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Intravoxel incoherent motion imaging in subacute brain infarction / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1181-1184, 2017.
Article in Chinese | WPRIM | ID: wpr-610602
ABSTRACT
Objective To explore the value of intravoxel incoherent motion (IVIM) imaging in evaluating diffusion and perfusion variations in subacute brain infarction.Methods MRI data of 35 patients with subacute brain infarction were analyzed retrospectively,including routine DWI,IVIM imaging and three-dimensional arterial spin labeling (3D-ASL) sequence.The ADC maps were obtained by routine DWI sequence.Pure molecular-based diffusion coefficient (D) maps,pseudo diffusion coefficient of perfusion (D*) maps and perfusion fraction (f) maps were obtained by IVIM sequence.Cerebral blood flow (CBF) maps were obtained by 3D-ASL sequence.ADC,D,D*,f,CBF values and the relative values (rADC,rD,rD*,rf,rCBF) of brain infarction lesion and contralateral mirror area were calculated.All the parameters between brain infarction lesion and contralateral mirror area were compared.The correlations were analyzed between rADC value and rD,rD*,rf values respectively,as well as between rCBF value and rD,rD*,rf values respectively.Results Quantitative analysis showed significant decreases of ADC,D,D*,f and CBF values in the brain infarction lesion compared with those in the contralateral mirror area (all P<0.05).There were positive correlations between rADC value and rD,rf values (r=0.687,0.601,P=0.005,0.018).And the positive correlation was found between rCBF value and rf value (r=0.581,P=0.022).Conclusion IVIM imaging can concurrently provide the perfusion and diffusion informations of subacute brain infarction patients,which is helpful to further elucidate the mechanisms of subacute brain infarction.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2017 Type: Article