Experimental Study of Intracranial Hematoma Detection with Flat Panel Detector C-Arm CT

References

1. ↵
   Benndorf G, Strother CM, Claus B, et al. Angiographic CT in cerebrovascular stenting. AJNR Am J Neuroradiol 2005;26:1813–18

   Abstract/FREE Full Text
2. ↵
   Heran NS, Song JK, Namba K, et al. The utility of DynaCT in neuroendovascular procedures. AJNR Am J Neuroradiol 2006;27:330–32

   Abstract/FREE Full Text
3. ↵
   Hackstein N, Cengiz H, Rau WS. Contrast media clearance in a single kidney measured on multiphasic helical CT: results in 50 patients without acute renal disorder. AJR Am J Roentgenol 2002;178:111–18

   PubMed
4. ↵
   Deinsberger W, Vogel J, Kuschinsky W, et al. Experimental intracerebral hemorrhage: description of a double injection model in rats. Neurol Res 1996;18:475–77

   PubMed
5. ↵
   Kuker W, Thiex R, Rohde I, et al. Experimental acute intracerebral hemorrhage: value of MR sequences for a safe diagnosis at 1.5 and 0.5 T. Acta Radiol 2000;41:544–52

   CrossRefPubMed
6. Rohde V, Rohde I, Thiex R, et al. Fibrinolysis therapy achieved with tissue plasminogen activator and aspiration of the liquefied clot after experimental intracerebral hemorrhage: rapid reduction in hematoma volume but intensification of delayed edema formation. J Neurosurg 2002;97:954–62

   PubMed
7. ↵
   Rohde V, Rohde I, Thiex R, et al. The role of intraoperative magnetic resonance imaging for the detection of hemorrhagic complications during surgery for intracerebral lesions: an experimental approach. Surg Neurol 2001;56:266–74, discussion 274–75

   CrossRefPubMed
8. ↵
   Wagner KR, Xi G, Hua Y, et al. Lobar intracerebral hemorrhage model in pigs: rapid edema development in perihematomal white matter. Stroke 1996;27:490–97

   Abstract/FREE Full Text
9. ↵
   Cohen W, Hayman L. Computed tomography of intracranial hemorrhage. Neuroimaging Clin N Am 1992;2:75–87
10. ↵
    New PF, Aronow S. Attenuation measurements of whole blood and blood fractions in computed tomography. Radiology 1976;121:635–40

    CrossRefPubMedWeb of Science
11. ↵
    Norman D, PriceD, Boyd D, et al. Quantitative aspects of computed tomography of the blood and cerebrospinal fluid. Radiology 1977;123:335–38

    CrossRefPubMedWeb of Science
12. ↵
    Taber K, Hayman L, Diaz-Marchan P. Intracranial hemorrhage. In: Orrison W Jr, ed. Neuroimaging. Vol. 1, Philadelphia: Saunders;2000 :853–83
13. ↵
    Sanelli PC, Mifsud MJ, Zelenko N. CT angiography in the evaluation of cerebrovascular diseases. AJR Am J Roentgenol 2005;184:305–12

    PubMed
14. ↵
    Holodny AI, Farkas J, Schlenk R, et al. Demonstration of an actively bleeding aneurysm by CT angiography. AJNR Am J Neuroradiol 2003;24:962–64

    Abstract/FREE Full Text
15. ↵
    Gupta R, Jones ES, Mooyaart EA, et al. Computed tomographic angiography in stroke imaging: fundamental principles, pathologic findings, and common pitfalls. Semin Ultrasound CT MR 2006;27:221–42

    CrossRefPubMed
16. ↵
    Fox TR, Nisius DT, Aradate H, et al. Practical x-ray scatter measurements for volume CT detector design. Proceedings of SPIE 2001;4320:808–14

    CrossRef
17. Siewerdsen JH, Jaffray DA. Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter. Med Phys 2001;28:220–31

    CrossRefPubMedWeb of Science
18. ↵
    Endo M, Mori S, Tsunoo T, et al. Magnitude and effects of x-ray scatter in a 256-slice CT scanner. Med Phys 2006;33:3359–68

