Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Boston, MA, USA.
Int J Comput Assist Radiol Surg. 2009 Nov;4(6):549-60. doi: 10.1007/s11548-009-0369-z. Epub 2009 Jun 23.
A method to register endoscopic and laparoscopic ultrasound (US) images in real time with pre-operative computed tomography (CT) data sets has been developed with the goal of improving diagnosis, biopsy guidance, and surgical interventions in the abdomen.
The technique, which has the potential to operate in real time, is based on a new phase correlation technique: LEPART, which specifies the location of a plane in the CT data which best corresponds to the US image. Validation of the method was carried out using an US phantom with cyst regions and with retrospective analysis of data sets from animal model experiments.
The phantom validation study shows that local translation displacements can be recovered for each US frame with a root mean squared error of 1.56 +/- 0.78 mm in less than 5 sec, using non-optimized algorithm implementations.
A new method for multimodality (preoperative CT and intraoperative US endoscopic images) registration to guide endoscopic interventions was developed and found to be efficient using clinically realistic datasets. The algorithm is inherently capable of being implemented in a parallel computing system so that full real time operation appears likely.
为了提高腹部疾病的诊断、活检指导和手术干预的水平，我们开发了一种将内镜超声（US）图像与术前计算机断层扫描（CT）数据集实时配准的方法。
该技术基于一种新的相位相关技术：LEPART，它指定了 CT 数据中与 US 图像最佳对应的平面位置。该方法的验证是通过具有囊肿区域的 US 体模以及对动物模型实验数据集的回顾性分析来进行的。
体模验证研究表明，使用非优化算法实现，对于每个 US 帧，局部平移位移可以在不到 5 秒的时间内以均方根误差 1.56 +/- 0.78mm 的精度恢复。
我们开发了一种新的多模态（术前 CT 和术中 US 内镜图像）配准方法，用于指导内镜介入，使用临床现实数据集发现其效率很高。该算法本质上能够在并行计算系统中实现，因此全实时操作似乎是可行的。
