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利用商用 CPU/GPU 硬件进行在线实时自适应 TSENSE 重建。

Online real-time reconstruction of adaptive TSENSE with commodity CPU/GPU hardware.

机构信息

Laboratory for Molecular and Functional Imaging: From Physiology to Therapy, Bordeaux, France.

出版信息

Magn Reson Med. 2009 Dec;62(6):1658-64. doi: 10.1002/mrm.22112.

DOI:10.1002/mrm.22112
PMID:19902515
Abstract

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.

摘要

自适应时间敏感编码(TSENSE)已被提议作为一种稳健的并行成像方法,适用于介入性手术的磁共振引导。然而,在实际应用中,使用大线圈阵列获得的自适应 TSENSE 图像的重建会导致较长的重建时间和延迟,从而阻碍了其在磁共振引导热疗或心血管导管插入术等应用中的使用。在这里,我们展示了一种适用于自适应 TSENSE 的实时重建管道,该管道在负担得起的商品个人计算机硬件上具有低图像延迟和高帧率。对于介入成像中使用的典型图像大小(128 x 96、16 个通道、灵敏度编码(SENSE)因子 2-4),该管道能够以高达 40 幅/秒的帧率重建自适应 TSENSE 图像,图像延迟低于 90 毫秒,从而使磁共振性能在实践中受到磁共振采集限制的限制。其性能通过在线重建体内磁共振图像来证明,用于快速绘制肾脏温度图和进行心脏导管插入术。

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