Iterative correction of beam hardening artifacts in CT

被引:113
作者
Van Gompel, G. [1 ,2 ]
Van Slambrouck, K. [3 ]
Defrise, M. [4 ]
Batenburg, K. J. [1 ,5 ]
de Mey, J. [2 ]
Sijbers, J. [1 ]
Nuyts, J. [3 ]
机构
[1] Univ Antwerp, IBBT Vis Lab, B-2610 Antwerp, Belgium
[2] UZ Brussel VUB, Dept Radiol, B-1090 Brussels, Belgium
[3] Katholieke Univ Leuven, Dept Nucl Med, B-3000 Louvain, Belgium
[4] Vrije Univ Brussel, Dept Nucl Med, B-1040 Brussels, Belgium
[5] Ctr Wiskunde & Informat, NL-1098 XG Amsterdam, Netherlands
关键词
computed tomography; beam hardening; COMPUTED-TOMOGRAPHY; IMAGE-RECONSTRUCTION; ALGORITHM; BONE; QUALITY; MODEL;
D O I
10.1118/1.3577758
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To reduce beam hardening artifacts in CT in case of an unknown x-ray spectrum and unknown material properties. Methods: The authors assume that the object can be segmented into a few materials with different attenuation coefficients, and parameterize the spectrum using a small number of energy bins. The corresponding unknown spectrum parameters and material attenuation values are estimated by minimizing the difference between the measured sinogram data and a simulated polychromatic sinogram. Three iterative algorithms are derived from this approach: two reconstruction algorithms IGR and IFR, and one sinogram precorrection method ISP. Results: The methods are applied on real x-ray data of a high and a low-contrast phantom. All three methods successfully reduce the cupping artifacts caused by the beam polychromaticity in such a way that the reconstruction of each homogeneous region is to good accuracy homogeneous, even in case the segmentation of the preliminary reconstruction image is poor. In addition, the results show that the three methods tolerate relatively large variations in uniformity within the segments. Conclusions: We show that even without prior knowledge about materials or spectrum, effective beam hardening correction can be obtained. (c) 2011 American Association of Physicists in Medicine. [DOI: 10.1118/1.3577758]
引用
收藏
页码:S36 / S49
页数:14
相关论文
共 36 条
[1]   ENERGY-SELECTIVE RECONSTRUCTIONS IN X-RAY COMPUTERIZED TOMOGRAPHY [J].
ALVAREZ, RE ;
MACOVSKI, A .
PHYSICS IN MEDICINE AND BIOLOGY, 1976, 21 (05) :733-744
[2]   CT of Coronary Artery Disease [J].
Bastarrika, Gorka ;
Lee, Yeong Shyan ;
Huda, Walter ;
Ruzsics, Balazs ;
Costello, Philip ;
Schoepf, U. Joseph .
RADIOLOGY, 2009, 253 (02) :317-338
[3]   Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization [J].
Batenburg, K. J. ;
Sijbers, J. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2009, 28 (05) :676-686
[4]  
Birch R., 1979, CATALOGUE SPECTRAL D
[5]  
Censor Y., 1985, Mathematical Methods in the Applied Sciences, V7, P108
[6]   An iterative maximum-likelihood polychromatic algorithm for CT [J].
De Man, B ;
Nuyts, J ;
Dupont, P ;
Marchal, G ;
Suetens, P .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (10) :999-1008
[7]   A MODIFIED EXPECTATION MAXIMIZATION ALGORITHM FOR PENALIZED LIKELIHOOD ESTIMATION IN EMISSION TOMOGRAPHY [J].
DEPIERRO, AR .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1995, 14 (01) :132-137
[8]   Segmentation-free statistical image reconstruction for polyenergetic x-ray computed tomography with experimental validation [J].
Elbakri, IA ;
Fessler, JA .
PHYSICS IN MEDICINE AND BIOLOGY, 2003, 48 (15) :2453-2477
[9]   PRACTICAL CONE-BEAM ALGORITHM [J].
FELDKAMP, LA ;
DAVIS, LC ;
KRESS, JW .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1984, 1 (06) :612-619
[10]  
FUCHS T, 1998, THESIS FRIEDRICHALEX