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Influence of different image processing methods on mensuration of cardiac function in myocardial perfusion imaging / 中华核医学与分子影像杂志
Chinese Journal of Nuclear Medicine and Molecular Imaging ; (6): 564-567, 2017.
Article in Chinese | WPRIM | ID: wpr-607121
ABSTRACT
Objective To evaluate the influences of FBP and OSEM (with different iteration numbers or subset numbers) on cardiac function parameters with MPI,and to identify a suitable clinical method.Methods The MPI of 66 patients (33 males,33 females,age range 18-77 years) from January 2012 to December 2014 were retrospectively analyzed.The imaging data was reconstructed with FBP and 5 different OSEM (4-16 subsets and 2-4 iterations) in order to evaluate if there was any difference of cardiac function parameters calculated by QGS between the different image processing methods.In addition,the results were compared with those of cardiac ultrasonography.One-way analysis of variance was used for data analysis.Results The statistical differences of LVEF,EDV,and ESV(F values 10.73,4.89 and 5.97,all P<0.05) were found among 6 reconstructed methods.The values of LVEF were (66.14±11.12)%,(75.05±12.10)%,(70.09±11.27)%,(66.88±10.38)%,(64.97±10.25)%,and (62.58±9.84)%.Those of EDV were (77.32±27.58),(67.97±27.56),(75.10±27.89),(81.03±28.11),(84.94±29.07),and (89.98±29.71) ml,and the ESV values were (28.71±10.04),(19.71±16.51),(25.13±17.66),(29.01±18.47),(32.10±19.63),and (35.83±20.41) ml respectively.The cardiac function parameters measured by OSEM (with 2 iterations,12 subsets) were much similar to that measured by cardiac ultrasonography.Conclusion Compared with other 5 processing methods of MPI,the OSEM (with 2 iterations,12 subsets) method may be more suitable for practical clinical application.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Nuclear Medicine and Molecular Imaging Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Nuclear Medicine and Molecular Imaging Year: 2017 Type: Article