Online Real-Time Reconstruction of Adaptive TSENSE With Commodity CPU/GPU Hardware
Online Real-Time Reconstruction of Adaptive TSENSE With Commodity CPU/GPU Hardware
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DOI：
10.1002/mrm.22112
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发表时间：
2009-12-01
影响因子：
3.3
通讯作者：
Ries, Mario
中科院分区：
文献类型：
--
作者：
Roujol, Sebastien;de Senneville, Baudouin Denis;Ries, Mario
自适应时间敏感性编码（TSENSE）被建议作为一种稳健的并行成像方法，适用于介入手术的 MR 指导。然而，在实践中，用大型线圈阵列获得的自适应 TSENSE 图像的重建会导致重建时间和延迟较长，从而阻碍了其在 MR 引导热疗或心血管导管插入术等应用中的使用。在这里，我们展示了自适应 TSENSE 的实时重建管道，在经济实惠的商用个人计算机硬件上具有低图像延迟和高帧速率。对于介入成像中使用的典型图像尺寸（128 x 96、16 通道、灵敏度编码 (SENSE) 因子 2-4），该管道能够以高达 40 个图像/秒的帧速率重建图像延迟低于 90 毫秒的自适应 TSENSE 图像，从而使 MR 性能在实践中受到 MR 采集的限制。其性能通过体内 MR 图像的在线重建来证明，用于肾脏的快速温度测绘和心导管插入术。 Magn Reson Med 62:1658-1664, 2009。(C) 2009 Wiley-Liss, Inc.
Adaptive temporal sensitivity encoding (TSENSE) has been suggested as a robust parallel imaging method suitable for MR guidance of interventional procedures. However, in practice, the reconstruction of adaptive TSENSE images obtained with large coil arrays leads to long reconstruction times and latencies and thus hampers its use for applications such as MR-guided thermotherapy or cardiovascular catheterization. Here, we demonstrate a real-time reconstruction pipeline for adaptive TSENSE with low image latencies and high frame rates on affordable commodity personal computer hardware. For typical image sizes used in interventional imaging (128 x 96, 16 channels, sensitivity encoding (SENSE) factor 2-4), the pipeline is able to reconstruct adaptive TSENSE images with image latencies below 90 ms at frame rates of up to 40 images/s, rendering the MR performance in practice limited by the constraints of the MR acquisition. Its performance is demonstrated by the online reconstruction of in vivo MR images for rapid temperature mapping of the kidney and for cardiac catheterization. Magn Reson Med 62:1658-1664, 2009. (C) 2009 Wiley-Liss, Inc.