用于病变分割的磁共振造影合成
MR CONTRAST SYNTHESIS FOR LESION SEGMENTATION.
作者信息
Roy Snehashis, Carass Aaron, Shiee Navid, Pham Dzung L, Prince Jerry L
机构信息
Image Analysis and Communications Laboratory, Electrical and Computer Engineering, The Johns Hopkins University.
出版信息
Proc IEEE Int Symp Biomed Imaging. 2010 Jun 21;2010:932-935. doi: 10.1109/ISBI.2010.5490140.
The magnetic resonance contrast of a neuroimaging data set has strong impact on the utility of the data in image analysis tasks, such as registration and segmentation. Lengthy acquisition times often prevent routine acquisition of multiple MR contrast images, and opportunities for detailed analysis using these data would seem to be irrevocably lost. This paper describes an example based approach which uses patch matching from a multiple contrast atlas with the intended goal of generating an alternate MR contrast image, thus effectively simulating alternative pulse sequences from one another. In this paper, we deal specifically with Fluid Attenuated Inversion Recovery (FLAIR) sequence generation from T1 and T2 pulse sequences. The applicability of this synthetic FLAIR for estimating white matter lesions segmentation is demonstrated.
神经成像数据集的磁共振对比度对图像分析任务（如配准和分割）中数据的效用有很大影响。较长的采集时间常常阻碍多个磁共振对比度图像的常规采集，使用这些数据进行详细分析的机会似乎将不可挽回地丧失。本文描述了一种基于示例的方法，该方法使用来自多对比度图谱的补丁匹配，目的是生成替代的磁共振对比度图像，从而有效地相互模拟替代脉冲序列。在本文中，我们专门处理从T1和T2脉冲序列生成液体衰减反转恢复（FLAIR）序列。证明了这种合成FLAIR在估计白质病变分割方面的适用性。
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