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Image-guided prostate sectioning supporting registration of gradedcancerous foci from digital histopathology images to in vivo MRI:An interactive 3D visualization tool

机译:从数字组织病理学图像中向Vivo MRI中的渐变癌细胞的标准配套的图像引导前列腺切片:交互式3D可视化工具

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Personalized treatment of prostate cancer would be enhanced by an assessment of cancer stage and grade from imaging, the validation of which requires the accurate co-registration of in vivo images with a gold standard for stage and grade established by histopathology. We present a visualization tool supporting an image-guided approach enabling the acquisition of histopathology images parallel to the in vivo imaging planes, simplifying this registration. This tool decreases imaging-to-specimen landmark alignment error by 62%, and decreases the time required to mark the slicing plane on the specimen by 47%. Preliminary results from our method demonstrate the alignment of regions suspicious for. cancer on T2w MRI with confirmed cancer foci on histopathology, and we calculate a sub-millimeter in-plane target registration error.
机译:通过评估癌症阶段和成像等级的验证,将提高前列腺癌的个性化治疗,其验证需要通过组织病理学建立的阶段和等级的金标准的体内图像准确协调。我们提出了一种支持图像引导方法的可视化工具,其能够采集与体内成像平面平行的组织病理学图像,简化该登记。该工具将成像到标本的地标对准误差减少62%,并降低将样品上的切片平面标记为47%所需的时间。我们的方法的初步结果展示了区域可疑的区域对齐。 T2W MRI对组织病理学证实癌症患者的癌症,我们计算了亚毫米面内目标登记误差。

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