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Research ArticleTheranostics

Optimizing Image Quantification for 177Lu SPECT/CT Based on a 3D Printed 2-Compartment Kidney Phantom

Johannes Tran-Gia and Michael Lassmann
Journal of Nuclear Medicine April 2018, 59 (4) 616-624; DOI: https://doi.org/10.2967/jnumed.117.200170
Johannes Tran-Gia
Department of Nuclear Medicine, University of Würzburg, Würzburg, Germany
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Michael Lassmann
Department of Nuclear Medicine, University of Würzburg, Würzburg, Germany
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  • FIGURE 1.
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    FIGURE 1.

    Division of kidney into 4 separate parts to enable fused deposition modeling 3D printing. (A) CAD model. (B) Printed parts.

  • FIGURE 2.
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    FIGURE 2.

    Cross-section through kidney phantom at different stages. (A) CAD model. (B) CT-based segmentation in 3D Slicer. (C) Fused SPECT/CT reconstruction.

  • FIGURE 3.
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    FIGURE 3.

    Accuracy of activity determination with different PVC methods. (A and B) xSPECT/Flash3D: 48 iterations, 1 subset, and no filter. (C and D) xSPECT/Flash3D standard reconstruction: 16/30 iterations, 1/2 subsets, and 20.8-mm gaussian filter.

  • FIGURE 4.
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    FIGURE 4.

    Threshold-dependent accuracy of activity determined with and without filtering for xSPECT (A) and Flash3D (B). Solid lines are for initial reconstruction (48 iterations, 1 subset, and no filter); dashed–dotted lines are for filtered standard reconstruction (xSPECT/Flash3D: 16/30 iterations, 1/2 subsets, and 20.8-mm gaussian filter).

  • FIGURE 5.
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    FIGURE 5.

    Effect of gaussian postfiltering on sphere phantom for xSPECT (A) and Flash3D (B). Shown are fused SPECT/CT images at different stages of reconstruction (left) and horizontal cross-sections (right). Solid lines are for initial reconstruction; dashed–dotted lines are for filtered reconstruction.

  • FIGURE 6.
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    FIGURE 6.

    Effect of gaussian postfiltering on kidney phantom for xSPECT (A) and Flash3D (B). Shown are fused SPECT/CT images at different stages of reconstruction (left) and horizontal cross-sections (right). Solid lines are for initial reconstruction; dashed–dotted lines are for filtered reconstruction.

Tables

  • Figures
    • View popup
    TABLE 1

    Dimensions of 2-Compartment Kidney Model

    Volume (cm3)
    Length (mm)Width (mm)Thickness (mm)KidneyCortexMedulla
    113.559.544.5143.5799.5843.98
    • View popup
    TABLE 2

    Determined Resolutions

    ParameterxSPECTFlash3D
    48 iterations, 1 subset, no filtering9.41 mm10.35 mm
    Standard reconstruction17.25 mm21.19 mm
    • View popup
    TABLE 3

    Geometry-Specific Recovery Coefficients Embedded Image

    ParameterMaskSphereEllipsoidΔS-ECortexΔS-C
    xSPECT
     48 iterations, 1 subset, no filtering
     CAD0.8340.829−0.60.634−23.9
     CT0.8230.820−0.70.602−38.4
     Standard reconstruction
     CAD0.7160.711−0.40.441−26.9
     CT0.7280.721−1.00.471−35.3
    Flash3D
     48 iterations, 1 subset, no filtering
     CAD0.8390.834−0.50.643−23.4
     CT0.8300.828−1.30.617−38.9
     Standard reconstruction
     CAD0.6650.657−0.20.406−25.7
     CT0.6570.650−1.10.385−41.5
    • ΔS-E = percentage difference between sphere and ellipsoid; ΔS-C = percentage difference between sphere and cortex.

    • View popup
    TABLE 4

    Resolution-Dependency of Recovery Coefficients

    GeometryParameter−2 mm−1 mmNominal+1 mm+2 mm
    xSPECT
    Resolution (mm)8.359.3510.3511.3512.35
     SphereEmbedded Image0.8650.8500.8340.8190.804
     Difference (%)3.82.0—−1.8−3.6
     EllipsoidEmbedded Image0.8610.8460.8290.8130.798
     Difference (%)3.92.0—−1.8−3.7
     CortexEmbedded Image0.6970.6670.6340.6060.580
     Difference (%)9.95.1—−4.4−8.6
    Flash3D
    Resolution (mm)7.418.419.4110.4111.41
     SphereEmbedded Image0.8660.8540.8390.8230.808
     Difference (%)3.21.8—−1.9−3.7
     EllipsoidEmbedded Image0.8620.8500.8340.8180.803
     Difference (%)3.31.9—−2.0−3.7
     CortexEmbedded Image0.6980.6740.6430.6130.586
     Difference (%)8.64.9—−4.6−8.8
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Journal of Nuclear Medicine: 59 (4)
Journal of Nuclear Medicine
Vol. 59, Issue 4
April 1, 2018
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Optimizing Image Quantification for 177Lu SPECT/CT Based on a 3D Printed 2-Compartment Kidney Phantom
Johannes Tran-Gia, Michael Lassmann
Journal of Nuclear Medicine Apr 2018, 59 (4) 616-624; DOI: 10.2967/jnumed.117.200170

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Optimizing Image Quantification for 177Lu SPECT/CT Based on a 3D Printed 2-Compartment Kidney Phantom
Johannes Tran-Gia, Michael Lassmann
Journal of Nuclear Medicine Apr 2018, 59 (4) 616-624; DOI: 10.2967/jnumed.117.200170
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Keywords

  • radionuclide therapy
  • 2-compartment kidney phantom
  • 3D printing
  • partial volume correction
  • quantitative SPECT/CT
  • xSPECT Quant
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