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On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers – A Simulation Study

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Computer Vision and Graphics (ICCVG 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12334))

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Abstract

Simulation of a dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) multiple sclerosis brain dataset is described. The simulated images in the implemented version have \(1\times 1\times 1\,\mathrm {mm}^3\) voxel resolution and arbitrary temporal resolution. Addition of noise and simulation of thick-slice imaging is also possible. Contrast agent (Gd-DTPA) passage through tissues is modelled using the extended Tofts-Kety model. Image intensities are calculated using signal equations of the spoiled gradient echo sequence that is typically used for DCE imaging. We then use the simulated DCE images to study the impact of slice thickness and noise on the estimation of both semi- and fully-quantitative pharmacokinetic features. We show that high spatial resolution images allow significantly more accurate modelling than interpolated low resolution DCE images.

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Notes

  1. 1.

    https://brainweb.bic.mni.mcgill.ca/tissue_mr_parameters.txt.

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Authors and Affiliations

  1. Institute of Electronics, Łódź University of Technology, Łódź, Poland

    Jakub Jurek, Marek Kociński & Andrzej Materka

  2. Department of Radiology, Haukeland University Hospital, Bergen, Norway

    Lars Reisæter

  3. Mohn Medical Image and Visualisation Center, Department of Biomedicine, University of Bergen, Bergen, Norway

    Marek Kociński

Authors
  1. Jakub Jurek
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  2. Lars Reisæter
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  3. Marek Kociński
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  4. Andrzej Materka
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Correspondence to Jakub Jurek .

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Editors and Affiliations

  1. Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland

    Leszek J. Chmielewski

  2. Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland

    Ryszard Kozera

  3. Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland

    Arkadiusz Orłowski

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Jurek, J., Reisæter, L., Kociński, M., Materka, A. (2020). On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers – A Simulation Study. In: Chmielewski, L.J., Kozera, R., Orłowski, A. (eds) Computer Vision and Graphics. ICCVG 2020. Lecture Notes in Computer Science(), vol 12334. Springer, Cham. https://doi.org/10.1007/978-3-030-59006-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-59006-2_7

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  • Online ISBN: 978-3-030-59006-2

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