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MR Perfusion Imaging

  • Chapter
Brain Tumor Imaging

Part of the book series: Medical Radiology ((Med Radiol Diagn Imaging))

Abstract

Perfusion imaging is a powerful tool in the imaging of brain tumors, improving differential diagnostics, tumor grading, and the planning and monitoring of different therapy modalities. Several technical approaches are available to characterize tumor perfusion; these methods are widely available, easy to apply, and the results provide essential additional information on brain tumor pathophysiology. This chapter provides a review of different perfusion measurement techniques with exogenous or endogenous tracers. The clinical application of perfusion measurements in neuro-oncological imaging is discussed in view of the pathophysiological background. The practical use of perfusion imaging in differential diagnosis and tumor grading is presented with regard to the prognostic value of the method. Applications in biopsy targeting and therapy planning are also discussed. In the last section of this chapter, advantages and limitations of perfusion imaging in the follow-up of brain tumors are summarized.

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Abbreviations

DSC:

Dynamic susceptibility contrast

DCE:

Dynamic contrast enhanced

CBF:

Cerebral blood flow [mL/100 mL/min]

CBV:

Cerebral blood volume [mL/100 mL]

MTT:

Mean transit time

TTP:

Time to peak

AIF:

Arterial input function

K trans :

Transfer coefficient

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Authors and Affiliations

  1. Department of Neuroradiology, Klinikum Rechts der Isar, TU Munich, Munich, Germany

    Christine Preibisch, Vivien Tóth & Claus Zimmer

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  1. Christine Preibisch
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  2. Vivien Tóth
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  3. Claus Zimmer
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Correspondence to Claus Zimmer .

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Editors and Affiliations

  1. Neuroradiology, Dept. of Radiol., University Hospital Bonn, Bonn, Germany

    Elke Hattingen

  2. Neuroradiology, Goethe University, Hospital Frankfurt, Frankfurt/Main, Germany

    Ulrich Pilatus

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Preibisch, C., Tóth, V., Zimmer, C. (2013). MR Perfusion Imaging. In: Hattingen, E., Pilatus, U. (eds) Brain Tumor Imaging. Medical Radiology(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/174_2013_954

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  • DOI: https://doi.org/10.1007/174_2013_954

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