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Journal of Nuclear Medicine

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OtherBASIC SCIENCE INVESTIGATIONS

Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph

Florent C. Sureau, Andrew J. Reader, Claude Comtat, Claire Leroy, Maria-Joao Ribeiro, Irène Buvat and Régine Trébossen
Journal of Nuclear Medicine June 2008, 49 (6) 1000-1008; DOI: https://doi.org/10.2967/jnumed.107.045351
Florent C. Sureau
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Andrew J. Reader
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Claude Comtat
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Claire Leroy
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Maria-Joao Ribeiro
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Irène Buvat
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Régine Trébossen
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  • FIGURE 1. 
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    FIGURE 1. 

    Fitted profiles after convolution with size of point source (zoom, ×2.5; pixel size, ∼0.5 mm). Kernels are displayed in linear (A) and logarithmic (B) scales.

  • FIGURE 2. 
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    FIGURE 2. 

    Qualitative impact of RM at 2 axial locations at center (A) and at 4 cm off center of FOV axially (B). Images without RM were reconstructed using 12 iterations of 16 subsets, whereas images with RM were reconstructed using 40 iterations of 16 subsets.

  • FIGURE 3. 
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    FIGURE 3. 

    Axial, sagittal, and coronal planes of 3 point sources reconstructed with different resolution kernels (using 15 iterations of 16 subsets), with zoom on 1 point source in last column. Panels A, B, C, and D are reconstructed with 3-parameter kernel of size 33, 53, 93, and 153 voxels and E with 2-parameter kernel of size 153 voxels. Note that color scale was stretched to assist visualization of artifacts.

  • FIGURE 4. 
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    FIGURE 4. 

    Impact of RM on CRC and noise properties, without (A) and with (B) postreconstruction smoothing. Each color corresponds to different sphere. RM-OP-OSEM curves are represented by filled symbols and solid lines and OP-OSEM curve by hollow symbols and dashed lines. Iteration numbers are shown for smallest sphere in A.

  • FIGURE 5. 
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    FIGURE 5. 

    Impact of RM on noise properties. (A) Mean (first row) and variance images (second row) over all 36 realizations, for OP-OSEM (first column, 12 iterations of 16 subsets), OP-OSEM (12 iterations of 16 subsets) with 2-mm FWHM gaussian postreconstruction smoothing (second column), and RM-OP-OSEM (last column, 16 iterations of 16 subsets). (B) Covariance in summed planes on homogeneous background region.

  • FIGURE 6. 
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    FIGURE 6. 

    Time-averaged images (A) and corresponding VOI time–activity curves (B) for subject. In A, images across striatum were reconstructed with OP-OSEM (first row, 12 iterations of 16 subsets), OP-OSEM (12 iterations of 16 subsets) followed by a postreconstruction smoothing with 2-mm FWHM gaussian kernel (second row), and RM-OP-OSEM (last row, 15 iterations of 16 subsets).

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    TABLE 1

    Periphery-to-Total Activity Ratio (Eq. 10) of Point Source

    Kernel size (offset axially)2 weighted exponentialsSingle exponential
    3 × 3 × 35 × 5 × 59 × 9 × 915 × 15 × 1515 × 15 × 15
    1 cm0.790.290.080.010.04
    5 cm0.780.280.080.010.04
    10 cm0.910.320.090.020.04
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    TABLE 2

    BP Values in Anatomic Structures for All 5 Subjects

    ParameterCaudatePutamenVentral striatum
    Without RM9.11 (0.6)10.25 (1.3)7.1 (0.8)
    With RM11.34 (0.7)12.60 (1.7)7.8 (1.1)
    • Corresponding SDs are in parentheses.

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Journal of Nuclear Medicine: 49 (6)
Journal of Nuclear Medicine
Vol. 49, Issue 6
June 2008
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Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph
Florent C. Sureau, Andrew J. Reader, Claude Comtat, Claire Leroy, Maria-Joao Ribeiro, Irène Buvat, Régine Trébossen
Journal of Nuclear Medicine Jun 2008, 49 (6) 1000-1008; DOI: 10.2967/jnumed.107.045351

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Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph
Florent C. Sureau, Andrew J. Reader, Claude Comtat, Claire Leroy, Maria-Joao Ribeiro, Irène Buvat, Régine Trébossen
Journal of Nuclear Medicine Jun 2008, 49 (6) 1000-1008; DOI: 10.2967/jnumed.107.045351
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