Relative stopping power measurements and prosthesis artifacts reduction in proton CT

Civinini, C.; Scaringella, M.; Brianzi, M.; Intravaia, Matteo; Randazzo, N.; Sipala, V.; Rovituso, Marta; Tommasino, Francesco; Schwarz, Marco; Bruzzi, M.

doi:10.1088/1361-6560/abb0c8

Cited by 17 publications

(25 citation statements)

References 40 publications

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“…All together, these results may demonstrate that a single-proton tracking methodology is necessary to achieve significant results with this detector design. Indeed, the imaging equation of Wang et al [28]-with an ART and a YAG:Ce calorimeter-has been tested on a calibration phantom with a similar distribution of tissue substitutes by Civinini et al [53], with more accurate results.…”

Section: Discussionmentioning

confidence: 99%

Reconstructed pCT Images Using Monte Carlo Simulations of a Scintillating Glass Detector

Zieser¹,

Akgun²,

Onel³

2022

Preprint

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The high cost and low image quality traditionally associated with proton computed tomography (pCT) have prevented it from seeing significant use in clinical settings. A cheap, compact, high-density scintillating glass detector capable of being attached to existing proton therapy gantries may help address these concerns. The design of the detector allows for use in conjunction with single-proton counting reconstruction algorithms, as well as beam-based algorithms that do not resolve individual protons within an accelerator bunch. This study presents quantitative reconstructed images of proton stopping power from Monte Carlo generated pCT scans using the radiation transport code MCNP6, demonstrating the feasibility of proton imaging using this detector design. Relative error and contrast have been examined and compared for images reconstructed using two reconstruction algorithms: a standard filtered backprojection algorithm to act as a benchmark, and a variant of a pCT algorithm which utilizes the concept of distancedriven binning.

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Section: Discussionmentioning

confidence: 99%

Reconstructed pCT Images Using Monte Carlo Simulations of a Scintillating Glass Detector

Zieser¹,

Akgun²,

Onel³

2022

Preprint

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“…Indeed, since the same materials as those present in the anthropomorphic phantom were used to generate the conventional CT calibration, an ideal phantom‐specific HU into mass density translation was obtained in the first step of the calibration. Considering that the accuracy of the pCT images was previously assessed 14 and resulted within 1% in soft and high density materials, the final inaccuracy of the conventional calibration is linked to the way the TPS translates mass density into SPR in the second step of the calibration. In fact, it was based on an internal set of reference materials, which do not correspond to the tissue substitutes in the phantom.…”

Section: Discussionmentioning

confidence: 99%

“…A detailed description of our pCT apparatus with tomographic reconstructions is reported elsewhere 14 . In summary, the pCT system is made of four planes of silicon micro‐strip tracker and a YAG:Ce scintillating calorimeter.…”

Section: Methodsmentioning

confidence: 99%

Technical Note: CT calibration for proton treatment planning by cross‐calibration with proton CT data

et al. 2021

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Purpose This study explores the possibility of a new method for x‐ray computed tomography (CT) calibration by means of cross‐calibration with proton CT (pCT) data. The proposed method aims at a more accurate conversion of CT Hounsfield Units (HU) into proton stopping power ratio (SPR) relative to water to be used in proton‐therapy treatment planning. Methods X‐ray CT scan was acquired on a synthetic anthropomorphic phantom, composed of different tissue equivalent materials (TEMs). A pCT apparatus was instead adopted to obtain a reference three‐dimensional distribution of the phantom’s SPR values. After rigid registration, the x‐ray CT was artificially blurred to the same resolution of pCT. Then a scatter plot showing voxel‐by‐voxel SPR values as a function of HU was employed to link the two measurements and thus obtaining a cross‐calibrated x‐ray CT calibration curve. The cross‐calibration was tested at treatment planning system and then compared with a conventional calibration based on exactly the same TEMs constituting the anthropomorphic phantom. Results Cross‐calibration provided an accurate SPR mapping, better than by conventional TEMs calibration. The dose distribution of single beams optimized on the reference SPR map was recomputed on cross‐calibrated CT, showing, with respect to conventional calibration, minor deviation at the dose fall‐off (lower than 1%). Conclusions The presented data demonstrated that, by means of reference pCT data, a heterogeneous phantom can be used for CT calibration, paving the way to the use of biological samples, with their accurate description of patients’ tissues. This overcomes the limitations of conventional CT calibration requiring homogenous samples, only available by synthetic TEMs, which fail in accurately mimicking the properties of biological tissues. Once a heterogeneous biological sample is provided with its corresponding reference SPR maps, a cross‐calibration procedure could be adopted by other PT centers, even when not equipped with a pCT system.

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“…For a voxel-wise SPR validation in patients, proton CT would be one possible method. Recently, improvements have been made and clinical prototype systems have emerged [38,39]. However, its potential benefit over dual-energy CT has yet to be demonstrated in clinical application [5,15,40].…”

Section: Discussionmentioning

confidence: 99%

Costs of Definitive Chemoradiation, Surgery, and Adjuvant Radiation Versus De-Escalated Adjuvant Radiation per MC1273 in HPV+ Cancer of the Oropharynx

Waddle

Daniel

Visscher

et al. 2021

International Journal of Radiation Oncology*Biology*Physics

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Relative stopping power measurements and prosthesis artifacts reduction in proton CT

Cited by 17 publications

References 40 publications

Reconstructed pCT Images Using Monte Carlo Simulations of a Scintillating Glass Detector

Reconstructed pCT Images Using Monte Carlo Simulations of a Scintillating Glass Detector

Technical Note: CT calibration for proton treatment planning by cross‐calibration with proton CT data

Costs of Definitive Chemoradiation, Surgery, and Adjuvant Radiation Versus De-Escalated Adjuvant Radiation per MC1273 in HPV+ Cancer of the Oropharynx

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