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首页> 外文期刊>Medical Physics >Evaluation of intersession 3D-TRUS to 3D-TRUS image registration for repeat prostate biopsies.
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Evaluation of intersession 3D-TRUS to 3D-TRUS image registration for repeat prostate biopsies.

机译:闭会期间3D-TRUS到3D-TRUS图像配准的评估,以进行重复的前列腺活检。

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PURPOSE: 3D-TRUS-guided prostate biopsy permits a 3D record of biopsy cores, supporting the planning of targets to resample or avoid during repeat biopsy sessions. Image registration is required in order to map biopsy targets planned on a previous session's 3D-TRUS image into the context of the current session. The authors evaluated the performance of surface- and intensity-based rigid and nonrigid registration algorithms for this task using a clinically motivated success criterion of a maximum 2.5 mm target registration error (TRE). METHODS: The authors collected two 3D-TRUS images for each of 13 patients, where each image was collected in a separate biopsy session, and the sessions were 1 week apart. The authors tested the iterative closest point and thin-plate spline surface-based registration methods, and the block matching and B-spline intensity-based methods. Manually marked intrinsic fiducials (calcifications) were used to calculate a TRE for each of the tested methods. In addition, error ellipsoids, anisotropy, and variability due to image segmentation were analyzed. All analysis was performed separately for the peripheral zone since this area harbors up to 80% of all prostate cancer. RESULTS: Only the intensity-based nonrigid registration method met the success criterion for both the whole gland and the peripheral zone. Segmentation was a substantial contributor to registration error variability for the surface-based methods, and the surface-based methods resulted in greater error volumes and anisotropy. CONCLUSIONS: Intensity-based rigid registration is clinically sufficient to register regions outside the peripheral zone, but nonrigid registration is required in order to register the peripheral zone with clinically needed accuracy. The clinical advantage of using nonrigid registration is questionable since the difference between the RMS TREs for rigid and nonrigid intensity-based registration could be considered to be small (0.3 mm) and is statistically significant. If the added clinical value in performing a nonrigid registration is insufficient given the additional time required for this computation, rigid registration alone may be suitable.
机译:目的:3D-TRUS引导的前列腺活检允许3D记录活检核心,支持规划目标以在再次进行活检期间重新取样或避免。为了将上一届会议的3D-TRUS图像上计划的活检目标映射到当前会议的上下文中,需要进行图像配准。作者使用基于临床动机的最大2.5 mm目标对准误差(TRE)的成功标准,评估了基于表面和强度的刚性和非刚性对准算法的性能。方法:作者为13位患者中的每位患者收集了2张3D-TRUS图像,其中每张图像均在单独的活检过程中收集,并且每次间隔1周。作者测试了基于迭代最近点和薄板样条曲面的配准方法,以及基于块匹配和B样条强度的配准方法。手动标记的固有基准(钙化)用于计算每种测试方法的TRE。此外,还分析了误差椭球,各向异性和由于图像分割而引起的可变性。由于该区域最多可容纳所有前列腺癌的80%,因此对周边区域分别进行了所有分析。结果:只有基于强度的非刚性配准方法才能满足整个腺体和周围区域的成功标准。分割是导致基于表面的方法的配准误差可变性的重要因素,并且基于表面的方法导致更大的误差量和各向异性。结论:基于强度的刚性配准在临床上足以配准外围区域以外的区域,但是需要非刚性配准才能以临床所需的精度配准外围区域。使用非刚性配准的临床优势值得怀疑,因为用于刚性和基于非强度强度配准的RMS TRE之间的差异可被认为很小(0.3 mm),并且具有统计学意义。如果给定此计算所需的额外时间,执行非刚性配准时增加的临床价值不足,则单独使用刚性配准可能是合适的。

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