首页> 外文会议>Statistical atlases and computational models of the heart : Imaging and modelling challenges >Novel Looped-Catheter-Based 2D-3D Registration Algorithm for MR, 3DRx and X-Ray Images: Validation Study in an Ex-vivo Heart
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Novel Looped-Catheter-Based 2D-3D Registration Algorithm for MR, 3DRx and X-Ray Images: Validation Study in an Ex-vivo Heart

机译:基于新颖的基于导管的2D-3D MR,3DRx和X射线图像配准算法:离体心脏的验证研究

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In this paper, a novel 2D-3D cardiac image registration algorithm is proposed for application in X-ray-guided catheterisation procedures, and relies on a common technique of inserting a catheter and then looping it inside a chamber of the heart for visual reference. Registration starts with the isocentre-supine constraint and then iteratively refined by maximising a feature-based area metric using an inserted catheter loop and the segmented cardiac border from one or more X-ray views. Maximisation is done in two stages: first correcting for translational motion, and then simultaneously correcting for rotations and translations. The two-staged approach is demonstrated to be more accurate than a similar single-staged approach in an explanted porcine heart. In this experiment, accuracy was demonstrated to be within the 5-mm clinical requirement. On average, the algorithm could register images with a mean target registration error (TRE) of 4.6-mm when using two X-rays (biplane), and a mean reprojection distance (RPD) of 1.9 mm using a single view (monoplane).
机译:在本文中,提出了一种新颖的2D-3D心脏图像配准算法,用于X射线引导导管插入术,该算法依赖于插入导管然后将其环入心脏腔室的通用技术,以供视觉参考。配准从等中心-仰卧位约束开始,然后使用一个或多个X射线视图使用插入的导管环和分段的心脏边界,通过最大化基于特征的面积度量来迭代地完善。最大化分两个阶段进行:首先校正平移运动,然后同时校正旋转和平移。在移植的猪心脏中,两步法被证明比类似的单步法更准确。在该实验中,准确性被证明在5毫米临床要求之内。平均而言,该算法可以在使用两个X射线(双平面)时以4.6 mm的平均目标配准误差(TRE)配准图像,而在单个视​​图(单平面)上以1.9 mm的平均重投影距离(RPD)配准图像。

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