Time-resolved interventional cardiac C-arm cone-beam CT: an application of the PICCS algorithm.

Time-resolved interventional cardiac C-arm cone-beam CT: an application of the PICCS algorithm.
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DOI:
10.1109/tmi.2011.2172951
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发表时间:
2012-04
影响因子:
10.6
通讯作者:
Rowley H
Rowley H
中科院分区:
工程技术1区
文献类型:
--
作者:
Chen GH;Theriault-Lauzier P;Tang J;Nett B;Leng S;Zambelli J;Qi Z;Bevins N;Raval A;Reeder S;Rowley H

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时间分辨心脏成像在介入环境中特别令人感兴趣,因为它将直接在手术室中为准确的手术规划和心脏功能评估提供图像引导。由于数据采集系统的局限性和避免运动伪影所需的高时间分辨率,使用缓慢旋转的C形臂系统对体内心脏进行成像极具挑战性。本文提出了一种数据采集方案和图像重建方法,以实现时间分辨心脏锥束计算机断层扫描成像与各向同性的空间分辨率和高时间分辨率使用缓慢旋转的C臂系统。使用具有短扫描角度范围的单次机架旋转在14 s内采集数据。使图像重建方法是现有的图像约束压缩感知(PICCS)算法。根据在所有心脏相位上采集的数据重建先验图像。然后使用PICCS算法从回顾性门控心脏数据重建每个心脏相位。为了验证该方法,进行了几项研究。两个数值模拟使用的混合运动体模与静态背景解剖以及物理体模的研究已被用来证明,所提出的方法能够准确重建图像对象具有高的各向同性的空间分辨率。用活体扫描的犬动物模型进一步验证了该方法。
Time-resolved cardiac imaging is particularly interesting in the interventional setting since it would provide both image guidance for accurate procedural planning and cardiac functional evaluations directly in the operating room. Imaging the heart in vivo using a slowly rotating C-arm system is extremely challenging due to the limitations of the data acquisition system and the high temporal resolution required to avoid motion artifacts. In this paper, a data acquisition scheme and an image reconstruction method are proposed to achieve time-resolved cardiac cone-beam computed tomography imaging with isotropic spatial resolution and high temporal resolution using a slowly rotating C-arm system. The data are acquired within 14 s using a single gantry rotation with a short scan angular range. The enabling image reconstruction method is the prior image constrained compressed sensing (PICCS) algorithm. The prior image is reconstructed from data acquired over all cardiac phases. Each cardiac phase is then reconstructed from the retrospectively gated cardiac data using the PICCS algorithm. To validate the method, several studies were performed. Both numerical simulations using a hybrid motion phantom with static background anatomy as well as physical phantom studies have been used to demonstrate that the proposed method enables accurate reconstruction of image objects with a high isotropic spatial resolution. A canine animal model scanned in vivo was used to further validate the method.