To develop an efficient beam hardening correction for medical diagnostic X-ray CT(computed tomography)
an analytic calculation method was proposed to simulate polychromatic X-ray projections. The method combines the energy spectrum distribution of X-ray source
geometrical shapes and material compositions of sub-regions of phantoms. Firstly
CT values are mapped into material compositions under the precondition that only human being tissues are considered. And then
boundaries of sub-regions are determined by the proposed analytic method. Finally
projections are calculated according to the energy spectrum distribution of X-ray source. Compared with the linear integral projecting
the proposed method can not only generate more realistic projections
but also provide a unified projection data for beam hardening correction and CT reconstruction. Experiments of FORBILD head phantom show that the CT-value inconsistency error of bone correction in bone region is lower than the water correction around 4-5Hu
but higher than the monochromatic reconstruction around 5-6Hu.
TANG Shaojie, MOU Xuanqin, YAN Hao. Simulation calculation of phantom projections based on physics model of medical X-ray imaging [J]. Journal of Xi'an Jiaotong University, 2006, 40(8): 901-905.
TANG Shaojie, YU Hengyong, YAN Hao, et al. X-ray projection simulation based on physical imaging model [J]. Journal of X-ray Science and Technology, 2006, 14(3): 177-189.
MOU Xuanqin, TANG Shaojie, YU Hengyong. Comparison on beam hardening correction of CT-based HL consistency and normal water phantom experiment [DB/OL].(2006-07-07)[2007-08-01]. http:∥spiedigitallibrary. aip. org/getpdf/servlet/GetPDFSer- vlet?filetype=pdfid=PSIS/DG00631-800000163181V000001idtype=cvips.
MOU Xuanqin, TANG Shaojie, YU Hengyong. A beam hardening correction method with HL consistency [OB/OL](2006-07-07)[2007-08-01]. http:∥spiedigitallibrary. aip. org/getpdf/servlet/GetPDFSer- vlet?filetype=pdfid=PSISDG00631-8000001631181U000001idtype=cvips.
MCDAVID W D, WAGGENER R G, PAYNE W H, et al. Correction for spectral artifacts in cross-sectional reconstruction for X-rays [J]. Med Phys, 1977, 4(1): 54-57.
JOSEPH P M, SPITAL R D. A method for correcting bone induced artifacts in computed tomography scanners [J]. Journal of Computer Assisted Tomography, 1978, 2(1): 100-108.
KACHELRIEβ M, SOURBELLE K, KALENDER W A. Empirical cupping correction: a first-order raw data precorrection for cone-beam computed tomography [J]. Med Phys, 2006, 33(5): 1269-1274.
LAURITSCH G, BRUDER H. Head phantom [EB/OL].(1998-01-01)[2007-08-01]. http://www.imp.uni-erlangen.de/forbild/english/results/index.htm.
WILFRIED S, THOMAS B, WOLFGANG S. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions [J]. Physics in Medicine and Biology, 2000, 45(2): 459-478.
National Institute of Standards and Technology, Physics Laboratory. XCOM: photon cross sections database [EB/OL].(1998-01-01)[2007-08-01]. http://physics.nist.gov/PhysRefData/Xcom/Text/XCOM.html.
BOONE J M, SEIBERT J A. An accurate method for computer-generating tungsten anode X-ray spectra from 30 to 140 keV [J]. Medical Physics, 1997, 24(11): 1661-1670.
WANG Ge, LIN Tein-Hsiang, CHENG Ping-Cin, et al. A general cone-beam reconstruction algorithm [J]. IEEE Transaction on Medical Imaging, 1993, 12(3): 486-496.