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A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures.

机译:在图像引导的心脏导管插入术中用于呼吸运动校正的特定对象技术。

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摘要

We describe a system for respiratory motion correction of MRI-derived roadmaps for use in X-ray guided cardiac catheterisation procedures. The technique uses a subject-specific affine motion model that is quickly constructed from a short pre-procedure MRI scan. We test a dynamic MRI sequence that acquires a small number of high resolution slices, rather than a single low resolution volume. Additionally, we use prior knowledge of the nature of cardiac respiratory motion by constraining the model to use only the dominant modes of motion. During the procedure the motion of the diaphragm is tracked in X-ray fluoroscopy images, allowing the roadmap to be updated using the motion model. X-ray image acquisition is cardiac gated. Validation is performed on four volunteer datasets and three patient datasets. The accuracy of the model in 3D was within 5mm in 97.6% of volunteer validations. For the patients, 2D accuracy was improved from 5 to 13mm before applying the model to 2-4mm afterwards. For the dynamic MRI sequence comparison, the highest errors were found when using the low resolution volume sequence with an unconstrained model.
机译:我们描述了用于X射线引导的心脏导管插入术程序的MRI衍生路线图的呼吸运动校正系统。该技术使用了特定于对象的仿射运动模型,该模型可以通过简短的术前MRI扫描快速构建。我们测试了动态MRI序列,该序列获取少量高分辨率切片,而不是单个低分辨率体积。此外,我们通过将模型限制为仅使用主要运动模式来使用心脏呼吸运动性质的先验知识。在此过程中,将在X射线透视图像中跟踪隔膜的运动,从而可以使用运动模型来更新路线图。 X射线图像采集是心脏门控的。对四个志愿者数据集和三个患者数据集进行验证。经过自愿验证的97.6%,3D模型的准确性在5mm以内。对于患者,在将模型应用到2至4毫米之前,二维精度从5毫米提高到13毫米。对于动态MRI序列比较,在将低分辨率体积序列与无约束模型配合使用时,发现最高误差。

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