Potential of high-Z contrast agents in clinical contrast-enhanced computed tomography

Medical Physics

Volumn 38, Issue 12, 2011, Pages 6469-6482

  Nowak, Tristan ^a   Hupfer, Martin ^a   Brauweiler, Robert ^a   Eisa, Fabian ^a   Kalender, Willi A ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

computed tomography; contrast agents; contrast media; high atomic number; high Z

Indexed keywords

ATOMS; BISMUTH; COMPUTERIZED TOMOGRAPHY; CYLINDERS (SHAPES); GADOLINIUM; GOLD; HAFNIUM; HARDNESS; HOLMIUM; IODINE; PHANTOMS; SCANNING; TUNGSTEN; YTTERBIUM;

ATOMIC NUMBERS; CONTRAST AGENT; CONTRAST TO NOISE RATIO; CONTRAST-ENHANCED; CONTRAST-TO-NOISE; HIGH-Z; REFERENCE VOLTAGES; WATER EQUIVALENT;

CONTRAST MEDIA;

EID: 82755198779     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3658738     Document Type: Article

References (28)

1. H. Pietsch, U. Hbner-Steiner, and P. Seidensticker, X-Ray Contrast Media (Wiley-VCH Verlag GmbH Co. KGaA, 2000).
2. M. Huckman, Clinical experience with the intravenous infusion of iodinated contrast material as an adjunct to computed tomography., Surg. Neurol. 4, 297-318 (1975).
3. H. Scheffel, P. Stolzmann, T. Frauenfelder, T. Schertler, L. Desbiolles, S. Leschka, B. Marincek, and H. Alkadhi, Dual-energy contrast-enhanced computed tomography for the detection of urinary stone disease., Invest. Radiol. 42, 823-829 (2007). 10.1097/RLI.0b013e3181379bac (Pubitemid 350126564)
4. P. Stolzmann, S. Leschka, H. Scheffel, K. Rentsch, S. Baumuller, L. Desbiolles, B. Schmidt, B. Marincek, and H. Alkadhi, Characterization of urinary stones with dual-energy CT: Improved differentiation using a tin filter., Invest. Radiol. 45, 1-6 (2010). 10.1097/RLI.0b013e3181b9dbed
5. A. N. Primak, J. C. Ramirez Giraldo, X. Liu, L. Yu, and C. H. McCollough, Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration., Med. Phys. 36, 1359-1369 (2009). 10.1118/1.3083567
6. B. Sitharaman, K. R. Kissell, K. B. Hartman, L. A. Tran, A. Baikalov, I. Rusakova, Y. Sun, H. A. Khant, S. J. Ludtke, and W. Chiu, Superparamagnetic gadonanotubes are high-performance MRI contrast agents., Chem. Commun. (Cambridge) 31, 3915-3917 (2005). 10.1039/b504435a (Pubitemid 41206205)
7. E. Boote, G. Fent, V. Kattumuri, S. Casteel, K. Katti, N. Chanda, R. Kannan, and R. Churchill, Gold nanoparticle contrast in a phantom and juvenile swine: models for molecular imaging of human organs using x-ray computed tomography., Acad. Radiol. 17, 410-417 (2010). 10.1016/j.acra.2010.01.006
8. F. Hyafil, J. C. Cornily, J. E. Feig, R. Gordon, E. Vucic, V. Amirbekian, E. A. Fisher, V. Fuster, L. J. Feldman, and Z. A. Fayad, Noninvasive detection of macrophages using a nanoparticulate contrast agent for computed tomography., Nat. Med. 13, 636-641 (2007). 10.1038/nm1571 (Pubitemid 46828482)
9. B. Aydogan, J. Li, T. Rajh, A. Chaudhary, S. J. Chmura, C. Pelizzari, C. Wietholt, M. Kurtoglu, and P. Redmond, AuNP-DG: Deoxyglucose-labeled gold nanoparticles as X-ray computed tomography contrast agents for cancer imaging., Mol. Imaging Biol. 12, 463-467 (2010). 10.1007/s11307-010-0299-8
10. D. P. Cormode, E. Roessl, A. Thran, T. Skajaa, R. E. Gordon, J. P. Schlomka, V. Fuster, E. A. Fisher, W. J. Mulder, R. Proksa, and Z. A. Fayad, Atherosclerotic plaque composition: analysis with multicolor CT and targeted gold nanoparticles., Radiology 256, 774-782 (2010). 10.1148/radiol.10092473
11. O. Axelsson and K. Bjerknes, Contrast agents., patent application no. PCT/NO06/00187 (2010).
12. O. Rabin, J. M. Perez, J. Grimm, G. Wojtkiewicz, and R. Weissleder, An X-ray computed tomography imaging agent based on long-circulating bismuth sulphide nanoparticles., Nature Mater. 5, 118-122 (2006). 10.1038/nmat1571 (Pubitemid 43177900)
