Behringer Peter A, Herz Christian, Penzkofer Tobias, Tuncali Kemal, Tempany Clare M, Fedorov Andriy
Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Institute of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Clin Image Based Proced. 2016;9401:122-129. doi: 10.1007/978-3-319-31808-0_15. Epub 2016 Mar 23.
Accurate sampling of cancer suspicious locations is critical in targeted prostate biopsy, but can be complicated by the motion of the prostate. We present an open-source software for intra-procedural tracking of the prostate and biopsy targets using deformable image registration. The software is implemented in 3D Slicer and is intended for clinical users. We evaluated accuracy, computation time and sensitivity to initialization, and compared implementations that use different versions of the Insight Segmentation Toolkit (ITK). Our retrospective evaluation used data from 25 in-bore MRI-guided prostate biopsy cases (343 registrations total). Prostate Dice similarity coefficient improved on average by 0.17 (p < 0.0001, range 0.02-0.48). Registration was not sensitive to operator variability. Computation time decreased significantly for the implementation using the latest version of ITK. In conclusion, we presented a fully functional open-source tool that is ready for prospective evaluation during clinical MRI-guided prostate biopsy interventions.
在靶向前列腺活检中,对癌症可疑部位进行准确采样至关重要,但前列腺的运动可能会使其变得复杂。我们展示了一款用于使用可变形图像配准对前列腺和活检靶点进行术中跟踪的开源软件。该软件在3D Slicer中实现,面向临床用户。我们评估了准确性、计算时间和对初始化的敏感性,并比较了使用不同版本的Insight分割工具包(ITK)的实现方式。我们的回顾性评估使用了来自25例腔内MRI引导前列腺活检病例的数据(总共343次配准)。前列腺骰子相似系数平均提高了0.17(p < 0.0001,范围0.02 - 0.48)。配准对操作者的变异性不敏感。使用最新版本ITK的实现方式计算时间显著减少。总之,我们展示了一个功能齐全的开源工具,准备好在临床MRI引导前列腺活检干预期间进行前瞻性评估。