Optimized respiratory-resolved motion-compensated 3D Cartesian coronary MR angiography.
Optimized respiratory-resolved motion-compensated 3D Cartesian coronary MR angiography.
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DOI：
10.1002/mrm.27208
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发表时间：
2018-12
影响因子：
3.3
通讯作者：
Prieto C
中科院分区：
文献类型：
--
作者：
Correia T;Ginami G;Cruz G;Neji R;Rashid I;Botnar RM;Prieto C
开发一个强大而高效的重建框架，从自由呼吸的三维全心脏笛卡尔冠状动脉磁共振血管成像（CMRA）获取中提供高质量的运动补偿呼吸分辨率图像。最近，XD - GRASP （eXtra - Dimensional Golden angle RAdial Sparse Parallel MRI）被提出，通过利用呼吸维度的稀疏性，实现100%的扫描效率，并提供呼吸分辨率的3D径向CMRA图像。本文提出了一种笛卡尔CMRA成像的重建框架，该框架通过结合二维拍对拍平移运动信息来增加呼吸维度的稀疏性，从而提供呼吸分辨率的运动补偿图像。运动信息从交错图像导航器中提取，并用于补偿每个呼吸阶段内的二维平移运动。我们对10名健康受试者和2名心血管疾病患者进行了优化呼吸分解笛卡尔冠状动脉磁共振成像（XD‐ORCCA）方法的测试，并与XD‐GRASP进行了比较。提出的XD - ORCCA提供高质量的呼吸分辨率图像，即使对于不规则的呼吸模式，也可以清晰地显示左右冠状动脉。与XD - GRASP相比，该方法提高了冠状动脉的可视性和清晰度。两种方法在可见血管长度和近端血管清晰度上有显著差异（p < 0.05）。XD - GRASP方法在没有相内运动的情况下提供高质量的图像。然而，对于运动幅度较大的呼吸期和呼吸模式不规则的受试者，在XD‐GRASP图像中观察到运动模糊。提出了一种用于笛卡尔CMRA的鲁棒呼吸分解运动补偿框架，并在健康受试者和患者中进行了测试。提出的XD - ORCCA为所有呼吸阶段提供高质量的图像，独立于呼吸模式的规律性。
To develop a robust and efficient reconstruction framework that provides high‐quality motion‐compensated respiratory‐resolved images from free‐breathing 3D whole‐heart Cartesian coronary magnetic resonance angiography (CMRA) acquisitions. Recently, XD‐GRASP (eXtra‐Dimensional Golden‐angle RAdial Sparse Parallel MRI) was proposed to achieve 100% scan efficiency and provide respiratory‐resolved 3D radial CMRA images by exploiting sparsity in the respiratory dimension. Here, a reconstruction framework for Cartesian CMRA imaging is proposed, which provides respiratory‐resolved motion‐compensated images by incorporating 2D beat‐to‐beat translational motion information to increase sparsity in the respiratory dimension. The motion information is extracted from interleaved image navigators and is also used to compensate for 2D translational motion within each respiratory phase. The proposed Optimized Respiratory‐resolved Cartesian Coronary MR Angiography (XD‐ORCCA) method was tested on 10 healthy subjects and 2 patients with cardiovascular disease, and compared against XD‐GRASP. The proposed XD‐ORCCA provides high‐quality respiratory‐resolved images, allowing clear visualization of the right and left coronary arteries, even for irregular breathing patterns. Compared with XD‐GRASP, the proposed method improves the visibility and sharpness of both coronaries. Significant differences (p < .05) in visible vessel length and proximal vessel sharpness were found between the 2 methods. The XD‐GRASP method provides good‐quality images in the absence of intraphase motion. However, motion blurring is observed in XD‐GRASP images for respiratory phases with larger motion amplitudes and subjects with irregular breathing patterns. A robust respiratory‐resolved motion‐compensated framework for Cartesian CMRA has been proposed and tested in healthy subjects and patients. The proposed XD‐ORCCA provides high‐quality images for all respiratory phases, independently of the regularity of the breathing pattern.
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基于3D图像的导航剂进行冠状动脉造影术的非辅助运动校正。
影响因子：
3.3
作者：
Luo, Jieying;Addy, Nii Okai;Ingle, R. Reeve;Baron, Corey A.;Cheng, Joseph Y.;Hu, Bob S.;Nishimura, Dwight G.
通讯作者：
Nishimura, Dwight G.
影响因子：
3.3
作者：
Cruz G;Atkinson D;Buerger C;Schaeffter T;Prieto C
通讯作者：
Prieto C
影响因子：
3.3
作者：
Asif, M. Salman;Hamilton, Lei;Romberg, Justin
通讯作者：
Romberg, Justin
影响因子：
5
作者：
Danias, PG;Stuber, M;Manning, WJ
通讯作者：
Manning, WJ
影响因子：
3.3
作者：
Peters, DC;Rohatgi, P;Manning, WJ
通讯作者：
Manning, WJ