculations (Other)
KW  - Proton therapy (Other)
KW  - Stopping power estimation (Other)
KW  - Tissue property derivation (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:41325629
DO  - DOI:10.1088/2057-1976/ae2622
UR  - https://inrepo02.dkfz.de/record/306683
ER  -