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TU‐FG‐BRB‐04: A New Optimization Method for Pre‐Treatment Patient‐Specific Stopping‐Power by Combining Proton Radiography and X‐Ray CT
Author(s) -
CollinsFekete C,
Schulte R,
Beaulieu L,
Seco J
Publication year - 2016
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4957544
Subject(s) - imaging phantom , proton therapy , stopping power , nuclear medicine , hounsfield scale , medical imaging , computed radiography , radiography , mathematics , proton , physics , computer science , computed tomography , medicine , radiology , optics , image quality , artificial intelligence , detector , image (mathematics) , nuclear physics
Purpose: The relative stopping power (RSP) uncertainty is the largest contributor to the range uncertainty in proton therapy. The purpose of this work is to develop a robust and systematic method that yields accurate patient specific RSPs by combining pre‐treatment X‐ray CT and daily proton radiography. Methods: The method is formulated as a penalized least squares optimization (PLSO) problem min(|Ax‐B|). The matrix A represents the cumulative path‐length crossed in each material computed by calculating proton trajectories through the X‐ray CT. The material RSPs are denoted by x and B is the pRad, expressed as water equivalent thickness. The equation is solved using a convex‐conic optimizer. Geant4 simulations were made to assess the feasibility of the method. RSP extracted from the Geant4 materials were used as a reference and the clinical HU‐RSP curve as a comparison. The PLSO was first tested on a Gammex RMI‐467 phantom. Then, anthropomorphic phantoms of the head, pelvis and lung were studied and resulting RSPs were evaluated. A pencil beam was generated in each phantom to evaluate the proton range accuracy achievable by using the optimized RSPs. Finally, experimental data of a pediatric head phantom (CIRS) were acquired using a recently completed experimental pCT scanner. Results: Numerical simulations showed precise RSP (<0.75%) for Gammex materials except low‐density lung (LN‐300) (1.2%). Accurate RSP have been obtained for the head (µ=−0.10%, 1.5σ=1.12%), lung (µ=−0.33, 1.5σ=1.02%) and pelvis anthropomorphic phantoms (µ=0.12, 1.5σ=0,99%). The range precision has been improved with an average R80 difference to the reference (µ±1.5σ) of −0.20±0.35%, −0.47±0.92% and −0.06±0.17% in the head, lung and pelvis phantoms respectively, compared to the 3.5% clinical margin. Experimental HU‐RSP curve have been produced on the CIRS pediatric head. Conclusion: The proposed PLSO with prior knowledge X‐ray CT shows promising potential (R80 σ<1.0% over all sites) to decrease the range uncertainty.