Title :
Reconstruction for proton computed tomography: a Monte Carlo study
Author :
Li, T. ; Liang, Z. ; Mueller, K. ; Heimann, J. ; Johnson, L. ; Sadrozinski, H. ; Seiden, A. ; Williams, D. ; Zhang, L. ; Peggs, S. ; Satogata, T. ; Bashkirov, V. ; Schult, R.
Author_Institution :
Dept. of Phys., Astron., Radiol., & Comput. Sci., State Univ. of New York, Stony Brook, NY, USA
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 0.5 mm 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.
Keywords :
Monte Carlo methods; computerised tomography; image reconstruction; medical computing; medical image processing; phantoms; proton effects; GEANT4 program; Monte Carlo simulation; X-ray CT image; density contrast settings; filtered backprojection method; image quality; image reconstruction; path estimation; phantom; proton computed tomography; proton transport; spatial resolution; statistical properties; stochastic nature; Biomedical imaging; Computed tomography; Image reconstruction; Medical diagnostic imaging; Medical treatment; Monte Carlo methods; Protons; Solid scintillation detectors; Stochastic processes; X-ray imaging;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2003 IEEE
Print_ISBN :
0-7803-8257-9
DOI :
10.1109/NSSMIC.2003.1352460
