机构：[1]Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA[2]Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China[3]China–America Joint Neuroscience Institute, Xuanwu Hospital, Capital Medical University, Beijing, China首都医科大学宣武医院[4]Neuroprotection Research Laboratory, Department of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
Diffusion kurtosis imaging (DKI) has been shown to augment diffusion-weighted imaging (DWI) for the definition of irreversible ischemic injury. However, the complexity of cerebral structure/composition makes the kurtosis map heterogeneous, limiting the specificity of kurtosis hyperintensity to acute ischemia. We propose an Inherent COrrelation-based Normalization (ICON) analysis to suppress the intrinsic kurtosis heterogeneity for improved characterization of heterogeneous ischemic tissue injury. Fast DKI and relaxation measurements were performed on normal (n = 10) and stroke rats following middle cerebral artery occlusion (MCAO) (n = 20). We-evaluated the correlations between mean kurtosis (MK), mean diffusivity (MD) and fractional anisotropy (FA) derived from the fast DKI sequence and relaxation rates R-1 and R-2, and found a highly significant correlation between MK and R-1 (p < 0.001). We showed that ICON analysis suppressed the intrinsic kurtosis heterogeneity in normal cerebral tissue, enabling automated tissue segmentation in an animal stroke model. We found significantly different kurtosis and diffusivity lesion volumes: 147 +/- 59 and 180 +/- 66 mm(3), respectively (p = 0.003, paired t-test). The ratio of kurtosis to diffusivity lesion volume was 84% +/- 19% (p < 0.001, one-sample t-test). We found that relaxation-normalized MK (RNMK), but not MD, values were significantly different between kurtosis and diffusivity lesions (p < 0.001, analysis of variance). Our study showed that fast DKI with ICON analysis provides a promising means of demarcation of heterogeneous DWI stroke lesions.
基金：
the National Natural Science Foundation of China (81471721),
National Basic Research Program of China (2011CB70780420)
the National Institute of Neurological Disorders and Stroke, National Institute of Health (1R21NS085574 and 1R01NS083654).
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2015]版：
大类|3 区医学
小类|2 区核医学2 区光谱学3 区生物物理
最新[2023]版：
大类|4 区医学
小类|3 区生物物理3 区光谱学4 区核医学
JCR分区：
出版当年[2014]版：
Q1SPECTROSCOPYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGINGQ2BIOPHYSICS
最新[2023]版：
Q1SPECTROSCOPYQ2BIOPHYSICSQ2RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[1]Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
共同第一作者：
通讯作者：
通讯机构：[*1]Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, MGH and Harvard Medical School, 149 13 Street, Rm 2301, Charlestown, MA 02129,USA.
推荐引用方式(GB/T 7714)：
Iris Yuwen Zhou,Yingkun Guo,Takahiro Igarashi,et al.Fast diffusion kurtosis imaging (DKI) with Inherent COrrelation-based Normalization (ICON) enhances automatic segmentation of heterogeneous diffusion MRI lesion in acute stroke[J].NMR IN BIOMEDICINE.2016,29(12):1670-1677.doi:10.1002/nbm.3617.
APA：
Iris Yuwen Zhou,Yingkun Guo,Takahiro Igarashi,Yu Wang,Emiri Mandeville...&Phillip Zhe Sun.(2016).Fast diffusion kurtosis imaging (DKI) with Inherent COrrelation-based Normalization (ICON) enhances automatic segmentation of heterogeneous diffusion MRI lesion in acute stroke.NMR IN BIOMEDICINE,29,(12)
MLA：
Iris Yuwen Zhou,et al."Fast diffusion kurtosis imaging (DKI) with Inherent COrrelation-based Normalization (ICON) enhances automatic segmentation of heterogeneous diffusion MRI lesion in acute stroke".NMR IN BIOMEDICINE 29..12(2016):1670-1677
