基于地标的多切片自动配准和错误检测

摘要

目标。在分析组织的三维结构时，对得到的切片进行连续切片和染色有时是首选的选择。这导致了严重的注册问题。本文提出了一种利用地标针对切片进行自动配准和误差检测的方法。成本函数从要解决的问题的当前状态取一些参数作为输入，并给出当前解决方案的质量作为输出。本文所采用的代价函数是基于切片和地标针的模型。该方法已被用于注册前列腺切片，以创建三维计算机模型。对相同的前列腺进行了人工注册，并与算法结果进行了比较。方法。16名接受根治性前列腺切除术的男性患者的前列腺被福尔马林划痕针固定，切片后计算机重建。 The cost function takes rotation and translation for each prostate slice, as well as slope and offset for each landmark needle as input. The current quality of fit of the model, using the input parameters given, is returned. The function takes the built‐in instability of the model into account. The method uses a standard algorithm to optimize the prostate slice positions. To verify the result, s standard method in statistics was used. Results. The methods were evaluated for 16 prostates. When testing blindly, a physician could not determine whether the registration shown to him were created by the automated method described in this paper, or manually by an expert, except in one out of 16 cases. Visual inspection and analysis of the outlier confirmed that the input data had been deformed. The automatic detection of erroneous slices marked a few slices, including the outlier, as suspicious. Conclusions. The model based registration performs better than traditional simple slice‐wise registration. In the case of prostate slice registration, other aspects, such as the physical slicing method used, may be more important to the final result than the selection of registration method to use.

分析细胞病理学

摘要

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