Full Paper

Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI

  1. Geoff J.M. Parker1,*,
  2. Caleb Roberts1,
  3. Andrew Macdonald1,
  4. Giovanni A. Buonaccorsi1,
  5. Sue Cheung1,
  6. David L. Buckley1,
  7. Alan Jackson1,
  8. Yvonne Watson1,
  9. Karen Davies1,
  10. Gordon C. Jayson2

Article first published online: 11 OCT 2006

DOI: 10.1002/mrm.21066

Issue

Magnetic Resonance in Medicine

Magnetic Resonance in Medicine

Volume 56, Issue 5, pages 993–1000, November 2006

Additional Information

How to Cite

Parker, G. J., Roberts, C., Macdonald, A., Buonaccorsi, G. A., Cheung, S., Buckley, D. L., Jackson, A., Watson, Y., Davies, K. and Jayson, G. C. (2006), Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI. Magnetic Resonance in Medicine, 56: 993–1000. doi: 10.1002/mrm.21066

Author Information

  1. 1

    Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK

  2. 2

    Cancer Research UK, Department of Medical Oncology, Christie Hospital, Manchester, UK

*Imaging Science and Biomedical Engineering, Stopford Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK

Publication History

  1. Issue published online: 20 OCT 2006
  2. Article first published online: 11 OCT 2006
  3. Manuscript Accepted: 23 JUL 2006
  4. Manuscript Revised: 19 JUL 2006
  5. Manuscript Received: 15 OCT 2005

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Keywords:

  • dynamic contrast-enhanced (DCE)-MRI;
  • arterial input function;
  • tracer kinetic modeling;
  • cancer;
  • vasculature

Abstract

Rapid T1-weighted 3D spoiled gradient-echo (GRE) data sets were acquired in the abdomen of 23 cancer patients during a total of 113 separate visits to allow dynamic contrast-enhanced MRI (DCE-MRI) analysis of tumor microvasculature. The arterial input function (AIF) was measured in each patient at each visit using an automated AIF extraction method following a standardized bolus administration of gadodiamide. The AIFs for each patient were combined to obtain a mean AIF that is representative for any individual. The functional form of this general AIF may be useful for studies in which AIF measurements are not possible. Improvements in the reproducibility of DCE-MRI model parameters (Ktrans, ve, and vp) were observed when this new, high-temporal-resolution population AIF was used, indicating the potential for increased sensitivity to therapy-induced change. Magn Reson Med, 2006. © 2006 Wiley-Liss, Inc.

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