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Consensus guide on CT-based prediction of stopping-power ratio using a Hounsfield look-up table
- Source :
- ESTRO 2023, 12.-16.05.2023, Vienna, Austria
- Publication Year :
- 2023
-
Abstract
- Purpose/Objective Studies within the European Particle Therapy Network (EPTN) have shown a large variation in the estimation of proton stopping-power ratio (SPR) from computed tomography (CT) scans across European proton centres. To standardise the SPR prediction process, we present a step-by-step guide on the Hounsfield look-up table (HLUT) specification process. This consensus guide was created within the ESTRO Physics Workshop 2021 on CT in radiotherapy in a joint effort with the EPTN Work Package 5 (WP5). Material/Methods The HLUT specification procedure is divided into six steps (Figure 1): 1) phantom setup, 2) CT scanning, 3) CT number extraction, 4) SPR determination, 5) HLUT specification, 6) HLUT evaluation. For each step, considerations and recommendations are given based on literature and additional experimental evaluations. Appropriate phantom inserts are tissue-equivalent for both X-ray and proton interactions and are scanned in head- and body-sized phantoms to mimic different beam hardening conditions. Soft tissue inserts can be scanned together, while bone inserts are scanned individually to avoid imaging artefacts. CT numbers are extracted in material-specific regions-of-interest covering the inner 70% of each phantom insert in-plane and several axial CT slices in scan direction. For an appropriate HLUT specification, the SPR of phantom inserts is experimentally determined in proton range measurements at an energy >200 MeV, and the SPR of tabulated human tissues is computed stoichiometrically at 100 MeV. By including both phantom inserts and tabulated human tissues in the HLUT specification, the influence of the respective dataset-specific uncertainties are mitigated and thus the HLUT accuracy is increased. Piecewise linear regressions are performed between CT numbers and SPRs for four individual tissue segments (lung, adipose, soft tissue and bone) and then connected with straight lines. A thorough but simple validation is finally performed. Results
Details
- Database :
- OAIster
- Journal :
- ESTRO 2023, 12.-16.05.2023, Vienna, Austria
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1415598947
- Document Type :
- Electronic Resource