Clinical Radiology
Volume 64, Issue 11 , Pages 1075-1080 , November 2009

Contrast-to-noise ratios of liver lesions using subtraction imaging on multiphase 64-detector row CT

  • D.J. Grand

      Affiliations

    • Corresponding Author InformationGuarantor and correspondent: D.J. Grand, Department of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy St. Providence, RI 02903, USA. Tel.: +1 401 444 5184; fax: +1 401 444 5017.
    • ,
  • M. Beland
    • ,
  • D. Dupuy
    • ,
  • W.W. Mayo-Smith

Received 2 March 2009 ,Revised 24 March 2009 ,Accepted 29 March 2009.

References 

  1. Soyer P, Spelle L, Gouhiri M, et al. Gadolinium chelate-enhanced subtraction spoiled gradient-recalled echo MR imaging of liver tumors. AJR Am J Roentgenol. 1999;1:79–82
  2. Yu JS, Kim YH, Rofsky NM. Dynamic subtraction magnetic resonance imaging of cirrhotic liver: assessment of high signal intensity lesions on non-enhanced T1-weighted images. J Comput Assist Tomogr. 2005;29:51–58
  3. Yu JS, Rofsky NM. Dynamic MR subtraction imaging of the liver: advantages and pitfalls. AJR Am J Roentgenol. 2003;180:1351–1357
  4. Nakaura T, Awai K, Yanaga Y, et al. Detection of early enhancement of hypervascular hepatocellular carcinoma using single breath-hold 3D pixel shift dynamic subtraction MDCT. AJR Am J Roentgenol. 2008;190:W13–W18
  5. Israel GM, Bosniak MA. How I do it: evaluating renal masses. Radiology. 2005;236:441–450
  6. Tabuchi A, Katsuda T, Eguchi M, et al. Functional residual capacity breath hold for subtraction image of dynamic liver MRI. Eur J Radiol. 2008;[epub ahead of print]
  7. Okumura E, Sanada S, Suzuki M, et al. Improvement of temporal and dynamic subtraction images on abdominal CT using 3D global image matching and nonlinear image warping techniques. Phys Med Biol. 2007;52:6461–6474

PII: S0009-9260(09)00245-1

doi: 10.1016/j.crad.2009.03.013

Clinical Radiology
Volume 64, Issue 11 , Pages 1075-1080 , November 2009

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