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Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with \(^{18}\)F-Choline

  • Carlos González
  • Pedro BibiloniEmail author
  • Manuel González-Hidalgo
  • Arnau Mir
  • Sebastià Rubí
Conference paper
  • 743 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11526)

Abstract

The arterial concentration of the radiopharmaceutical \({}^{18}\text {F}\)-choline is needed to estimate its absorption by tumors and other tissues. The blood concentration of \({}^{18}\text {F}\)-choline changes as it interacts with tissues, and so it is represented as a function with respect to time, the so-called Input Function (IF). In this paper, we present the estimation of an arterial whole-blood Image-Derived Input Function (IDIF) from the PET image, needed to model its absorption. The sagittal and transverse brain venous sinuses are automatically segmented based on the top-hat morphological transform. Such segmentation provides an estimation of the venous whole-blood IDIF. It is then corrected to obtain the arterial whole-blood IDIF by relating the amount of radioactivity material entering the brain region with the amount leaving it and the amount remaining. We compare the automatic venous whole-blood IDIF with a whole-blood venous IDIF from a region manually segmented. Also, we compare the automatic arterial whole-blood IDIF with the arterial IF obtained with serial blood samples on the radial artery. Quantitative measures indicate the overall accuracy of the estimation.

Keywords

PET \(^{18}\)F-choline Image processing Vessel segmentation Input function Image-derived input function Top-hat morphological transform 

References

  1. 1.
    Bibiloni, P., González-Hidalgo, M., Massanet, S.: A survey on curvilinear object segmentation in multiple applications. Pattern Recognit. 60, 949–970 (2016)CrossRefGoogle Scholar
  2. 2.
    Hammers, A., et al.: Three-dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe. Hum. Brain Mapp. 19(4), 224–247 (2003)CrossRefGoogle Scholar
  3. 3.
    Lassen, N.A.: Normal average value of cerebral blood flow in younger adults is 50 ml/100 g/min (1985)Google Scholar
  4. 4.
    Louis, D.N., et al.: The 2007 who classification of tumours of the central nervous system. Acta Neuropathol. 114(2), 97–109 (2007)CrossRefGoogle Scholar
  5. 5.
    Rubí, S., Bibiloni, P., Galmés, M., et al.: PET kinetic modeling with arterial sampling of 18F-choline uptake in patients with a suspected initial diagnosis of high grade glioma. In: 30th Annual Congress of the European Association of Nuclear Medicine (EANM 2017) (2017)Google Scholar
  6. 6.
    Schiepers, C., Chen, W., Dahlbom, M., Cloughesy, T., Hoh, C.K., Huang, S.C.: 18F-fluorothymidine kinetics of malignant brain tumors. Eur. J. Nucl. Med. Imaging 34(7), 1003–1011 (2007)CrossRefGoogle Scholar
  7. 7.
    Siegal, T.: Clinical impact of molecular biomarkers in gliomas. J. Clini. Neurosci. 22(3), 437–444 (2015)CrossRefGoogle Scholar
  8. 8.
    Verwer, E.E., et al.: Quantification of 18F-fluorocholine kinetics in patients with prostate cancer. J. Nucl. Med. 56(3), 365–371 (2015)CrossRefGoogle Scholar
  9. 9.
    Wahl, L.M., Asselin, M.C., Nahmias, C.: Regions of interest in the venous sinuses as input functions for quantitative PET. J. Nucl. Med. 40(10), 1666–1675 (1999)Google Scholar
  10. 10.
    Zanotti-Fregonara, P., Chen, K., Liow, J.S., Fujita, M., Innis, R.B.: Image-derived input function for brain pet studies: many challenges and few opportunities. J. Cereb. Blood Flow Metab. 31(10), 1986–1998 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Carlos González
    • 1
  • Pedro Bibiloni
    • 1
    • 2
    Email author
  • Manuel González-Hidalgo
    • 1
    • 2
  • Arnau Mir
    • 1
    • 2
  • Sebastià Rubí
    • 2
    • 3
  1. 1.SCOPIA Research GroupUniversitat de les Illes BalearsPalmaSpain
  2. 2.Balearic Islands Health Research Institute (IdISBa)PalmaSpain
  3. 3.Department of Nuclear MedicineUniversity Hospital Son EspasesPalmaSpain

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