OtherClinical Investigations

“Motion-Frozen” Display and Quantification of Myocardial Perfusion

Piotr J. Slomka, Hidetaka Nishina, Daniel S. Berman, Xingping Kang, Cigdem Akincioglu, John D. Friedman, Sean W. Hayes, Usaf E. Aladl and Guido Germano
Journal of Nuclear Medicine July 2004, 45 (7) 1128-1134;

Article Figures & Data

Figures

  • FIGURE 1.
    FIGURE 1.

    Diagram illustrating generation of source and target equivalent points. Both endo- and epicardial surfaces are used to create 2 displacement vectors for each normal profile.

  • FIGURE 2.
    FIGURE 2.

    Illustration of displacement vectors used in image warping. End-systolic (ES) epicardial surface is shown with perfusion data represented in color. Displacement vectors (white) show local motion between ES and ED. ED position of epicardial surface is marked with red points.

  • FIGURE 3.
    FIGURE 3.

    Example of image warping applied to ES frame. ED frame is shown with ED contour (top left); ES frame is shown with ES contour (top right). ES frame is shown with ED contour (bottom left); warped ES frame is shown with ED contour (bottom right).

  • FIGURE 4.
    FIGURE 4.

    MF perfusion images compared with summed perfusion images in case of double-vessel disease confirmed by angiography (100% left anterior descending artery [LAD] occlusion and 80% left circumflex artery [LCx] occlusion). Both standard quantification technique and visual analysis of summed data identified only the LAD lesion; the additional LCx lesion was identified only by MF quantification.

  • FIGURE 5.
    FIGURE 5.

    Results of polar map quantification using both MF technique and standard ungated technique in case presented in Figure 4. Blackout maps (left) and raw perfusion maps (right) for MF technique and standard summed quantification (Summed) are shown.

  • FIGURE 6.
    FIGURE 6.

    Comparison of visually assessed image quality for 10 of 16 motion-frozen, 16 of 16 motion-frozen, and summed images.

  • FIGURE 7.
    FIGURE 7.

    ROC curves for detection of CAD using defect extent for 16 of 16 motion-frozen and standard quantification in 51 patients.

Tables

  • TABLE 1

    Patient Characteristics and Angiographic Data (n = 51)

    ParameterValue
    Age (y)67 ± 11
    Sex (female)20 (39)
    Hypertension32 (63)
    Diabetes14 (27)
    Hypercholesterolemia33 (65)
    Angina or shortness of breath40 (78)
    Stress test (exercise)21 (41)
    ≥70% stenosis34 (67)

    • Values in parentheses are percentage.

  • TABLE 2

    Endocardial and Epicardial Cardiac Motion Ranges

    ED–ES motion range (mm)Males (n = 31)Females (n = 20)
    Endocardial13 ± 214 ± 2
    Epicardial12 ± 212 ± 2

    • Values are expressed as mean ± SD.

  • TABLE 3

    Areas Under ROC Curve for Detection of Coronary Stenosis (≥70%) by MF Technique

    MethodROC area
    6/16 motion-frozen0.83 ± 0.06*
    10/16 motion-frozen0.87 ± 0.06
    16/16 motion-frozen0.92 ± 0.04

    • ↵* P < 0.05 for 6 of 16 MF compared with 16 of 16 MF.

    • Data are expressed as mean ± SE.

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