Thayer School of Engineering, Dartmouth College, 8000 Cummings Hall, Hanover, NH 03755, USA.
Physiol Meas. 2010 Aug;31(8):S1-16. doi: 10.1088/0967-3334/31/8/S01. Epub 2010 Jul 21.
Transrectal electrical impedance tomography (TREIT) has been proposed as an adjunct modality for enhancing standard clinical ultrasound (US) imaging of the prostate. The proposed TREIT probe has an array of electrodes adhered to the surface of a cylindrical US probe that is introduced inside of the imaging volume. Reconstructing TREIT images in the open-domain geometry established with this technique poses additional challenges to those encountered with closed-domain geometries, present in more conventional EIT systems, because of the rapidly decaying current densities at increasing distances from the probe surface. We developed a finite element method (FEM)-based dual-mesh reconstruction algorithm which employs an interpolation scheme for linking a fine forward mesh with a coarse grid of pixels, used for conductivity estimation. Simulation studies using the developed algorithm demonstrate the feasibility of imaging moderately contrasting inclusions at distances of three times the probe radius from the probe surface and at multiple angles about the probe's axis. The large, dense FEM meshes used here require significant computational effort. We have optimized our reconstruction algorithm with multi-core processing hardware and efficient parallelized computational software packages to achieve a speedup of 9.3 times when compared to a more traditional Matlab-based, single CPU solution. The simulation findings and computational optimization provide a state-of-the-art reconstruction platform for use in further evaluating transrectal electrical impedance tomography.
经直肠电阻抗断层成像(TREIT)被提议作为一种辅助手段,以增强前列腺的标准临床超声(US)成像。所提出的 TREIT 探头具有附着在圆柱形 US 探头表面的电极阵列,该探头被引入成像体积内部。由于从探头表面的距离增加,电流密度迅速衰减,因此在使用该技术建立的开放域几何结构中重建 TREIT 图像会带来与更传统的 EIT 系统中存在的封闭域几何结构所遇到的挑战不同的挑战。我们开发了一种基于有限元方法(FEM)的双网格重建算法,该算法采用一种插值方案将精细的正向网格与用于电导率估计的粗像素网格连接起来。使用所开发的算法进行的仿真研究表明,在距离探头表面三倍探头半径的位置并在探头轴周围的多个角度成像中等对比度的夹杂物是可行的。这里使用的大型密集 FEM 网格需要大量的计算工作量。我们已经使用多核处理硬件和高效的并行计算软件包对我们的重建算法进行了优化,与更传统的基于 Matlab 的单 CPU 解决方案相比,速度提高了 9.3 倍。模拟结果和计算优化为进一步评估经直肠电阻抗断层成像提供了一个最先进的重建平台。