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SU‐E‐I‐97: Characterizing the Modulation Transfer Function (MTF) of Proton Radiography
Author(s) -
Seco J,
Oumano M,
Depauw N,
Dias M,
Teixeira R
Publication year - 2012
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 - 10.1118/1.4734814
Subject(s) - imaging phantom , optical transfer function , materials science , proton therapy , radiography , computed radiography , image resolution , proton , nuclear medicine , beam (structure) , monte carlo method , cube (algebra) , optics , biomedical engineering , physics , medicine , radiology , mathematics , image quality , nuclear physics , geometry , computer science , statistics , artificial intelligence , image (mathematics)
Purpose: To characterize the modulation transfer function (MTF) of proton radiography using GEANT4 Monte Carlo simulations. Methods: A phantom was specifically modeled using five main materials: bone (1.92 g/cm 3 ), muscle (1.2 g/cm 3 ), water (1.0 g/cm 3 ), adipose tissue (0.9 g/cm 3 ), and lung (0.3 g/cm 3 ). The basic geometry of the phantom consists of cube‐shaped inserts of biological materials placed in water. The thickness of the water, the size of the cube, the depth of the cube in the water, and the proton beam energy have all been varied and studied. The contrast‐to‐noise ratio (CNR) between the two materials was evaluated at multiple points along a line‐of‐interest (LOI) in order to ultimately characterize the spatial resolution by the 10% point of the modulation‐transfer‐function (MTF10% or MTF 10). Results: The MTF was generated for interfaces of water‐lung, water‐bone, water‐muscle, water‐adipose. This study indicates that proton radiography can distinguish one material from another with a resolution better than 1 mm for water‐adipose and water‐muscle or sub‐millimeter in cases of water‐bone and water‐lung interfaces. Conclusions: The sub‐millimeter resolution of proton radiography offers clinicians a potentially tool in specific tumor diagnostics (such as in lung cancer), patient‐setup for daily proton therapy, and the reduction of absorbed dose delivered when compared to photon imaging.