Susceptibility-Weighted Imaging in Patients with Pyogenic Brain Abscesses at 1.5T: Characteristics of the Abscess Capsule

References

1. 1.↵
   1. Reichenbach JR,
   2. Venkatesan R,
   3. Schillinger DJ,
   4. et al

   . Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. Radiology 1997;204:272–77

   CrossRefPubMedWeb of Science
2. 2.↵
   1. Reichenbach JR,
   2. Haacke EM

   . High-resolution BOLD venographic imaging: a window into brain function. NMR Biomed 2001;14:453–67

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Sehgal V,
   2. Delproposto Z,
   3. Haacke EM,
   4. et al

   . Clinical applications of neuroimaging with susceptibility-weighted imaging. J Magn Reson Imaging 2005;22:439–50

   CrossRefPubMed
4. 4.↵
   1. Liang L,
   2. Korogi Y,
   3. Sugahara T,
   4. et al

   . Detection of intracranial hemorrhage with susceptibility-weighted MR sequences. AJNR Am J Neuroradiol 1999;20:1527–34

   Abstract/FREE Full Text
5. 5.↵
   1. Essig M,
   2. Reichenbach JR,
   3. Schad L,
   4. et al

   . High resolution MR-venography of cerebral arteriovenous malformations. Radiologe 2001;41:288–95

   CrossRefPubMed
6. 6.↵
   1. Lee BC,
   2. Vo KD,
   3. Kido DK,
   4. et al

   . MR high-resolution blood oxygenation level-dependent venography of occult (low-flow) vascular lesions. AJNR Am J Neuroradiol 1999;20:1239–42

   Abstract/FREE Full Text
7. 7.↵
   1. Tan IL,
   2. van Schijndel RA,
   3. Pouwels PJ,
   4. et al

   . MR venography of multiple sclerosis. AJNR Am J Neuroradiol 2000;21:1039–42

   Abstract/FREE Full Text
8. 8.↵
   1. Tong KA,
   2. Ashwal S,
   3. Holshouser BA,
   4. et al

   . Diffuse axonal injury in children: clinical correlation with hemorrhagic lesions. Ann Neurol 2004;56:36–50

   CrossRefPubMedWeb of Science
9. 9.↵
   1. Tong KA,
   2. Ashwal S,
   3. Holshouser BA,
   4. et al

   . Hemorrhagic shearing lesions in children and adolescents with posttraumatic diffuse axonal injury: improved detection and initial results. Radiology 2003;227:332–39

   CrossRefPubMedWeb of Science
10. 10.↵
    1. Sehgal V,
    2. Delproposto Z,
    3. Haddar D,
    4. et al

    . Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses. J Magn Reson Imaging 2006;24:41–51

    CrossRefPubMed
11. 11.↵
    1. Reichenbach JR,
    2. Jonetz-Mentzel L,
    3. Fitzek C,
    4. et al

    . High-resolution blood oxygen-level dependent MR venography (HRBV): a new technique. Neuroradiology 2001;43:364–69

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Schad LR

    . Improved target volume characterization in stereotactic treatment planning of brain lesions by using high-resolution BOLD MR-venography. NMR Biomed 2001;14:478–83

    CrossRefPubMedWeb of Science
13. 13.↵
    1. Barth M,
    2. Nobauer-Huhmann IM,
    3. Reichenbach JR,
    4. et al

    . High-resolution three-dimensional contrast-enhanced blood oxygenation level-dependent magnetic resonance venography of brain tumors at 3 Tesla: first clinical experience and comparison with 1.5 Tesla. Invest Radiol 2003;38:409–14

    CrossRefPubMedWeb of Science
14. 14.↵
    1. Haacke EM,
    2. Mittal S,
    3. Wu Z,
    4. et al

    . Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. AJNR Am J Neuroradiol 2009;30:19–30

    Abstract/FREE Full Text
15. 15.↵
    1. Mittal S,
    2. Wu Z,
    3. Neelavalli J,
    4. et al

    . Susceptibility-weighted imaging: technical aspects and clinical applications, part 2. AJNR Am J Neuroradiol 2009;30:232–52

