Carbajal Guillermo, Lasso Andras, Gómez Alvaro, Fichtinger Gabor
Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay,
Int J Comput Assist Radiol Surg. 2013 Nov;8(6):1063-72. doi: 10.1007/s11548-013-0904-9. Epub 2013 Jul 28.
Freehand tracked ultrasound imaging is an inexpensive non-invasive technique used in several guided interventions. This technique requires spatial calibration between the tracker and the ultrasound image plane. Several calibration devices (a.k.a. phantoms) use N-wires that are convenient for automatic procedures since the segmentation of fiducials in the images and the localization of the middle wires in space are straightforward and can be performed in real time. The procedures reported in literature consider only the spatial position of the middle wire. We investigate if better results can be achieved if the information of all the wires is equally taken into account. We also evaluated the precision and accuracy of the implemented methods to allow comparison with other methods.
We consider a cost function based on the in-plane errors between the intersection of all the wires with the image plane and their respective segmented points in the image. This cost function is minimized iteratively starting from a seed computed with a closed-form solution based on the middle wires.
Mean calibration precision achieved with the N-wire phantom was about 0.5 mm using a shallow probe, and mean accuracy was around 1.4 mm with all implemented methods. Precision was about 2.0 mm using a deep probe.
Precision and accuracy achieved with the N-wire phantom and a shallow probe are at least comparable to that obtained with other methods traditionally considered more precise. Calibration using N-wires can be done more consistently if the parameters are optimized with the proposed cost function.
徒手跟踪超声成像技术是一种成本低廉的非侵入性技术,应用于多种引导介入操作中。该技术要求跟踪器与超声图像平面之间进行空间校准。几种校准设备(又称体模)使用N线,由于图像中基准点的分割以及空间中中线的定位简单直接且可实时进行,所以N线便于自动程序使用。文献中报道的程序仅考虑中线的空间位置。我们研究如果同等考虑所有线的信息是否能取得更好的结果。我们还评估了所实施方法的精度和准确性,以便与其他方法进行比较。
我们考虑一个基于所有线与图像平面的交点及其在图像中各自分割点之间的平面内误差的成本函数。从基于中线通过闭式解计算出的种子点开始,对该成本函数进行迭代最小化。
使用浅探头时,N线体模实现的平均校准精度约为0.5毫米,所有实施方法的平均准确度约为1.4毫米。使用深探头时,精度约为2.0毫米。
N线体模和浅探头实现的精度和准确度至少与传统上认为更精确的其他方法相当。如果使用所提出的成本函数对参数进行优化,使用N线进行校准可以更一致地完成。