K-edge ratio method for identification of multiple nanoparticulate contrast agents by spectral CT imaging

British Journal of Radiology

Volumn 86, Issue 1029, 2013, Pages

  Ghadiri, H ^a,b   Ay, M R ^a,b   Shiran, M B ^a   Soltanian Zadeh, H ^c,d   Zaidi, H ^e,f,g  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

^d HENRY FORD HEALTH SYSTEM   (United States)

^e GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^f UNIVERSITY OF GENEVA   (Switzerland)

^g UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BISMUTH; CONTRAST MEDIUM; EUROPIUM; GADOLINIUM; GOLD; HAFNIUM; HOLMIUM; OSMIUM; PLATINUM; TERBIUM; THALLIUM; TUNGSTEN; YTTERBIUM; NANOPARTICLE; RADIOPHARMACEUTICAL AGENT;

ALGORITHM; ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGING PHANTOM; K EDGE RATIO ALGORITHM; PARAMETRIC TEST; PHOTON; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; CONTRAST MEDIA; MODELS, THEORETICAL; NANOPARTICLES; PHANTOMS, IMAGING; RADIOPHARMACEUTICALS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84883040837     PISSN: 00071285     EISSN: None     Source Type: Journal    
DOI: 10.1259/bjr.20130308     Document Type: Article

References (44)

