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Automatic 3D registration of dynamic stress and rest 82Rb and flurpiridaz F 18 myocardial perfusion PET data for patient motion detection and correction
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10.1118/1.3656951
/content/aapm/journal/medphys/38/11/10.1118/1.3656951
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/38/11/10.1118/1.3656951

Figures

Image of FIG. 1.
FIG. 1.

Overview of proposed motion correction method. The first row shows sequence of steps. Second row shows the resulting images after motion correction is applied.

Image of FIG. 2.
FIG. 2.

Average 3D motion extent with different protocols. The motion extent averaged across all subjects (y axis) is plotted with respect to the different protocols (x axis). The error bar represents the standard deviation of the motion extent averaged across all subjects. The scanning time of flurpiridaz F 18 and 82Rb perfusion studies is 10 min and 4 min, respectively.

Image of FIG. 3.
FIG. 3.

Average RMS motion extent versus scanning time. (a) Average RMS motion extent from all axes (y axis) is plotted using flurpiridaz F 18 perfusion studies with respect to scanning time (10 min) and (b) average RMS motion extent from all axes is plotted using 82Rb perfusion studies with respect to scanning time (4 min).

Image of FIG. 4.
FIG. 4.

Examples of motion effect for flurpiridaz F 18 studies: (a) a patient with minimum motion (motion range is 1.0 mm), (b) a patient with average motion (motion range is 3.8 mm), and (c) a patient with maximum motion (motion range is 5.2 mm). White outline illustrates the LV contour automatically derived from the first frame.

Image of FIG. 5.
FIG. 5.

Registration errors after motion correction of simulated motion. Translational errors are shown in four datasets.

Image of FIG. 6.
FIG. 6.

Images before and after correction for simulated motion in a flurpiridaz F 18 study. The first row shows frame 3, frame 9, and summed image before motion correction by introducing 6 mm to the odd number frame and −6 mm to the even number frame in z direction. The second row shows frame 3, frame 9, and summed image after motion correction. Images show that motion correction improves image quality (reduced blurring and higher contrast) compared with the summed image before motion correction.

Image of FIG. 7.
FIG. 7.

Examples of registration results using simulated motion in 82Rb perfusion study. The first row shows frame 1, frame 3, and summed image before motion correction by introducing 6 mm and −6 mm in z direction. The second row shows frame 1, frame 3, and summed image after motion correction. Images show that motion correction has better image quality (reduced blurring and higher contrast) compared with the summed image before motion correction.

Image of FIG. 8.
FIG. 8.

Two examples of registration results in stress flurpiridaz F 18 perfusion study. The first row shows short axis, long axis, vertical axis, and summed image of short axis before motion correction (motion extent in x, y, and z axes is 4.4 mm, 2.3 mm, and 0.8 mm, respectively). The increases of CNR and CONT were 22% and 8%, respectively. The second row shows short axis, long axis, vertical axis, and summed image of short axis after motion correction (motion extent in x, y, and z axes is 4.9 mm, 2.1 mm, and 5.2 mm, respectively). The increases of CNR and CONT were 42% and 16%, respectively, showing that motion correction has better image quality compared with the summed image before motion correction.

Image of FIG. 9.
FIG. 9.

Comparison of visual score agreement with respect to the (a) visual score (score 0 to 2) and (b) visual score (motion and no motion) between two observers. Hatched regions indicate exact agreement.

Tables

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TABLE I.

Patient characteristics.

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TABLE II.

Patient motion extent during cardiac PET.

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TABLE III.

Effect of motion correction on count statistics. CONT -contrast, CNR-contrast to noise ration

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TABLE IV.

Visual motion detection before and after motion correction in flurpiridaz F 18 studies.

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TABLE V.

Visual motion detection before and after motion correction before and after motion correction in 82Rb studies.

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/content/aapm/journal/medphys/38/11/10.1118/1.3656951
2011-10-31
2014-04-18
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Automatic 3D registration of dynamic stress and rest 82Rb and flurpiridaz F 18 myocardial perfusion PET data for patient motion detection and correction
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/38/11/10.1118/1.3656951
10.1118/1.3656951
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