Characterizing the modulation transfer function (MTF) of proton/carbon radiography using Monte Carlo simulations

Seco, Joao; Oumano, Michael; Depauw, Nicolas; Dias, M; Teixeira, Rui Pedro A. G.; Spadea, Maria Francesca

doi:10.1118/1.4819816

Cited by 24 publications

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“…In recent years, several papers have been published on the subject of ion radiography and tomography, which is a promising new image modality. [2][3][4][5][6][7][8][9][10][11][12] Ion CT is similar to the more traditional x-ray CT, but uses the energy loss of protons and other light ions as the method of generating medical images, rather than the attenuation of x-rays. This has several advantages, the most important of which is the fact that it produces an in vivo map of the relative stopping power of the patient.…”

Section: Introductionmentioning

confidence: 99%

The image quality of ion computed tomography at clinical imaging dose levels

et al. 2014

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Section: Introductionmentioning

confidence: 99%

The image quality of ion computed tomography at clinical imaging dose levels

et al. 2014

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“…A regression to a sigmoid function was performed to suppress noise. The MTF 10% was used to characterize the spatial resolution of the imaging system, in lp/cm …”

Section: Methodsmentioning

confidence: 99%

Helium CT: Monte Carlo simulation results for an ideal source and detector with comparison to proton CT

et al. 2018

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“…Inspired by the study by Seco et al [7], a phantom ( Fig. 2) was simulated for the purpose of determining a modulation transfer function (MTF).…”

Section: Phantom Designmentioning

confidence: 99%

Spatial resolution studies for a prototype proton CT scanner

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et al. 2014

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

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A GEANT4 simulation of the phase II proton CT (pCT) scanner built by the pCT collaboration was used in order to study the spatial resolution of the imaging system. A digital edge phantom composed of water-equivalent polymer with 6 body-equivalent material inserts was created. A modified version of the oversampling method was used in order to construct edge spread functions and modulation transfer functions for materials of varying relative stopping power located at several radial displacements from the center of the phantom. It was determined that for a binning size of 1 mm x 2.5 mm and image pixel size of 1 mm 2 , the limiting resolution observed was 50-75% of the Nyquist frequency. This result could be improved to 60-85% of the Nyquist frequency by reducing the binning size for the filtered back projection to 0.5 mm x 2.5 mm.Index Terms-proton imaging, tomographic reconstruction of material properties, spatial resolution, modulation transfer function, oversampling method I. I NTRODUCTION I NCREASING use of proton radiation therapy for cancer patients has inspired research into new imaging methods that can improve the accuracy of proton range estimates in radiation therapy planning. X-ray computed tomography (CT) has been shown to give insufficiently accurate maps of relative stopping power (RSP), mostly due to uncertainty in converting CT Hounsfield values to RSP. Since stopping of proton beams near organs at risk (e.g. the spinal cord) requires precise knowledge of proton stopping power, this research has become a high priority for the further development of image-guided proton therapy.In the phase II pCT scanner, a low-intensity cone beam of 200 Me V protons traverses the patient. Entry and exit positions and vectors and the residual energy are measured for each proton. The residual energy is transformed into water equivalent path length (WEPL) using a calibration method [ll Based on the WEPL of many protons traversing the object from many directions, one can reconstruct a 3-dimensional Manuscript

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Characterizing the modulation transfer function (MTF) of proton/carbon radiography using Monte Carlo simulations

Cited by 24 publications

References 24 publications

The image quality of ion computed tomography at clinical imaging dose levels

The image quality of ion computed tomography at clinical imaging dose levels

Helium CT: Monte Carlo simulation results for an ideal source and detector with comparison to proton CT

Spatial resolution studies for a prototype proton CT scanner

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