1. Aviv H, Bartling S, Grinberg I, Margel S. Synthesis and characterization of Bi2O3/HSA core-shell nanoparticles for X-ray imaging applications. J Biomed Mater Res B Appl Biomater 2012;101:131-8. doi: 10.1002/jbm. b.32826
2. Reuveni T, Motiei M, Romman Z, Popovtzer A, Popovtzer R. Targeted gold nanoparticles enable molecular CT imaging of cancer: an in vivo study. Int J Nanomedicine 2011;6: 2859-64. doi: 10.2147/IJN.S25446
3. Chou SW, Shau YH, Wu PC, Yang YS, Shieh DB, Chen CC. In vitro and in vivo studies of FePt nanoparticles for dual modal CT/MRI molecular imaging. J Am Chem Soc 2010; 132:13270-8. doi: 10.1021/ja1035013
4. Axelsson O. Contrast agents comprising tungsten-containing cores. WIPO Patent No. 2006123936. Geneva, Switzerland: World Intellectual Property Organization; 2006.
5. Torres AS, Bonitatibus PJ Jr, Colborn RE, Goddard GD, FitzGerald PF, Lee BD, et al. Biological performance of a size-fractionated core-shell tantalum oxide nanoparticle x-ray contrast agent. Invest Radiol 2012;47:578-87. doi: 10.1097/RLI.0b013e318260fc40
6. Dekrafft KE, Boyle WS, Burk LM, Zhou OZ, Lin W. Zr- and Hf-based nanoscale metalorganic frameworks as contrast agents for computed tomography. J Mater Chem 2012; 22:18139-44. doi: 10.1039/C2JM32299D
7. Zhou J, Zhu X, Chen M, Sun Y, Li F. Waterstable NaLuF4-based upconversion nanophosphors with long-term validity for multimodal lymphatic imaging. Biomaterials 2012;33:6201-10. doi: 10.1016/j. biomaterials.2012.05.036
8. Pan D, Schirra CO, Senpan A, Schmieder AH, Stacy AJ, Roessl E, et al. An early investigation of ytterbium nanocolloids for selective and quantitative "multicolor" spectral CT imaging. ACS Nano 2012;6:3364-70. doi: 10.1021/nn300392x
9. Liu Z, Li Z, Liu J, Gu S, Yuan Q, Ren J, et al. Long-circulating Er31-doped Yb2O3 upconversion nanoparticle as an in vivo X-ray CT imaging contrast agent. Biomaterials 2012;33:6748-57. doi: 10.1016/j. biomaterials.2012.06.033
10. Nowak T, Hupfer M, Brauweiler R, Eisa F, Kalender WA. Potential of high-Z contrast agents in clinical contrast-enhanced computed tomography. Med Phys 2011;38: 6469-82. doi: 10.1118/1.3658738
11. Ashokan A, Menon D, Nair S, Koyakutty M. A molecular receptor targeted, hydroxyapatite nanocrystal based multi-modal contrast agent. Biomaterials 2010;31:2606-16. doi: 10.1016/j.biomaterials.2009.11.113
12. Shilo M, Reuveni T, Motiei M, Popovtzer R. Nanoparticles as computed tomography contrast agents: current status and future perspectives. Nanomedicine (Lond) 2012;7: 257-69. doi: 10.2217/nnm.11.190
13. Bulte JW. Science to practice: can CT be performed for multicolor molecular imaging? Radiology 2010;256:675-6. doi: 10.1148/radiol.101127
14. Liu Y, Ai K, Lu L. Nanoparticulate X-ray computed tomography contrast agents: from design validation to in vivo applications. Acc Chem Res 2012;45:1817-27. doi: 10.1021/ar300150c
15. Cheng Z, Al Zaki A, Hui JZ, Muzykantov VR, Tsourkas A. Multifunctional nanoparticles: cost versus benefit of adding targeting and imaging capabilities. Science 2012;338: 903-10. doi: 10.1126/science.1226338
16. Alvarez RE, Macovski A. Energy-selective reconstructions in X-ray computerized tomography. Phys Med Biol 1976;21:733-44.
17. Lehmann LA, Alvarez RE, Macovski A, Brody WR, Pelc NJ, Riederer SJ, et al. Generalized image combinations in dual KVP digital radiography. Med Phys 1981;8: 659-67. (Pubitemid 11004040)
18. Shikhaliev PM. Photon counting spectral CT: improved material decomposition with Kedge- filtered x-rays. Phys Med Biol 2012;57: 1595-615. doi: 10.1088/0031-9155/57/6/1595
19. Schlomka JP, Roessl E, Dorscheid R, Dill S, Martens G, Istel T, et al. Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography. Phys Med Biol 2008;53: 4031-47. doi: 10.1088/0031-9155/53/15/002
20. Riederer SJ, Mistretta CA. Selective iodine imaging using K-edge energies in computerized x-ray tomography. Med Phys 1977;4: 474-81. (Pubitemid 8242279)
21. Schmidt TG, Pektas F. Region-of-interest material decomposition from truncated energy-resolved CT. Med Phys 2011;38: 5657-66. doi: 10.1118/1.3641749
22. Lee SW, Choi YN, Cho HM, Lee YJ, Ryu HJ, Kim HJ. A Monte Carlo simulation study of the effect of energy windows in computed tomography images based on an energyresolved photon counting detector. Phys Med Biol 2012;57:4931-49. doi: 10.1088/0031- 9155/57/15/4931
