GPU-based fast low-dose cone beam CT reconstruction via total variation
GPU-based fast low-dose cone beam CT reconstruction via total variation
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DOI：
10.3233/xst-2011-0283
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发表时间：
2011-01-01
影响因子：
3
通讯作者：
Jiang, Steve B.
中科院分区：
文献类型：
--
作者：
Jia, Xun;Lou, Yifei;Jiang, Steve B.
在大多数图像引导放射治疗程序中，来自连续锥形束CT（CBCT）扫描的X射线成像剂量引起了临床关注。本文的目标是开发一种基于GPU的快速算法，从欠采样和噪声投影数据中重建高质量的CBCT图像，以降低成像剂量。通过最小化由数据保真度项和总变分正则化项组成的能量泛函来重建CBCT。我们开发了一个GPU友好的版本的向前向后分裂算法来解决这个问题。还采用了多重网格技术。我们在数字体模和头颈部患者病例上测试了CBCT重建算法。低mAs下的性能也使用物理体模进行了验证。据发现，40个X射线投影足以重建CBCT图像具有令人满意的质量，用于临床目的。体模实验表明，CBCT图像可以成功地重建下0.1 mAs/投影。与广泛使用的头颈部扫描方案（约360个投影，0.4 mAs/投影）相比，总体剂量降低了36倍。在NVIDIA Tesla C1060 GPU卡上的重建时间约为130秒，估计比类似的正则化迭代重建方法快100倍。
X-ray imaging dose fromserial Cone-beam CT (CBCT) scans raises a clinical concern inmost image guided radiation therapy procedures. The goal of this paper is to develop a fast GPU-based algorithm to reconstruct high quality CBCT images from undersampled and noisy projection data so as to lower the imaging dose. The CBCT is reconstructed by minimizing an energy functional consisting of a data fidelity term and a total variation regularization term. We develop a GPU-friendly version of a forward-backward splitting algorithm to solve this problem. A multi-grid technique is also employed. We test our CBCT reconstruction algorithm on a digital phantom and a head-and-neck patient case. The performance under low mAs is also validated using physical phantoms. It is found that 40 x-ray projections are sufficient to reconstruct CBCT images with satisfactory quality for clinical purposes. Phantom experiments indicate that CBCT images can be successfully reconstructed under 0.1 mAs/projection. Comparing with the widely used head-and-neck scanning protocol of about 360 projections with 0.4 mAs/projection, an overall 36 times dose reduction has been achieved. The reconstruction time is about 130 sec on an NVIDIA Tesla C1060 GPU card, which is estimated similar to 100 times faster than similar regularized iterative reconstruction approaches.