Robarts Research Institute, London, Canada.
J Magn Reson Imaging. 2012 Dec;36(6):1402-12. doi: 10.1002/jmri.23767. Epub 2012 Jul 31.
To present and evaluate a method for registration of whole-mount prostate digital histology images to ex vivo magnetic resonance (MR) images.
Nine radical prostatectomy specimens were marked with 10 strand-shaped fiducial markers per specimen, imaged with T1- and T2-weighted 3T MRI protocols, sliced at 4.4-mm intervals, processed for whole-mount histology, and the resulting histological sections (3-5 per specimen, 34 in total) were digitized. The correspondence between fiducial markers on histology and MR images yielded an initial registration, which was refined by a local optimization technique, yielding the least-squares best-fit affine transformation between corresponding fiducial points on histology and MR images. Accuracy was quantified as the postregistration 3D distance between landmarks (3-7 per section, 184 in total) on histology and MR images, and compared to a previous state-of-the-art registration method.
The proposed method and previous method had mean (SD) target registration errors of 0.71 (0.38) mm and 1.21 (0.74) mm, respectively, requiring 3 and 11 hours of processing time, respectively.
The proposed method registers digital histology to prostate MR images, yielding 70% reduced processing time and mean accuracy sufficient to achieve 85% overlap on histology and ex vivo MR images for a 0.2 cc spherical tumor.
提出并评估一种将整个前列腺数字组织学图像与离体磁共振（MR）图像配准的方法。
9 例根治性前列腺切除术标本，每例标本用 10 根线状基准标记物标记，采用 3T MRI T1 加权和 T2 加权协议进行成像，以 4.4mm 的间隔进行切片，进行全组织学处理，得到的组织学切片（每例 3-5 张，共 34 张）进行数字化。组织学和 MR 图像上基准标记物之间的对应关系产生了初始配准，通过局部优化技术对其进行了细化，得到了组织学和 MR 图像上对应基准点之间的最小二乘最佳仿射变换。准确性通过组织学和 MR 图像上的 landmarks（每个切片 3-7 个，总共 184 个）的配准后 3D 距离来量化，并与之前的最先进的配准方法进行比较。
所提出的方法和之前的方法的靶标注册误差的平均值（标准差）分别为 0.71（0.38）mm 和 1.21（0.74）mm，分别需要 3 小时和 11 小时的处理时间。
所提出的方法将数字组织学与前列腺 MR 图像进行了配准，处理时间缩短了 70%，平均精度足以在组织学和离体 MR 图像上实现 85%的重叠，用于 0.2cc 球形肿瘤。
