Influence of beam hardening in dualenergy CT imaging: phantom study for iodine mapping, virtual monoenergetic imaging, and virtual non-contrast imaging

1. Jacobsen MC, Schellingerhout D, Wood CA et al (2018)Intermanufacturer

comparison of dual-energy CT iodine quantification and monochromatic

attenuation: a phantom study. Radiology 287:224–234. https://doi.org/1

0.1148/radiol.2017170896

2. Li JH, Du YM, Huang HM (2015) Accuracy of dual-energy computed

tomography for the quantification of iodine in a soft tissue-mimicking

phantom. J Appl Clin Med Phys 16:418–426. https://doi.org/10.1120/jacmp.

v16i5.5519

3. Winklhofer S, Lambert JW, Sun Y, Wang ZJ, Sun DS, Yeh BM (2017) Pelvic

beam-hardening artifacts in dual-energy CT image reconstructions:

occurrence and impact on image quality. AJR Am J Roentgenol 208:114–

123. https://doi.org/10.2214/AJR.16.16013

4. Braig E, Böhm J, Dierolf M et al (2018) Direct quantitative material

decomposition employing grating-based x-ray phase-contrast CT. Sci Rep 9:

11076. https://doi.org/10.1038/s41598-018-34809-6

5. Sugawara H, Takayanagi T, Ishikawa T, Katada Y, Fukui R, Yamamoto Y,

Suzuki S (2020) New fast kVp switching dual-energy CT: reduced severity of

beam hardening artifacts and improved image quality in reduced-iodine

virtual monochromatic Imaging. Acad Radiol 27:1586–1593. https://doi.org/1

0.1016/j.acra.2019.11.015

6. Wu R, Watanabe Y, Satoh K, Liao YP, Takahashi H, Tanaka H, Tomiyama N

(2018) Quantitative comparison of virtual monochromatic images of dual

energy computed tomography systems: beam hardening artifact correction

and variance in computed tomography numbers: a phantom study. J

Comput Assist Tomogr 42:648–654. https://doi.org/10.1097/RCT.

0000000000000726

7. Graser A, Johnson TR, Hecht EM et al (2009) Dual-energy CT in patients

suspected of having renal masses: can virtual nonenhanced images replace

true nonenhanced images? Radiology 252:433–440. https://doi.org/10.1148/

radiol.2522080557

8. Huh W, Fessler JA (2009) Model-based image reconstruction for dual-energy

x-ray CT with fast KVP switching. In: Proceedings of the IEEE International

Symposium on Biomedical Imaging: From Nano to Macro, pp 326–329.

https://doi.org/10.1109/TMI.2013.2282370

9. Brooks RA, Di Chiro G (1976) Beam hardening in x-ray reconstructive

tomography. Phys Med Biol 21:390–398. https://doi.org/10.1088/0031-91

55/21/3/004

10. Meganck JA, Kozloff KM, Thornton MM, Broski SM, Goldstein SA (2009)

Beam hardening artifacts in micro-computed tomography scanning can be

reduced by x-ray beam filtration and the resulting images can be used to

accurately measure BMD. Bone 45:1104–1116. https://doi.org/10.1016/j.

bone.2009.07.078

11. Long Y, Fessler JA (2014) Multi-material decomposition using statistical

image reconstruction for spectral CT. IEEE Trans Med Imaging 33:1614–1626.

https://doi.org/10.1109/TMI.2014.2320284

12. Liu X, Yu L, Primak AN, McCollough CH (2009) Quantitative imaging of

element composition and mass fraction using dual-energy CT: threematerial decomposition. Med Phys 36:1602–1609. https://doi.org/10.1118/1.3

097632

13. Pinho DF, Kulkarni NM, Krishnaraj A, Kalva SP, Sahani DV (2013) Initial

experience with single-source dual-energy CT abdominal angiography and

comparison with single-energy CT angiography: image quality,

enhancement, diagnosis and radiation dose. Eur Radiol 23:351–359. https://

doi.org/10.1007/s00330-012-2624-x

14. Zhang LJ, Peng J, Wu SY, Wang ZJ, Wu XS, Zhou CS, Ji XM, Lu GM (2010)

Liver virtual non-enhanced CT with dual-source, dual-energy CT: a

preliminary study. Eur Radiol 20:2257–2264. https://doi.org/10.1007/s00330010-1778-7

15. Durieux P, Gevenois PA, Muylem AV, Howarth N, Keyzer C (2018) Abdominal

attenuation values on virtual and true unenhanced images obtained with

third-generation dual-source dual-energy CT. AJR Am J Roentgenol 210:

1042–1058. https://doi.org/10.2214/AJR.17.18248

16. Ananthakrishnan L, Rajiah P, Ahn R et al (2017) Spectral detector CT-derived

virtual non-contrast images: comparison of attenuation values with

unenhanced CT. Abdom Radiol (NY) 42:702–709. https://doi.org/10.1007/

s00261-016-1036-9

Kanatani et al. European Radiology Experimental

(2021) 5:18

17. De Cecco CN, Buffa V, Fedeli S et al (2010) Dual energy CT (DECT) of the

liver: conventional versus virtual unenhanced images. Eur Radiol 20:2870–

2875. https://doi.org/10.1007/s00330-010-1874-8

18. De Cecco CN, Darnell A, Macías N et al (2013) Virtual unenhanced images

of the abdomen with second-generation dual-source dual-energy

computed tomography: image quality and liver lesion detection. Invest

Radiol 48:1–9. https://doi.org/10.1097/RLI.0b013e31826e7902

19. Taguchi N, Oda S, Nakaura T et al (2018) Contrast enhancement in

abdominal computed tomography: influence of photon energy of different

scanners. Br J Radiol 91:1081. https://doi.org/10.1259/bjr.20170285

20. Taguchi N, Oda S, Utsunomiya D et al (2017) Using 80 kVp on a 320-row

scanner for hepatic multiphasic CT reduces the contrast dose by 50 % in

patients at risk for contrast-induced nephropathy. Eur Radiol 27:812–820.

https://doi.org/10.1007/s00330-016-4435-y

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in

published maps and institutional affiliations.

Page 8 of 8

...