Application for diffuse kurtosis imaging in the diagnosis of stroke

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Author:
SUO Shi-teng(Department of Biomedical Engineering, School of Biomedical Engineering,Shanghai Jiaotong University, Shanghai 200240, China)
ZHU Shan-bao(Department of Biomedical Engineering, School of Biomedical Engineering,Shanghai Jiaotong University, Shanghai 200240, China)
CHEN Ya-zhu(Department of Biomedical Engineering, School of Biomedical Engineering,Shanghai Jiaotong University, Shanghai 200240, China)
LI Yue-hua()
ZHANG Su(Department of Biomedical Engineering, School of Biomedical Engineering,Shanghai Jiaotong University, Shanghai 200240, China)
Journal Title:
Chinese Journal of Biomedical Engineering
Issue:
Volume 18, Issue 01, 2012
DOI:
10.3760/cma.j.issn.1674-1927.2012.01.001
Key Word:
Magnetic resonance imaging;Diffusion weighted imaging;Diffuse kurtosis imaging;Stroke

Abstract: Objective To investigate diffuse kurtosis imaging (DKI) in the description of cerebral white and grey matter and application for diagnosis of stroke.Methods The profiles of cerebral magnetic resonance imaging (MRI) in 2 normal controls and 15 patients with stroke (9 with cerebral infarction,including 3 respective cases of acute,subacute and old infarction) were analyzed. Diffusion coefficient (D value) and diffusion kurtosis (K value) of each signal were obtained via nonlinear fitting corresponding to the location of individual pixel in 9 diffusion gradient fields for depiction of ADC and DKI maps.The images of ADC and DKI maps were studied and compared.Results DKI map contained more texture details and abundant tissue characters.Acute and subacute cerebral infarction presented hyperintensity signals in DKI,while old infarction presented hypointensity signals,with mean relative MK value (rMK) of (2.193±0.166),(1.789 ± 0.162) and (0.564± 0.069),respectively.Conclusion DKI offers more information of brain tissue,particularly in terms of grey matter and stroke foci,as compared with ADC that mainly focuses in tissues.Features of variation in rMK value of cerebral infarction can be captured.

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