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Méthode de mise en correspondance tridimensionnelle entre des coupes IRM de la prostate et les coupes histologiques des pièces de prostatectomie

机译:前列腺MRI切片与前列腺切除术标本组织切片之间的三维映射方法

摘要

Prostate cancer is the most frequently diagnosed cancer of men in Europe, yet no current imaging technique is capable of detecting with precision tumours in the prostate. The histology slices are the gold standard for the diagnosis. Therefore, in order to evaluate each imaging technique, the histology slices must be precisely registered to the imaged data. As it cannot be assumed that the histology slices are cut along the same plane as the imaged data is acquired, the registration must be considered as a 3D problem. An apparatus has been developed that enables internal fiducial markers to be created in the histology slices in a rapid and standardised manner. An algorithm has been developed that automatically detects and identifies these markers, enabling the alignment of the histology slices. The method has been tested on 10 prostate specimens, with 19.2 slices on average per specimen. The accuracy of the alignment at the fiducial markers was on average 0.18±0.13 mm. A second algorithm was developed to 3D register the aligned histology slices with the MR images. The registration is designed to be guided by the ejaculatory ducts, an anatomical landmark present in every prostate and visible in both histology and MR images acquired at standard clinical resolution. The algorithm was first tested by using the fiducial needles to guide the registration. The average registration accuracy was 0.45 ± 0.25 mm at the fiducial needles and 1.04±0.21 mm at the ejaculatory ducts. The algorithm was then tested by using the ejaculatory ducts to guide the registration. The average registration accuracy was 0.16±0.05 mm at the ejaculatory ducts and 2.82 ± 0.41 mm at the fiducial needles. The results suggest that the histology shrinkage factor is of the order 1.07±0.03 and the tilt of the histology slicing plane is 13.6◦ ±9.61◦, with both parameters showing significant variance
机译:前列腺癌是欧洲男性中最常被诊断出的癌症,但是目前尚无影像技术能够检测出前列腺中的精确肿瘤。组织切片是诊断的金标准。因此,为了评估每种成像技术,必须将组织学切片精确地配准到成像数据。由于不能假设组织切片是在获取成像数据时沿同一平面切割的,因此必须将配准视为3D问题。已经开发出一种设备,该设备使得能够以快速和标准化的方式在组织学切片中创建内部基准标记。已经开发了一种算法,该算法可以自动检测和识别这些标记,从而实现组织切片的对齐。该方法已在10个前列腺标本上进行了测试,每个标本平均有19.2片。在基准标记处的对准准确度平均为0.18±0.13mm。开发了第二种算法,将对齐的组织切片与MR图像3D对齐。配准设计为由射精管引导,射精管存在于每个前列腺中,并且在以标准临床分辨率获得的组织学和MR图像中均可见。该算法首先通过使用基准针来引导配准进行测试。基准针的平均套准精度为0.45±0.25 mm,射精管的平均套准精度为1.04±0.21 mm。然后通过使用射精管引导配准对算法进行测试。射精管的平均套准精度为0.16±0.05 mm,基准针的平均套准精度为2.82±0.41 mm。结果表明,组织学收缩因子约为1.07±0.03,组织学切片平面的倾斜度为13.6°±9.61°,两个参数均显示出明显的方差

著录项

  • 作者

    Hugues Cécilia;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类
  • 入库时间 2022-08-20 20:24:43

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