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Correlation between myocardial perfusion imaging quality and reconstruction time of dual-energy CT / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 760-763, 2017.
Artigo em Chinês | WPRIM | ID: wpr-609777
ABSTRACT
Objective To evaluate the relationship between myocardial perfusion imaging quality and reconstruction time of dual-souce CT (DSCT).Methods Myocardial perfusion imaging was performed in 28 subjects using second-generation DSCT.The coronary arteries of all selected subjects were normal.280 ms temporal resolution was used,and the image of 30 %-80 % R-R phase was reconstructed by retrospective ECG gating interval 5 %.The artifact area of myocardial perfusion iodine map image of each R-R interval were obtained.Average segment artifacts of the heart bottom,central,apical,apical level of heart level were calculated and statistical analyzed.Results The artifact area of myocardial perfusion iodine map of the heart bottom,central,apical,and the whole heart had statistically significant differences (all P<0.01),and the minimum artifact area was in60% R-R phase ([0.31±±0.28]cm2,[0.18±0.23]cm2,[0.13±0.13]cm2,[0.22± 0.18]cm2).There was no difference between different phases of the heart apical level (P=0.634).The minimum artifact area of myocardial perfusion iodine map of the heart bottom,central,apical,apical level in 60% R-R phase at the heart apical,the difference had statistically significant (F 3.701,P=0.014),there was no difference between the heart apical and central (P>0.05),but the difference between the heart apical and other parts had statistically significant (P<0.05).Conclusion Using 280 ms temporal resolution,second-generation DSCT can achieve the optimal myocardial perfusion imaging quality using 60% R-R phase reconstruction.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2017 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2017 Tipo de documento: Artigo