%0 Journal Article
%A Bär, Esther
%A Volz, Lennart
%A Collins-Fekete, Charles-Antoine
%A Brons, Stephan
%A Runz, Armin
%A Schulte, Reinhard Wilhelm
%A Seco, Joao
%T Experimental comparison of photon versus particle computed tomography to predict tissue relative stopping powers.
%J Medical physics
%V 49
%N 1
%@ 2473-4209
%C College Park, Md.
%I AAPM
%M DKFZ-2021-02374
%P 474-487
%D 2022
%Z #LA:E041# / 2022 Jan;49(1):474-487
%X Measurements comparing relative stopping power (RSP) accuracy of state-of-the-art systems representing single-energy and dual-energy computed tomography (SECT/DECT) with proton CT (pCT) and helium CT (HeCT) in biological tissue samples.We used 16 porcine and bovine samples of various tissue types and water, covering an RSP range from 0.90±0.06 to 1.78±0.05. Samples were packed and sealed into 3D-printed cylinders (d = 2 cm, h = 5 cm) and inserted into an in-house designed cylindrical PMMA phantom (d = 10 cm, h = 10 cm). We scanned the phantom in a commercial SECT and DECT (120 kV; 100 kV </td><td width="150">
%X  140 kV/Sn (tin-filtered)); and acquired pCT and HeCT (E ∼ 200 MeV/u, 2∘ steps, ∼ 6.2 × 106 (p)/∼ 2.3 × 106 (He) particles/projection) with a particle imaging prototype. RSP maps were calculated from SECT/DECT using stoichiometric methods and from pCT/HeCT using the DROP-TVS algorithm. We estimated the average RSP of each tissue per modality in cylindrical volumes of interest and compared it to ground truth RSP taken from peak-detection measurements.Throughout all samples, we observe the following root-mean-squared RSP prediction errors ± combined uncertainty from reference measurement and imaging: SECT 3.10±2.88
%K Dual-energy CT (Other)
%K particle CT (Other)
%K proton stopping power (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:34709667
%R 10.1002/mp.15283
%U https://inrepo02.dkfz.de/record/177240