首页> 外文会议>BMEI 2012;International Conference on Biomedical Engineering and Informatics >Visual check and automatic compensation for patient movement during image-guided Abdominal Aortic Aneurysm (AAA) stenting
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Visual check and automatic compensation for patient movement during image-guided Abdominal Aortic Aneurysm (AAA) stenting

机译:影像引导腹主动脉瘤(AAA)支架置入过程中的视觉检查和患者运动的自动补偿

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Abdominal Aortic Aneurysm (AAA) Stenting is an interventional repair to treat AAA. This procedure heavily relies on interventional imaging technology for navigation and guidance, typically by real time fluoroscopy with contrast medium injection. Recent advances of interventional imaging technology make it possible to register and fuse preoperative volumetric data with the fluoroscopy to provide more detailed visualization. However, the registration can be invalidated by patient movement, and therefore needs to be refined once patient movement happens. The current AAA intervention workflow requires physicians to manually fade in and out the volume rendering to visually check the patient movement, and manually re-register the volumetric data if patient movement is observed. The presented paper proposes a pelvis boundary detection method that enables real time monitoring of patient movement and an automatic 2D/3-D re-registration algorithm that compensates for it. By adding the two proposed components, the AAA intervention workflow becomes more seamless. Experiments on clinical data sets show the effectiveness of the proposed method.
机译:腹主动脉瘤(AAA)支架置入术是治疗AAA的介入修复方法。该过程在很大程度上依赖于介入成像技术进行导航和引导,通常通过实时荧光检查和造影剂注射来进行。介入成像技术的最新进展使得可以通过荧光透视术记录和融合术前体数据,从而提供更详细的可视化。但是,注册可能会因患者移动而无效,因此一旦患者移动发生就需要完善注册。当前的AAA干预工作流程要求医生手动淡入和淡出体积渲染以可视地检查患者运动,并在观察到患者运动时手动重新注册体积数据。本文提出了一种能够实时监控患者运动的骨盆边界检测方法,以及一种可以对其进行补偿的自动2D / 3-D重新注册算法。通过添加两个建议的组件,AAA干预工作流变得更加无缝。在临床数据集上的实验证明了该方法的有效性。

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