Abstract
Recently, dual energy CT has been routinely used in clinical practice for the applications of bone removal, kidney stone composition differentiation, gout identification, and generating virtual non-contrast images. This is mainly due to the material differentiation capability of dual energy CT in which patients are scanned with two distinguished beam energies. Processing algorithms used to obtain material-specific information were reviewed, including projection-based, image-based and hybrid methods. Pros and cons of each algorithm were compared. Different type of images generated from dual energy data sets (e.g. blended image, material-selective image and energy-selective image) were summarized and appropriate clinical applications were discussed. Finally, dose performance of dual energy CT, in comparison with single energy CT, was analyzed with the consideration of image quality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hounsfield GN (1973) Computerized transverse axial scanning (tomography): part I. description of system. Br J Radiol 46:1016–1022
Macovski A, Alvarez RE, Chan JL, Stonestrom JP, Zatz LM (1976) Energy dependent reconstruction in X-ray computerized tomography. Comput Biol Med 6:325–336
Alvarez RE, Macovski AA (1976) Energy-selective reconstructions in X-ray computerised tomography. Phys Med Biol 21:733–744
Kalender WA, Perman WH, Vetter JR, Klotz E (1986) Evaluation of a prototype dual-energy computed tomographic apparatus. I. Phantom studies. Med Phys 13:334–339
Johnson RJ, Zhu XP, Isherwood I, Morris AI, McVerry BA, Triger DR, Preston FE, Lucas SB (1983) Computed tomography: qualitative and quantitative recognition of liver disease in haemophilia. J Comput Assist Tomogr 7:1000–1006
Cann CE, Gamsu G, Birnberg FA, Webb WR (1982) Quantification of calcium in solitary pulmonary nodules using single- and dual-energy CT. Radiology 145:493–496
Goldberg HI, Cann CE, Moss AA, Ohto M, Brito A, Federle M (1982) Noninvasive quantitation of liver iron in dogs with hemochromatosis using dual-energy CT scanning. Invest Radiol 17:375–380
Adams JE, Chen SZ, Adams PH, Isherwood I (1982) Measurement of trabecular bone mineral by dual energy computed tomography. J Comput Assist Tomogr 6:601–607
Chiro GD, Brooks RA, Kessler RM, Johnston GS, Jones AE, Herdt JR, Sheridan WT (1979) Tissue signatures with dual-energy computed tomography. Radiology 131:521–523
Wang B, Gao Z, Zou Q, Li L (2003) Quantitative diagnosis of fatty liver with dual-energy CT. An experimental study in rabbits. Acta Radiol 44:92–97
Maass C, Baer M, Kachelriess M (2009) Image-based dual energy CT using optimized precorrection functions: a practical new approach of material decomposition in image domain. Med Phys 36:3818–3829
Yu L, Primak AN, Liu X, McCollough CH (2009) Image quality optimization and evaluation of linearly mixed images in dual-source, dual-energy CT. Med Phys 36:1019–1024
Eusemann C, Holmes DI, Schmidt B, Flohr T, Robb R, McCollough C, Hough D, Huprich J, Wittmer M, Siddiki H and Fletcher J (2008) Dual energy CT – how to best blend both energies in one fused image. Proc. SPIE, Vol. 6918, 691803 (2008); doi:10.1117/12.773095
Holmes DR 3rd, Fletcher JG, Apel A, Huprich JE, Siddiki H, Hough DM, Schmidt B, Flohr TG, Robb R, McCollough C, Wittmer M, Eusemann C (2008) Evaluation of non-linear blending in dual-energy computed tomography. Eur J Radiol 68:409–413
Langheinrich AC, Michniewicz A, Sedding DG, Lai B, Jorgensen SM, Bohle RM, Ritman EL (2006) Quantitative x-ray imaging of intraplaque hemorrhage in aortas of apoE−/−/LDL−/− double knockout mice by synchrotron-based micro-CT and X-ray fluorescence microscopy. Invest Radiol 41:645–650
McCollough C, Kantor B, Primak A, Dzyubak O, Krauss B, Schmidt, Flohr T and Ritman E (2006) Fast, dual-energy, multi-slice CT Can discriminate Fe and Ca. Circulation 114(18 suppl) II:724–725
Liu X, Yu L, Primak AN, McCollough CH (2009) Quantitative imaging of element composition and mass fraction using dual-energy CT: three-material decomposition. Med Phys 36:1602–1609
Kachelriess M, Kalender WA (2005) Presampling, algorithm factors, and noise: considerations for CT in particular and for medical imaging in general. Med Phys 32:1321–1334
Kelcz F, Joseph PM, Hilal SK (1979) Noise considerations in dual energy CT scanning. Med Phys 6:418–425
Primak AN, Ramirez Giraldo JC, Liu X, Yu L, McCollough CH (2009) Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration. Med Phys 36:1359–1369
Alvarez RE, Seppi E (1979) A comparison of noise and dose in conventional and energy selective computed tomography. IEEE Trans Nucl Sci 26:2853–2856
Lehmann LA, Alvarez RE, Macovski A, Brody WR, Pelc NJ, Riederer SJ, Hall AL (1981) Generalized image combinations in dual KVP digital radiography. Med Phys 8:659–667
Johnson TR, Krauss B, Sedlmair M, Grasruck M, Bruder H, Morhard D, Fink C, Weckbach S, Lenhard M, Schmidt B, Flohr T, Reiser MF, Becker CR (2007) Material differentiation by dual energy CT: initial experience. Eur Radiol 17:1510–1517
Schmidt B, McCollough CH (2007) Dual-energy computed tomography. In: Thomas C. Gerber, Birgit Kantor, Eric E. Williamson (eds) Computed tomography of the cardiovascular system. Informa Healthcare, London, pp 451–462
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
McCollough, C.H., Schmidt, B., Liu, X., Yu, L., Leng, S. (2011). Dual-Energy Algorithms and Postprocessing Techniques. In: Johnson, T., Fink, C., Schönberg, S., Reiser, M. (eds) Dual Energy CT in Clinical Practice. Medical Radiology(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/174_2010_36
Download citation
DOI: https://doi.org/10.1007/174_2010_36
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01739-1
Online ISBN: 978-3-642-01740-7
eBook Packages: MedicineMedicine (R0)