    CrossRefPubMedWeb of Science
19. ↵
    Zellerhoff M, Scholz B, Ruehrnschopf EP, et al. Low contrast 3D reconstruction from C-arm data. Proceedings of SPIE,2005;5747:646–55
20. ↵
    Zhu L, Bennett NR, Fahrig R. Scatter correction method for x-ray CT using primary modulation: theory and preliminary results. IEEE Trans Med Imaging 2006;25:1573–87

    CrossRefPubMed
21. Siewerdsen JH, Moseley DJ, Bakhtiar B, et al. The influence of antiscatter grids on soft-tissue detectability in cone-beam computed tomography with flat-panel detectors. Med Phys 2004;31:3506–20

    CrossRefPubMed
22. Siewerdsen JH, Jaffray DA. Optimization of x-ray imaging geometry (with specific application to flat-panel cone-beam computed tomography). Med Phys 2000;27:1903–14

    CrossRefPubMed
23. Wiegert J, Bertram M, Schafer D, et al. Performance of standard fluoroscopy anti-scatter grids in flat-detector-based cone-beam CT. Proceedings of SPIE 2004;5368:67–78

    CrossRef
24. Ning R, Tang X, Conover D. X-ray scatter correction algorithm for cone beam CT imaging. Med Phys 2004;31:1195–202

    CrossRefPubMed
25. Seibert JA, Boone JM. X-ray scatter removal by deconvolution. Med Phys 1988;15:567–75

    CrossRefPubMedWeb of Science
26. Seibert JA, Boone JM. Medical image scatter suppression by inverse filtering. Proceedings of SPIE 1988;914:742
27. Spies L, Ebert M, Groh BA, et al. Correction of scatter in megavoltage cone-beam CT. Phys Med Biol 2001;46:821–33

    CrossRefPubMed
28. Bertram M, Wiegert J, Rose G. Potential of software-based scatter corrections in cone-beam volume CT: progress in biomedical optics and imaging. Proceedings of SPIE 2005;5745:259–270

    CrossRef
29. Wiegert J, Bertram M, Rose G, et al. Model-based scatter correction for cone-beam computed tomography: progress in biomedical optics and imaging. Proceedings of SPIE 2005;5745:271–282

    CrossRef
30. ↵
    Kruger DG, Zink F, Peppler WW, et al. A regional convolution kernel algorithm for scatter correction in dual-energy images: comparison to single-kernel algorithms. Med Phys 1994;21:175–84

    CrossRefPubMed
31. ↵
    Feldkamp LA, Davis LC, Kress JW. Practical cone-beam algorithm. Journal of the Optical Society of America A 1984;1:612–19
32. ↵
    Parker DL. Optimal short scan convolution reconstruction for fanbeam CT. Med Phys 1982;9:254–57

    CrossRefPubMedWeb of Science
33. ↵
    Lee SW, Wang G. A Grangeat-type half-scan algorithm for cone-beam CT. Med Phys 2003;30:689–700

    CrossRefPubMed
34. Noo F, Heuscher D. Image reconstruction from cone-beam data on a circular short-scan. Proceedings of SPIE 2002;4684:50–59

    CrossRef
35. Defrise M, Clack R. A cone-beam reconstruction algorithm using shift-variant filtering and cone-beam backprojection. IEEE Trans Med Imaging 1994;13:186–95

    CrossRefPubMed
36. Nett B, Zhuang T-L, Leng S, et al. Arc-based cone-beam reconstruction algorithms using an equal weighting scheme. J X-ray Sci Technol 2007;15:19–48
37. ↵
    Grass M, Kohler T, Proksa R. 3D cone-beam CT reconstruction for circular trajectories. Phys Med Biol 2000;45:329–47

    CrossRefPubMed
38. ↵
    Fahrig R, Dixon R, Payne T, et al. Dose and image quality for a cone-beam C-arm CT system. Med Phys 2006;33:4541–50

    CrossRefPubMedWeb of Science
39. ↵
    Hsieh J, Molthen RC, Dawson CA, et al. An iterative approach to the beam hardening correction in cone beam CT. Med Phys 2000;27:23–29

    CrossRefPubMed
40. ↵
    Gray JE, Archer BR, Butler PF, et al. Reference values for diagnostic radiology: application and impact. Radiology 2000;235:354–58

    CrossRef