Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis.
Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis.
复制标题
基于斑块的MR光谱图像的超分辨率：应用于多发性硬化症。
DOI：
10.3389/fnins.2017.00013
复制
发表时间：
2017
影响因子：
4.3
通讯作者：
Smeets D
中科院分区：
文献类型：
--
作者：
Jain S;Sima DM;Sanaei Nezhad F;Hangel G;Bogner W;Williams S;Van Huffel S;Maes F;Smeets D
目的：磁共振波谱成像（MRSI）为常规磁共振成像提供补充信息。获取高分辨率MRSI非常耗时，并且需要复杂的重建技术。方法：本文提出了一种基于块的超分辨率方法，以提高从MRSI计算的代谢物图谱的空间分辨率。所提出的方法使用高分辨率解剖MR图像（T1加权和液体衰减反转恢复）来正则化超分辨率过程。该方法的准确性进行了验证，对传统的插值技术使用的幻影，以及模拟和在体内获得的人脑图像的多发性硬化症的主题。结果：该方法保留了组织的对比度和结构信息，与获取高分辨率MRSI的趋势相吻合。结论：这些结果表明，该方法具有潜在的临床相关的神经影像学应用。
Purpose: Magnetic resonance spectroscopic imaging (MRSI) provides complementary information to conventional magnetic resonance imaging. Acquiring high resolution MRSI is time consuming and requires complex reconstruction techniques. Methods: In this paper, a patch-based super-resolution method is presented to increase the spatial resolution of metabolite maps computed from MRSI. The proposed method uses high resolution anatomical MR images (T1-weighted and Fluid-attenuated inversion recovery) to regularize the super-resolution process. The accuracy of the method is validated against conventional interpolation techniques using a phantom, as well as simulated and in vivo acquired human brain images of multiple sclerosis subjects. Results: The method preserves tissue contrast and structural information, and matches well with the trend of acquired high resolution MRSI. Conclusions: These results suggest that the method has potential for clinically relevant neuroimaging applications.