23. Le HQ, Molloi S. Segmentation and quantification of materials with energy discriminating computed tomography: a phantom study. Med Phys 2011;38:228-37.
24. De Man B, Nuyts J, Dupont P, Marchal G, Suetens P. Metal streak artifacts in X-ray computed tomography: a simulation study. IEEE Trans Nucl Sci 1999;46:691-6. doi: 10.1109/23.775600 (Pubitemid 30504963)
25. Hsieh J. Analytical models for multi-slice helical CT performance parameters. Med Phys 2003;30:169-78. (Pubitemid 36222852)
26. Akbarzadeh A, Ay MR, Ghadiri H, Sarkar S, Zaidi H. Measurement of scattered radiation in a volumetric 64-slice CT scanner using three experimental techniques. Phys Med Biol 2010;55:2269-80. doi: 10.1088/0031- 9155/55/8/010
27. Cranley K, Gilmore BJ, Fogarty GWA, Desponds L, Electronic version prepared by Sutton D. Catalogue of diagnostic X-ray spectra and other data. The Institute of Physics and Engineering in Medicine Report No. 78. York, UK: IPEM; 1997.
28. Shikhaliev PM. Projection x-ray imaging with photon energy weighting: experimental evaluation with a prototype detector. Phys Med Biol 2009;54:4971-92. doi: 10.1088/0031- 9155/54/16/009
29. Schmidt TG. CT energy weighting in the presence of scatter and limited energy resolution. Med Phys 2010;37:1056-67.
30. IMP. FORBILD phantoms. Erlangen, Germany: Institute of Medical Physics; 2003. Available at: http://www.imp.uni-erlangen. de/forbild
31. Segars WP, Mahesh M, Beck TJ, Frey EC, Tsui BM. Realistic CT simulation using the 4D XCAT phantom. Med Phys 2008;35: 3800-8.
32. Gerward L, Guilbert N, Jensen KB, Levring H. WinXCom-a program for calculating X-ray attenuation coefficients. Radiat Phys Chem 2004;71:653-4. (Pubitemid 39119657)
33. He P, Wei B, Cong W, Wang G. Optimization of K-edge imaging with spectral CT. Med Phys 2012;39:6572. doi: 10.1118/1.4754587
34. Leng S, Yu L, Wang J, Fletcher JG, Mistretta CA, McCollough CH. Noise reduction in spectral CT: reducing dose and breaking the trade-off between image noise and energy bin selection. Med Phys 2011;38:4946-57. doi: 10.1118/1.3609097
35. Christner JA, Kofler JM, McCollough CH. Estimating effective dose for CT using doselength product compared with using organ doses: consequences of adopting International Commission on Radiological Protection Publication 103 or dual-energy scanning. AJR Am J Roentgenol 2010;194: 881-9. doi: 10.2214/AJR.09.3462
36. Koenig T, Schulze J, Zuber M, Rink K, Butzer J, Hamann E, et al. Imaging properties of small-pixel spectroscopic x-ray detectors based on cadmium telluride sensors. Phys Med Biol 2012;57:6743-59. doi: 10.1088/0031-9155/57/21/ 6743
37. Procz S, Pichotka M, Lubke J, Hamann E, Ballabriga R, Blaj G, et al. Flatfield correction optimization for energy selective X-ray imaging with Medipix3. IEEE Trans Nucl Sci 2011;58:3182-9.
38. Walsh MF, Opie AMT, Ronaldson JP, Doesburg RMN, Nik SJ, Mohr JL, et al. First CT using Medipix3 and the MARS-CT-3 spectral scanner. J Instrum 2011;6:C01095.
39. Herrmann C, Engel KJ, Wiegert J. Performance simulation of an x-ray detector for spectral CT with combined Si and Cd[Zn]Te detection layers. Phys Med Biol 2010;55:7697-713. doi: 10.1088/0031- 9155/55/24/020
40. Ding H, Ducote JL, Molloi S. Breast composition measurement with a cadmium-zinctelluride based spectral computed tomography system. Med Phys 2012;39: 1289-97. doi: 10.1118/1.3681273
41. Brambilla A, Ouvrier-Buffet P, Gonon G, Rinkel J, Moulin V, Boudou C, et al. Fast CdTe and CdZnTe semiconductor detector arrays for spectroscopic X-ray imaging. IEEE Trans Nucl Sci 2013;60:408-15.
42. Roessl E, Proksa R. K-edge imaging in x-ray computed tomography using multi-bin photon counting detectors. Phys Med Biol 2007;52: 4679-96. doi: 10.1088/0031-9155/52/15/020 (Pubitemid 47103149)
43. Feuerlein S, Roessl E, Proksa R, Martens G, Klass O, Jeltsch M, et al. Multienergy photoncounting K-edge imaging: potential for improved luminal depiction in vascular imaging. Radiology 2008;249:1010-16. doi: 10.1148/radiol.2492080560
44. Roessl E, Cormode D, Brendel B, Engel KJ, Martens G, Thran A, et al. Preclinical spectral computed tomography of gold nanoparticles. Nucl Instrum Methods Phys Res A. 2011;648:S259-S64.