Schalk Stefan G, Postema Arnoud, Saidov Tamerlan A, Demi Libertario, Smeenge Martijn, de la Rosette Jean J M C H, Wijkstra Hessel, Mischi Massimo
Department of Electrical Engineering, Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, The Netherlands.
Department of Urology, AMC University Hospital, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
Comput Med Imaging Graph. 2016 Jan;47:29-39. doi: 10.1016/j.compmedimag.2015.11.001. Epub 2015 Dec 1.
Several transrectal ultrasound (TRUS)-based techniques aiming at accurate localization of prostate cancer are emerging to improve diagnostics or to assist with focal therapy. However, precise validation prior to introduction into clinical practice is required. Histopathology after radical prostatectomy provides an excellent ground truth, but needs accurate registration with imaging. In this work, a 3D, surface-based, elastic registration method was developed to fuse TRUS images with histopathologic results. To maximize the applicability in clinical practice, no auxiliary sensors or dedicated hardware were used for the registration. The mean registration errors, measured in vitro and in vivo, were 1.5±0.2 and 2.1±0.5mm, respectively.
为了改进诊断或辅助聚焦治疗，几种基于经直肠超声（TRUS）的旨在精确定位前列腺癌的技术正在兴起。然而，在引入临床实践之前需要进行精确验证。根治性前列腺切除术后的组织病理学提供了极佳的真实对照，但需要与成像进行精确配准。在这项工作中，开发了一种基于表面的三维弹性配准方法，以将TRUS图像与组织病理学结果融合。为了最大限度地提高在临床实践中的适用性，配准过程未使用辅助传感器或专用硬件。体外和体内测量的平均配准误差分别为1.5±0.2毫米和2.1±0.5毫米。
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