Automatic Registration and Error Detection of Multiple Slices Using Landmarks

H. Frimmel, L. Egevad, C. Busch, E. Bengtsson
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引用次数: 1

Abstract

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.
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使用地标的多片自动配准和错误检测
目标。在分析组织的三维结构时,对切片进行连续切片和染色有时是首选方法。这将导致严重的注册问题。本文提出了一种利用标志针进行切片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是基于切片和地标针的模型。该方法已被用于登记前列腺切片,以创建3D计算机模型。对相同的前列腺进行了人工登记,并与算法的结果进行了比较。方法。对16例行根治性前列腺切除术的患者,采用福尔马林路标针固定前列腺,切片并进行计算机重建。成本函数将每个前列腺切片的旋转和平移,以及每个地标针的斜率和偏移量作为输入。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建不稳定性。该方法使用标准算法来优化前列腺切片位置。为了验证结果,采用统计学中的s标准方法。结果。对16例前列腺进行了评价。当盲目测试时,医生无法确定显示给他的注册是通过本文描述的自动方法创建的,还是由专家手动创建的,除了16例中的1例。目视检查和异常分析证实输入数据已经变形。错误切片的自动检测将一些切片(包括离群值)标记为可疑。结论。基于模型的配准性能优于传统的简单逐片配准。在前列腺切片配准的情况下,其他方面,如所使用的物理切片方法,可能比选择使用的配准方法对最终结果更重要。
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