Penney Graeme P, Barratt Dean C, Chan Carolyn S K, Slomczykowski Mike, Carter Timothy J, Edwards Phillip J, Hawkes David J
Centre for Medical Image Computing (CMIC), University College London, UK.
Med Image Comput Comput Assist Interv. 2005;8(Pt 2):1000-7. doi: 10.1007/11566489_123.
A method is presented for the registration of tracked B-mode ultrasound images to a CT volume of a femur or pelvis. This registration can allow tracked surgical instruments to be aligned with the CT image or an associated preoperative plan. Our method requires no manual segmentation of either the ultrasound images or the CT volume. The CT and US images are processed to produce images where the image intensity represents the probability of the presence of a bone edge. These images are then registered together using normalised cross-correlation as a similarity measure. The parameter which represents the speed of sound through tissue has also been included in the registration optimisation process. Experiments have been carried out on six cadaveric femurs and three cadaveric pelves. Registration results were compared with a "gold standard" registration acquired using bone implanted fiducial markers. Results show the registration method to be accurate, on average, to 1.7 mm root-mean-square target registration error.
本文提出了一种将跟踪的B超图像与股骨或骨盆的CT容积进行配准的方法。这种配准能够使跟踪的手术器械与CT图像或相关的术前计划对齐。我们的方法无需对超声图像或CT容积进行手动分割。对CT和超声图像进行处理,以生成图像强度表示骨边缘存在概率的图像。然后使用归一化互相关作为相似性度量将这些图像配准在一起。表示声音在组织中传播速度的参数也已包含在配准优化过程中。已在六个尸体股骨和三个尸体骨盆上进行了实验。将配准结果与使用植入骨的基准标记获得的“金标准”配准进行了比较。结果表明,该配准方法平均根均方目标配准误差为1.7毫米,精度较高。