13. W. A. Kalender, P. Deak, M. Kellermeier, M. van Straten, and S. V. Vollmar, Application- and patient size-dependent optimization of x-ray spectra for CT., Med. Phys. 36, 993-1007 (2009). 10.1118/1.3075901
14. W. A. Kalender, Computed Tomography: Fundamentals, System Technology, Image Quality, Applications, 3rd ed. (Publicis Publishing, Erlangen, 2011).
15. J. Utter, R. Scragg, S. Denny, and D. Schaaf, Trends in body mass index and waist circumference among New Zealand adolescents, 1997/1998-2005., Obes. Rev. 10, 378-382 (2009). 10.1111/j.1467-789X.2009.00583.x
16. E. S. Ford, A. H. Mokdad, and W. H. Giles, Trends in waist circumference among US adults., Obes. Res. 11, 1223-1231 (2003). 10.1038/oby.2003.168
17. Y. Wang and M. A. Beydoun, The obesity epidemic in the United States-gender, age, socioeconomic, racial/ethnic, and geographic characteristics: A systematic review and meta-regression analysis., Epidemiol. Rev. 29, 6-28 (2007). 10.1093/epirev/mxm007 (Pubitemid 47229643)
18. L. De Koning, A. T. Merchant, J. Pogue, and S. S. Anand, Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies., Eur. Heart J. 28, 850-856 (2007). 10.1093/eurheartj/ehm026 (Pubitemid 47343598)
19. A. J. Flint, K. M. Rexrode, F. B. Hu, R. J. Glynn, H. Caspard, J. A. E. Manson, W. C. Willett, and E. B. Rimm, Body mass index, waist circumference, and risk of coronary heart disease: A prospective study among men and women., Obes. Res. Clin. Pract. 4, e171-e181 (2010). 10.1016/j.orcp.2010.01.001
20. L. Feldkamp, L. Davis, and J. Kress, Practical cone-beam algorithm., J. Opt. Soc. Am. A 1, 612-619 (1984). 10.1364/JOSAA.1.000612
21. P. Deak, M. van Straten, P. C. Shrimpton, M. Zankl, and W. A. Kalender, Validation of a Monte Carlo tool for patient-specific dose simulations in multi-slice computed tomography., Eur. Radiol. 18, 759-772 (2008). 10.1007/s00330-007-0815-7
22. I. Yohannes, D. Kolditz, and W. A. Kalender, Semiempirical analysis of materials' elemental composition to formulate tissue-equivalent materials: a preliminary study., Phys. Med. Biol. 56, 2963-2977 (2011). 10.1088/0031-9155/56/ 10/005
23. J. H. Hubbell and S. M. Seltzer, Report No. PB - 95-220539/XAB; NISTIR - 5632; TRN: TRN: 51812148 United StatesTRN: TRN: 51812148Mon Dec 01 07:31:32 EST 2008NTISGRA; SCA: 663620; PA: GRA-95:12148; EDB-95:109083; SN: 95001416131; TVI: 9516English, 1995.
24. H. Aichinger, J. Dierker, S. Joite-Barfu, and M. Sbel, Radiation Exposure and Image Quality in X-ray Diagnostic Radiology: Physical Principles and Clinical Applications (Springer-Verlag, Berlin Heidelberg, 2004).
25. E. Roessl, B. Brendel, K. Engel, J. Schlomka, A. Thran, and R. Proksa, Sensitivity of photon-counting based K-edge imaging in x-ray computed tomography., IEEE Trans. Med. Imaging 30 (9), 1678-1690 (2011).
26. J. P. Schlomka, E. Roessl, R. Dorscheid, S. Dill, G. Martens, T. Istel, C. Baumer, C. Herrmann, R. Steadman, G. Zeitler, A. Livne, and R. Proksa, Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography., Phys. Med. Biol. 53, 4031-4047 (2008). 10.1088/0031-9155/53/15/002
27. W. A. Kalender, M. Beister, J. M. Boone, D. Kolditz, S. V. Vollmar, and M. C. Weigel, High-resolution spiral CT of the breast at very low dose: concept and feasibility considerations., Eur. Radiol. (2011).
28. X. Wang, D. Meier, S. Mikkelsen, G. E. Maehlum, D. J. Wagenaar, B. M. Tsui, B. E. Patt, and E. C. Frey, MicroCT with energy-resolved photon-counting detectors., Phys. Med. Biol. 56, 2791-2816 (2011). 10.1088/0031-9155/56/9/011