【2h】

Automatic Registration and Error Detection of Multiple Slices Using Landmarks

机译:使用地标自动对多个切片进行配准和错误检测

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摘要

Objectives. When analysing the 3D structure of tissue, serial sectioning and staining of the resulting slices is sometimes the preferred option. This leads to severe registration problems. In this paper, a method for automatic registration and error detection of slices using landmark needles has been developed. A cost function takes some parameters from the current state of the problem to be solved as input and gives a quality of the current solution as output. The cost function used in this paper, is based on a model of the slices and the landmark needles. The method has been used to register slices of prostates in order to create 3D computer models. Manual registration of the same prostates has been undertaken and compared with the results from the algorithm. Methods. Prostates from sixteen men who underwent radical prostatectomy were formalin fixed with landmark needles, sliced and the slices were computer reconstructed. 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.
机译:目标。分析组织的3D结构时,连续切片和对所得切片进行染色有时是首选方法。这导致严重的注册问题。在本文中,已开发出一种使用地标针自动定位和错误检测切片的方法。成本函数从待解决问题的当前状态中获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。本文使用的成本函数基于切片和界标针的模型。该方法已用于配准前列腺切片,以创建3D计算机模型。已经进行了相同前列腺的手动配准,并与算法结果进行了比较。方法。用标志性针将福尔马林固定在16例行根治性前列腺切除术的男性前列腺中,切成薄片,然后用计算机重建切片。成本函数将每个前列腺切片的旋转和平移以及每个界标针的倾斜度和偏移量作为输入。使用给定的输入参数,返回模型的当前拟合质量。该函数考虑了模型的内置不稳定性。该方法使用标准算法来优化前列腺切片的位置。为了验证结果,使用了统计中的标准方法。结果。该方法评估了16个前列腺。当进行盲目测试时,除了16例病例中的1例,医生无法确定显示给他的注册是通过本文中描述的自动方法还是由专家手动创建的。目视检查和对异常值的分析确认输入数据已变形。自动检测错误的切片会将包括异常值在内的几个切片标记为可疑。结论。基于模型的配准要比传统的简单分片配准好。在前列腺切片注册的情况下,其他方面(例如,使用的物理切片方法)对于最终结果可能比选择要使用的注册方法更为重要。

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