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2015年RSNA会议报告中涌现出大量新技术和先进的数据分析方法。一方面,非高斯分布扩散成像、扩散峰度成像、酰胺质子转移成像、化学交换饱和转移、动脉自旋标记技术、动态磁敏感增强磁共振和静息态功能磁共振等技术继续占据研究前沿的主导地位;另一方面,一批新技术成为热门研究领域的有力工具,如二维局部关联波谱法、相位差异增强成像、锰离子增强磁共振。同时,一些成熟技术中出现的新模型和算法也形成亮点。自旋标记成像延伸出多次延迟伪连续动脉自旋标记技术、速率选择性动脉自旋标记、脉冲式动脉自旋标记等多种改进技术;静息态功能磁共振中引入多变量模式分析(MVPA)和贝叶斯分析;动态磁敏感增强磁共振中采用Patlak模型。
A lot of new technologies and advanced data analysis methods emerged in the RSNA 2015 conference report. On the one hand, techniques such as non-Gaussian distribution diffusion imaging, diffusion kurtosis imaging, amide proton transfer imaging, chemical exchange saturation transfer, arterial spin labeling, dynamic magnetosensitive enhancement and resting state functional magnetic resonance continue to occupy the forefront of research On the other hand, a number of new technologies have become powerful tools in popular research fields, such as two-dimensional local correlation spectroscopy, phase contrast enhancement imaging, and manganese ion-enhanced magnetic resonance imaging. At the same time, new models and algorithms that have emerged in some mature technologies have also come to light up. Spin-label imaging extends many techniques such as multiple delayed pseudo-continuous artery spin labeling, rate selective artery spin labeling and pulsed arterial spin labeling, and multivariate mode analysis in resting state functional magnetic resonance imaging MVPA) and Bayesian analysis; Patlak model was used in dynamic magnetic susceptibility enhanced MR.