Ji Yang, Lu Dongshuang, Wu Limin, Qiu Bensheng, Song Yi-Qiao, Sun Phillip Zhe
Center for Biomedical Engineering, Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, China; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America.
Magn Reson Imaging. 2019 Feb;56:90-95. doi: 10.1016/j.mri.2018.10.009. Epub 2018 Oct 20.
Our study aimed to develop accelerated microscopic diffusional kurtosis imaging (μDKI) and preliminarily evaluated it in a rodent model of chronic epilepsy.
We investigated two μDKI acceleration schemes of reduced sampling density and angular range in a phantom and wild-type rats, and further tested μDKI method in pilocarpine-induced epilepsy rats using a 4.7 Tesla MRI. Single slice average μD and μK maps were derived, and Nissl staining was obtained.
The kurtosis maps from two accelerated μDKI sampling schemes (sampling density and range) are very similar to that using fully sampled data (SSIM > 0.95). For the epileptic models, μDKI showed noticeably different contrast from those obtained with conventional DKI. Specifically, the average μK was significantly less than that of the average of K (0.15 ± 0.01 vs. 0.47 ± 0.02) in the ventricle.
Our study demonstrated the feasibility of accelerated in vivo μDKI. Our work revealed that μDKI provides complementary information to conventional DKI method, suggesting that advanced DKI sequences are promising to elucidate tissue microstructure in neurological diseases.
我们的研究旨在开发加速微观扩散峰度成像（μDKI），并在慢性癫痫啮齿动物模型中对其进行初步评估。
我们在体模和野生型大鼠中研究了降低采样密度和角度范围的两种μDKI加速方案，并使用4.7特斯拉磁共振成像（MRI）在匹罗卡品诱导的癫痫大鼠中进一步测试了μDKI方法。得出单切片平均μD和μK图，并进行尼氏染色。
两种加速μDKI采样方案（采样密度和范围）得到的峰度图与使用全采样数据得到的峰度图非常相似（结构相似性指数>0.95）。对于癫痫模型，μDKI显示出与传统DKI明显不同的对比度。具体而言，脑室中平均μK显著低于平均K值（0.15±0.01对0.47±0.02）。
我们的研究证明了体内加速μDKI的可行性。我们的工作表明，μDKI为传统DKI方法提供了补充信息，这表明先进的DKI序列有望阐明神经疾病中的组织微观结构。
