介入心脏病学快速超声到超声自动登记

A. Pham, Erik Andreas Rye Berg, F. Veronesi, S. Fiorentini, A. Fatemi, B. Grenne, O. Gérard, G. Kiss
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引用次数: 1

摘要

许多介入手术依赖于三维经食管超声心动图(TEE)成像来指导介入医师在心脏内操作仪器/设备。手动注册超声到超声或其他模式是市售的。然而,自动配准是非常可取的,以避免人工重新标记,并在手术期间估计探针运动以进行运动补偿。有许多已发布的自动注册方法,但它们不适合用于干预性设置,因为它们不够快。在这项工作中,我们提出了一种接近实时的3D超声体积到3D超声体积的自动配准方法,该方法在GPU上实现。自动配准方法对临床数据的处理是成功的,7例患者中有5例视觉对准良好。将体积分解为多项式系数需要73ms,并且每个金字塔级别执行一次。一次迭代平均耗时53毫秒。所提出的配准方法足够快,可以在超声扫描仪上实时使用。当该方法收敛到一个很好的结果,它接近于专家的手动配准误差0.48±2.1mm平移在X方向,-0.8±2.0mm平移在Y方向,0.86±1.8mm平移在Z方向,-1.82±1.54◦旋转关于X轴,1.47±2.77◦旋转关于Y轴,和-0.63±0.76◦旋转关于Z轴。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Ultrasound to Ultrasound Auto-Registration for Interventional Cardiology
Many interventional procedures rely on 3D trans-esophageal echocardiography (TEE) imaging to guide the interventionist during instrument/device manipulation inside the heart. Manual registration of ultrasound to ultrasound or other modalities is commercially available. However, auto-registration is highly desirable, to avoid manual re-labelling and to estimate probe motion for motion compensation during surgery. There are a number of published auto-registration methods, but they are not suitable for interventional setups as they are not fast enough. In this work we present a close to real-time 3D ultrasound volume to 3D ultrasound volume auto-registration method that is implemented on the GPU. The auto-registration method performed on the clinical data was successful and good visual alignment was observed in 5 out of 7 cases. Decomposing a volume into its polynomial coefficients took 73ms and was performed once for each pyramid level. One iteration took on an average of 53ms. The proposed registration method is fast enough to allow real-time usage on the ultrasound scanner. When the method converges to a good result it is close to the expert’s manual registration with discrepancies of 0.48 ± 2.1mm for translation in the X direction, -0.8 ± 2.0mm for translation in the Y direction, 0.86 ± 1.8mm for translation in the Z direction, -1.82 ± 1.54◦ for rotation about the X axis, 1.47 ± 2.77◦ for rotation about the Y axis, and -0.63 ± 0.76◦ for rotation about the Z axis.
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