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Table 4 Pearsons correlation coefficients before and after registration (larger is better)

From: Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms

All studies

 

Mean

Variation

Median

Min

Max

Unregistered

0.82

0.20

0.89

-0.09

1.00

QUASI-P

0.90

0.16

0.95

0.00

1.00

QUASI-P

0.91

0.12

0.95

0.13

1.00

ICA-SP

0.92

0.13

0.97

0.17

1.00

Rest studies

Unregistered

0.81

0.18

0.88

0.15

0.99

QUASI-P

0.90

0.13

0.95

0.13

1.00

ICA-SP

0.93

0.11

0.97

0.33

1.00

Stress studies

Unregistered

0.82

0.22

0.91

-0.09

1.00

QUASI-P

0.90

0.19

0.96

0.00

1.00

QUASI-P

0.92

0.11

0.96

0.15

1.00

ICA-SP

0.92

0.15

0.97

0.17

1.00

  1. Both algorithms result in a significant improvement of the measures with ICA-SP providing the better motion compensation than QUASI-P according to the obtained average value of R 2.