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OtherBASIC SCIENCE INVESTIGATIONS

MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration

Matthias Hofmann, Florian Steinke, Verena Scheel, Guillaume Charpiat, Jason Farquhar, Philip Aschoff, Michael Brady, Bernhard Schölkopf and Bernd J. Pichler
Journal of Nuclear Medicine November 2008, 49 (11) 1875-1883; DOI: https://doi.org/10.2967/jnumed.107.049353
Matthias Hofmann
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Florian Steinke
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Verena Scheel
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Guillaume Charpiat
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Jason Farquhar
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Philip Aschoff
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Michael Brady
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Bernhard Schölkopf
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Bernd J. Pichler
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  • FIGURE 1. 
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    FIGURE 1. 

    2-dimensional histogram of MRI and CT intensities in T1-weighted head scan.

  • FIGURE 2. 
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    FIGURE 2. 

    Xs indicate 2 voxels in MR image whose tissue classes (air and bone) cannot be distinguished on basis of their intensity alone. If we include surrounding patch (rectangle), we see patterns that are typical for either bone or air, and different attenuation values can be assigned.

  • FIGURE 3. 
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    FIGURE 3. 

    Overview of steps involved in our method for obtaining attenuation-corrected PET image, based on PET detector sinogram and MR image. Resampling of MRI, PET, and CT to required resolution is performed wherever necessary.

  • FIGURE 4. 
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    FIGURE 4. 

    Images from patient's T1-weighted spin-echo MRI (left), pseudo-CT (as predicted using our method; middle), and real CT (right) scans. MR T1SE = T1-weighted spin-echo MRI.

  • FIGURE 5. 
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    FIGURE 5. 

    Joint histograms showing no AC (A), simple AC using attenuation map with only 2 attenuation values (B), and AC using our MRI-based predicted attenuation map (C). No significant systematic over- or underestimation of activity is demonstrated.

  • FIGURE 6. 
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    FIGURE 6. 

    Direct comparison of CT attenuation-corrected PET image and PET image that was obtained with AC based on pseudo-CT that was calculated from MR image only. Maximum (Max), minimum (Min), and average (Avg) standardized uptake values (SUV) are given for shown ROI. OSEM = ordered-subset expectation maximization; FWHM = full width at half maximum.

  • FIGURE 7. 
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    FIGURE 7. 

    (A) MRI T2-weighted multi-echo data-imaging combination of rabbit. (B) Three-class labels as predicted using simple variation of our method for 3-class classification. (C) Three-class labels obtained by thresholding of CT image of rabbit. Not all differences between B and C are because of false predictions. Despite best efforts to physically fixate rabbit between MRI and CT scans, there was still some slight movement between scans, which explains misalignment between A and C.

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    TABLE 1

    Regression Coefficients and R2 Values

    R2 value for…
    CoefficientProposed methodUncorrected imagesTwo-class AC images
    α−0.006 ± 0.0070.025 ± 0.0040.014 ± 0.009
    β0.990 ± 0.0260.138 ± 0.0190.78 ± 0.030
    R20.968 ± 0.0110.476 ± 0.0760.884 ± 0.044
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Journal of Nuclear Medicine: 49 (11)
Journal of Nuclear Medicine
Vol. 49, Issue 11
November 2008
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MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration
Matthias Hofmann, Florian Steinke, Verena Scheel, Guillaume Charpiat, Jason Farquhar, Philip Aschoff, Michael Brady, Bernhard Schölkopf, Bernd J. Pichler
Journal of Nuclear Medicine Nov 2008, 49 (11) 1875-1883; DOI: 10.2967/jnumed.107.049353

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MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration
Matthias Hofmann, Florian Steinke, Verena Scheel, Guillaume Charpiat, Jason Farquhar, Philip Aschoff, Michael Brady, Bernhard Schölkopf, Bernd J. Pichler
Journal of Nuclear Medicine Nov 2008, 49 (11) 1875-1883; DOI: 10.2967/jnumed.107.049353
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