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Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images

机译:全挂载前列腺数字组织病理学直接注册到离体MR图像的验证。

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Accurate determination of cancer stage and grade from in vivo prostate imaging could improve biopsy guidance, therapy selection and, possibly, focal therapy guidance. Validating prostate cancer imaging ideally requires accurate 3D registration of in vivo imaging to histopathology, which is facilitated by intermediate histology- ex vivo imaging registration. This work introduces and evaluates a direct registration with fiducial-based local refinement of digital prostate histopathology to ex vivo magnetic resonance (MR) images that obviates three elements typical of existing methods: (1) guidance of specimen slicing, (2) imaging/photography of sliced tissue blocks, and (3) registration guidance based on anatomical image features. The mean target registration error (TRE) of 98 intrinsic landmarks across 21 histology images was calculated for the proposed direct registration (0.7 mm) and compared to existing approaches: indirect using tissue block MR images (0.8 mm) and image-guided-slicing-based (1.0 mm). The local refinement was also shown to improve existing approaches to achieve a similar mean TRE (0.7 mm).
机译:从体内前列腺成像准确确定癌症的阶段和等级可以改善活检指导,治疗选择以及可能的局灶性治疗指导。理想地,验证前列腺癌成像需要体内成像与组织病理学的准确3D配准,而中间组织学-离体成像配准则有助于这一点。这项工作介绍并评估了基于基准的数字前列腺组织病理学局部改良对离体磁共振(MR)图像的直接配准,从而消除了现有方法的三个典型特征:(1)标本切片指导,(2)成像/摄影切片的组织块,以及(3)基于解剖图像特征的定位指导。针对建议的直接配准(0.7 mm)计算了21个组织学图像中98个固有地标的平均目标配准误差(TRE),并与现有方法进行了比较:间接使用组织块MR图像(0.8 mm)和图像引导切片-基础(1.0毫米)。还显示出局部改进可以改善现有方法,以实现类似的平均TRE(0.7毫米)。

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