Enhancement of Stopping Power Ratio (SPR) Estimation Accuracy through Image-Domain Dual-Energy Computer Tomography for Pencil Beam Scanning System: A Simulation Study

Dong Han, Shuangyue Zhang, Sixia Chen, Hamed Hooshangnejad, Francis Yu, Kai Ding, Haibo Lin

Research output: Contribution to journalArticlepeer-review

Abstract

Our study aims to quantify the impact of spectral separation on achieved theoretical prediction accuracy of proton-stopping power when the volume discrepancy between calibration phantom and scanned object is observed. Such discrepancy can be commonly seen in our CSI pediatric patients. One of the representative image-domain DECT models is employed on a virtual phantom to derive electron density and effective atomic number for a total of 34 ICRU standard human tissues. The spectral pairs used in this study are 90 kVp/140 kVp, without and with 0.1 mm to 0.5 mm additional tin filter. The two DECT images are reconstructed via a conventional filtered back projection algorithm (FBP) on simulated noiseless projection data. The best-predicted accuracy occurs at a spectral pair of 90 kVp/140 kVp with a 0.3 mm tin filter, and the root-mean-squared average error is 0.12% for tissue substitutes. The results reveal that the selected image-domain model is sensitive to spectral pair deviation when there is a discrepancy between calibration and scanning conditions. This study suggests that an optimization process may be needed for clinically available DECT scanners to yield the best proton-stopping power estimation.

Original languageEnglish (US)
Article number467
JournalCancers
Volume16
Issue number2
DOIs
StatePublished - Jan 2024

Keywords

  • dual-energy CT
  • pencil beam scanning
  • proton therapy
  • stopping power estimation

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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