Nonrigid Motion Correction With 3D Image-Based Navigators for Coronary MR Angiography.
Nonrigid Motion Correction With 3D Image-Based Navigators for Coronary MR Angiography.
复制标题
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。
DOI：
10.1002/mrm.26273
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发表时间：
2017-05
影响因子：
3.3
通讯作者：
Nishimura, Dwight G.
中科院分区：
文献类型：
--
作者：
Luo, Jieying;Addy, Nii Okai;Ingle, R. Reeve;Baron, Corey A.;Cheng, Joseph Y.;Hu, Bob S.;Nishimura, Dwight G.
开发一种基于3D图像导航器（iNAV）的回顾性非刚性运动校正方法，用于自由呼吸全心脏冠状动脉磁共振血管造影（MRA）。所提出的方法检测全球刚体运动和本地化的非刚体运动从三维iNAV和补偿他们的自动聚焦算法。为了对全局运动进行建模，从3D iNAV估计3D旋转和平移。从3D iNAV和重建的面元图像之间的变形场分别获得两组局部非刚性运动。生成一组运动校正图像，并通过从该组中选择最佳聚焦像素来逐个像素地组装最终图像。对6名健康志愿者进行了体内研究，以比较所提出的方法与3D平移运动校正和无校正的性能。体内研究表明，与无校正相比，3D平移运动校正和所提出的方法分别将血管锐度提高了13%±13%和19%± 16%。与3D平移校正相比，在90个血管段中，75个段显示出所提出的方法的改善。我们开发了一种基于3D iNAV的非刚性运动校正方法和一种自动聚焦算法，可提高自由呼吸全心冠状动脉MRA的血管清晰度。
To develop a retrospective nonrigid motion-correction method based on 3D image-based navigators (iNAVs) for free-breathing whole-heart coronary magnetic resonance angiography (MRA). The proposed method detects global rigid-body motion and localized nonrigid motion from 3D iNAVs and compensates them with an autofocusing algorithm. To model the global motion, 3D rotation and translation are estimated from the 3D iNAVs. Two sets of localized nonrigid motions are obtained from deformation fields between 3D iNAVs and reconstructed binned images, respectively. A bank of motion-corrected images is generated and the final image is assembled pixel-by-pixel by selecting the best focused pixel from this bank. In vivo studies with six healthy volunteers were conducted to compare the performance of the proposed method with 3D translational motion correction and no correction. In vivo studies showed that compared to no correction, 3D translational motion correction and the proposed method increased the vessel sharpness by 13%±13% and 19%±16%, respectively. Out of 90 vessel segments, 75 segments showed improvement with the proposed method compared to 3D translational correction. We have developed a nonrigid motion-correction method based on 3D iNAVs and an autofocusing algorithm that improves the vessel sharpness of free-breathing whole-heart coronary MRA.
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影响因子：
4.4
作者：
Lai, Peng;Larson, Andrew C.;Bi, Xiaoming;Jerecic, Renate;Li, Debiao
通讯作者：
Li, Debiao
影响因子：
3.3
作者：
Coppo, Simone;Piccini, Davide;Stuber, Matthias
通讯作者：
Stuber, Matthias
影响因子：
3.3
作者：
Gurney, PT;Hargreaves, BA;Nishimura, DG
通讯作者：
Nishimura, DG
影响因子：
3.3
作者：
Henningsson, Markus;Smink, Jouke;Botnar, Rene M.
通讯作者：
Botnar, Rene M.
影响因子：
3.3
作者：
Batchelor, PG;Atkinson, D;Larkman, D
通讯作者：
Larkman, D