三维超声图像中直线电极的多分辨率平行积分投影快速定位

M. Uhercik, J. Kybic, H. Liebgott, C. Cachard
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引用次数: 14

摘要

我们解决了使用3D超声(US)快速准确定位针头或电极等微型手术器械的问题。一种基于最大化平行积分变换(PIP)的算法可以自动定位三维美国图像中的线形物体,精度在数百微米量级。在这里,我们提出使用多分辨率来显著加速算法。我们使用最大函数进行下采样,以保持薄电极的高强度体素。我们将多分辨率金字塔整合到PIP的分层网格搜索中。用组织模拟幻影和乳腺活检数据进行的实验表明,所提出的方法在真实的美国图像上效果良好。在相同精度0.4 mm的情况下,与原PIP法相比,速度提高了三倍。通过提前停止优化,可以进一步提高16倍的速度,但代价是准确性的一些损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-resolution parallel integral projection for fast localization of a straight electrode in 3D ultrasound images
We address the problem of fast and accurate localization of miniature surgical instruments like needles or electrodes using 3D ultrasound (US). An algorithm based on maximizing a parallel integral transform (PIP) can automatically localize line-shaped objects in 3D US images with accuracy on the order of hundreds of micrometers. Here we propose to use a multi-resolution to accelerate the algorithm significantly. We use a maximum function for downsampling to preserve the high intensity voxels of a thin electrode. We integrate the multi-resolution pyramid into a hierarchical mesh-grid search of PIP. The experiments with a tissue mimicking phantom and breast biopsy data show that proposed method works well on real US images. The speed-up is threefold compared to original PIP method with the same accuracy 0.4 mm. A further speed-up up to 16 times is reached by an early stopping of the optimization, at the expense of some loss of accuracy.
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