Reconstruction for proton computed tomography: A monte carlo study

T. Li; Z. Liang; K. Mueller; J. Heimann; L. Johnson; H. Sadrozinski; A. Seiden; D. Williams; L. Zhang; S. Peggs; T. Satogata; V. Bashkirov; R. Schulte

doi:10.1109/NSSMIC.2003.1352460

Reconstruction for proton computed tomography: A monte carlo study

T. Li, Z. Liang, K. Mueller, J. Heimann, L. Johnson, H. Sadrozinski, A. Seiden, D. Williams, L. Zhang, S. Peggs, T. Satogata, V. Bashkirov, R. Schulte

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Advantages of proton computed tomography (pCT) have been recognized in the past. However, the quality of a pCT image may be limited due to the stochastic nature of the proton path inside the object. In this work, we report a preliminary study on reconstruction of pCT image with improved path estimation. A set of Monte Carlo simulations was carried out with the GEANT4 program, and reconstructed by filtered backprojection method. Simulations with different density contrast settings were compared, and spatial resolution around 0.5mm for the highest contrast phantom was achieved, which is comparable to that of x-ray CT image. Further improvement by utilizing the statistical properties of proton transport is expected and is under progress.

Original language	American English
Title of host publication	2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)
Pages	2767-2770
Number of pages	4
Volume	4
DOIs	https://doi.org/10.1109/NSSMIC.2003.1352460
State	Published - Nov 8 2004
Event	2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States Duration: Oct 19 2003 → Oct 25 2003

Publication series

Name	IEEE Nuclear Science Symposium

Conference

Conference	2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference
Country/Territory	United States
City	Portland, OR
Period	10/19/03 → 10/25/03

ASJC Scopus Subject Areas

Radiation
Nuclear and High Energy Physics
Radiology Nuclear Medicine and imaging

Disciplines

Physics
Medical Biophysics

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Li, T., Liang, Z., Mueller, K., Heimann, J., Johnson, L., Sadrozinski, H., Seiden, A., Williams, D., Zhang, L., Peggs, S., Satogata, T., Bashkirov, V., & Schulte, R. (2004). Reconstruction for proton computed tomography: A monte carlo study. In 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515) (Vol. 4, pp. 2767-2770). (IEEE Nuclear Science Symposium). https://doi.org/10.1109/NSSMIC.2003.1352460

Li, T, Liang, Z, Mueller, K, Heimann, J, Johnson, L, Sadrozinski, H, Seiden, A, Williams, D, Zhang, L, Peggs, S, Satogata, T, Bashkirov, V & Schulte, R 2004, Reconstruction for proton computed tomography: A monte carlo study. in 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). vol. 4, IEEE Nuclear Science Symposium, pp. 2767-2770, 2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference, Portland, OR, United States, 10/19/03. https://doi.org/10.1109/NSSMIC.2003.1352460

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author = "T. Li and Z. Liang and K. Mueller and J. Heimann and L. Johnson and H. Sadrozinski and A. Seiden and D. Williams and L. Zhang and S. Peggs and T. Satogata and V. Bashkirov and R. Schulte",

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AU - Mueller, K.

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AU - Johnson, L.

AU - Sadrozinski, H.

AU - Seiden, A.

AU - Williams, D.

AU - Zhang, L.

AU - Peggs, S.

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AB - Advantages of proton computed tomography (pCT) have been recognized in the past. However, the quality of a pCT image may be limited due to the stochastic nature of the proton path inside the object. In this work, we report a preliminary study on reconstruction of pCT image with improved path estimation. A set of Monte Carlo simulations was carried out with the GEANT4 program, and reconstructed by filtered backprojection method. Simulations with different density contrast settings were compared, and spatial resolution around 0.5mm for the highest contrast phantom was achieved, which is comparable to that of x-ray CT image. Further improvement by utilizing the statistical properties of proton transport is expected and is under progress.

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ER -

Reconstruction for proton computed tomography: A monte carlo study

Abstract

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ASJC Scopus Subject Areas

Disciplines

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