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Journal of Nuclear Medicine

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OtherCLINICAL INVESTIGATIONS

Use of Wavelet Transforms in Analysis of Time–Activity Data from Cardiac PET

Jou-Wei Lin, Andrew F. Laine, Olakunle Akinboboye and Steven R. Bergmann
Journal of Nuclear Medicine February 2001, 42 (2) 194-200;
Jou-Wei Lin
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Andrew F. Laine
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Olakunle Akinboboye
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Steven R. Bergmann
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  • FIGURE 1.
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    FIGURE 1.

    Count-based regional radioactivity in last frame of 82Rb scan in patient with myocardial infarction before (A) and after (B) wavelet denoising. x-axis represents eight ROIs in each plane (from inferior region 1 counterclockwise to septal), y-axis represents average radioactivity (nCi/pixel/s) in ROI, and z-axis represents short-axis planes (from base to apex). Regional radioactivity in original dataset for entire heart was distorted by inherent noise (A). Wavelet approach maintained smoothness and continuity among regions but still preserved regional variation (B).

  • FIGURE 2.
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    FIGURE 2.

    Median estimate-to-error ratios derived from 82Rb data before (original) and after wavelet denoising at rest and during hyperemia. Wavelet approach improved estimate-to-noise ratio (P < 0.001 for both). Values are expressed as mean ± SD.

  • FIGURE 3.
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    FIGURE 3.

    Distribution of differences between flows derived from 82Rb studies and those from H215O studies. (A) Differences in resting flows with original protocol (0.05 ± 0.80 mL/g/min) and wavelet protocol (−0.09 ± 0.20 mL/g/min). (B) Differences in hyperemic flows with original protocol (0.53 ± 1.57 mL/g/min) and wavelet protocol (−0.04 ± 0.56 mL/g/min). Wavelet protocol reduced differences between two measurements (P < 0.001 for both). Values are expressed as mean ± SD.

  • FIGURE 4.
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    FIGURE 4.

    Estimate-to-error ratios (A) and COVs of flow estimates (B) derived from H215O data before and after wavelet-based noise reduction at rest and during hyperemia. Wavelet approach improved precision and reduced regional variation (P < 0.001 for both). Values are expressed as mean ± SD.

  • FIGURE 5.
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    FIGURE 5.

    Estimate-to-error ratios (A) and COVs of flow estimates (B) derived from 13NH3 data before and after wavelet-based noise reduction at rest and during hyperemia. Wavelet approach improved precision and reduced regional variation (P < 0.001 for both). Values are expressed as mean ± SD.

  • FIGURE 6.
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    FIGURE 6.

    Flow estimates in normal and infarcted regions in patients with myocardial infarction using 82Rb at rest. Before wavelet denoising (Original), flow estimates had wide distributions and significant overlap. After wavelet denoising (Wavelet), flow estimates in normal and infarcted regions were clearly separated. Values are expressed as mean ± SD. MBF = myocardial blood flow.

Tables

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    TABLE 1.

    Estimates of Global Flow with Original Protocol and After Wavelet Protocol Processing for Each Flow Tracer in Healthy Volunteers

    StudyGlobal flow* (mL/g/min)
    82RbH215O13NH3
    OriginalWaveletnOriginalWaveletnOriginalWaveletn
    Rest1.15 ± 0.460.82 ± 0.26180.92 ± 0.190.90 ± 0.17180.62 ± 0.160.59 ± 0.167
    Stress2.50 ± 0.541.85 ± 0.56171.89 ± 0.501.84 ± 0.52171.89 ± 0.671.76 ± 0.677
    • ↵* Mean ± SD.

    • Same subjects received 82Rb and H215O, whereas seven different subjects received 13NH3. Mean flow decreased after wavelet protocol with 82Rb because of improved estimates.

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Journal of Nuclear Medicine
Vol. 42, Issue 2
February 1, 2001
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Use of Wavelet Transforms in Analysis of Time–Activity Data from Cardiac PET
Jou-Wei Lin, Andrew F. Laine, Olakunle Akinboboye, Steven R. Bergmann
Journal of Nuclear Medicine Feb 2001, 42 (2) 194-200;

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Use of Wavelet Transforms in Analysis of Time–Activity Data from Cardiac PET
Jou-Wei Lin, Andrew F. Laine, Olakunle Akinboboye, Steven R. Bergmann
Journal of Nuclear Medicine Feb 2001, 42 (2) 194-200;
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