Seminars in Roentgenology
Volume 40, Issue 1 , Pages 64-73, January 2005

Approaches to CT perfusion imaging in pulmonary embolism

  • Joachim E. Wildberger, MD

      Affiliations

    • Department of Diagnostic Radiology, University of Technology, Aachen, Germany.
    • Corresponding Author InformationAddress reprint requests to: Joachim Ernst Wildberger, MD, Department of Diagnostic Radiology, University Hospital, University of Technology (RWTH), Pauwelsstrasse 30, D-52074 Aachen, Germany.
  • ,
  • U. Joseph Schoepf, MD

      Affiliations

    • Department of Radiology, Medical University of South Carolina, Charleston, SC.
  • ,
  • Andreas H. Mahnken, MD

      Affiliations

    • Department of Diagnostic Radiology, University of Technology, Aachen, Germany.
  • ,
  • Peter Herzog, MD

      Affiliations

    • Institute of Clinical Radiology, Ludwig Maximilians University, Munich, Germany.
  • ,
  • Hendrik Ditt, PhD

      Affiliations

    • Siemens Medical Solutions, Computed Tomography, Forchheim, Germany.
  • ,
  • Matthias U. Niethammer, PhD

      Affiliations

    • Siemens Medical Solutions, Computed Tomography, Forchheim, Germany.
  • ,
  • Stefan Schaller, PhD

      Affiliations

    • Siemens Medical Solutions, Computed Tomography, Forchheim, Germany.
  • ,
  • Ernst Klotz, PhD

      Affiliations

    • Siemens Medical Solutions, Computed Tomography, Forchheim, Germany.
  • ,
  • Rolf W. Günther, MD

      Affiliations

    • Department of Diagnostic Radiology, University of Technology, Aachen, Germany.

Computed tomography (CT) has become an increasingly accepted technique and is the method of choice for direct visualization of pulmonary emboli (PE). The quantitative assessment of tissue perfusion may yield more important information for patient management than the direct visualization of emboli by CT alone. Several attempts have been made to measure pulmonary blood flow by administration of intravenous contrast material. In this article, various experimental CT approaches for visualization and quantification of pulmonary perfusion are discussed. Ideally, CT will be able to provide both structural and functional information. Simple measurement of lung density before and after intravenous contrast delivery has been performed with single-slice CT technology using region-of-interest methodology. For electron-beam CT, a repeated data acquisition on a 7.6-cm lung volume has proven to be technically feasible. Using such dynamic scanning, reduced blood flow was observed in occluded lung segments. Color-encoded parenchymal density distribution in the axial, coronal, and sagittal planes was derived from thin collimation data sets using four-row multi-slice spiral CT (MSCT). Initial animal data from 16-slice MSCT offer a real CT-subtraction technique of the entire chest for the first time.

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PII: S0037-198X(04)00107-5

doi:10.1053/j.ro.2004.09.006

Seminars in Roentgenology
Volume 40, Issue 1 , Pages 64-73, January 2005