    Abstract/FREE Full Text
16. 16.↵
    1. Wang Y,
    2. Yu Y,
    3. Li D,
    4. et al

    . Artery and vein separation using susceptibility-dependent phase in contrast-enhanced MRA. J Magn Reson Imaging 2000;12:661–70

    CrossRefPubMed
17. 17.↵
    1. Reichenbach JR,
    2. Venkatesan R,
    3. Yablonskiy DA,
    4. et al

    . Theory and application of static field inhomogeneity effects in gradient-echo imaging. J Magn Reson Imaging 1997;7:266–79

    CrossRefPubMedWeb of Science
18. 18.↵
    1. Haacke EM,
    2. Ayaz M,
    3. Khan A,
    4. et al

    . Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain. J Magn Reson Imaging 2007;26:256–64

    CrossRefPubMedWeb of Science
19. 19.↵
    1. Haimes AB,
    2. Zimmerman RD,
    3. Morgello S,
    4. et al

    . MR imaging of brain abscesses. AJR Am J Roentgenol 1989;152:1073–85

    PubMedWeb of Science
20. 20.↵
    1. Zimmerman RD,
    2. Weingarten K

    . Neuroimaging of cerebral abscesses. Neuroimaging Clin North Am 1999;1:1–16
21. 21.↵
    1. Falcone S,
    2. Post MJ

    . Encephalitis, cerebritis, and brain abscess: pathophysiology and imaging findings. Neuroimaging Clin N Am 2000;10:333–53

    PubMed
22. 22.↵
    1. Ferreira NP,
    2. Otta GM,
    3. do Amaral LL,
    4. et al

    . Imaging aspects of pyogenic infections of the central nervous system. Top Magn Reson Imaging 2005;16:145–54

    CrossRefPubMed
23. 23.↵
    1. Britt RH,
    2. Enzmann DR,
    3. Yeager AS

    . Neuropathological and computerized tomographic findings in experimental brain abscess. J Neurosurg 1981;55:590–603

    PubMedWeb of Science
24. 24.↵
    1. Holmes TM,
    2. Petrella JR,
    3. Provenzale JM

    . Distinction between cerebral abscesses and high-grade neoplasms by dynamic susceptibility contrast perfusion MRI. AJR Am J Roentgenol 2004;183:1247–52

    PubMed
25. 25.↵
    1. Erdogan C,
    2. Hakyemez B,
    3. Yildirim N,
    4. et al

    . Brain abscess and cystic brain tumor: discrimination with dynamic susceptibility contrast perfusion-weighted MRI. J Comput Assist Tomogr 2005;29:663–67

    CrossRefPubMedWeb of Science
26. 26.↵
    1. Ropele S,
    2. de Graaf W,
    3. Khalil M,
    4. et al

    . MRI assessment of iron deposition in multiple sclerosis. J Magn Reson Imaging 2011;34:13–21

    CrossRefPubMed
27. 27.↵
    1. Haacke EM,
    2. Miao Y,
    3. Liu M,
    4. et al

    . Correlation of putative iron content as represented by changes in R2* and phase with age in deep gray matter of healthy adults. J Magn Reson Imaging 2010;32:561–76

    CrossRefPubMed
28. 28.↵
    1. Pfefferbaum A,
    2. Adalsteinsson E,
    3. Rohlfing T,
    4. et al

    . MRI estimates of brain iron concentration in normal aging: comparison of field-dependent (FDRI) and phase (SWI) methods. Neuroimage 2009;47:493–500

    CrossRefPubMedWeb of Science
29. 29.↵
    1. Reichenbach JR,
    2. Barth M,
    3. Haacke EM,
    4. et al

    . High-resolution MR venography at 3.0 Tesla. J Comput Assist Tomogr 2000;24:949–57

    CrossRefPubMed
30. 30.↵
    1. Noebauer-Huhmann IM,
    2. Pinker K,
    3. Barth M,
    4. et al

    . Contrast-enhanced, high-resolution, susceptibility-weighted magnetic resonance imaging of the brain: dose-dependent optimization at 3 Tesla and 1.5 Tesla in healthy volunteers. Invest Radiol 2006;41:249–55

    CrossRefPubMed