HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.
HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.
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Histostitcher（©）：一种交互式程序，用于从组织碎片中精确，快速重建整个组织学切片。
DOI：
10.1016/j.compmedimag.2011.01.010
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发表时间：
2011-10
期刊：
影响因子：
--
通讯作者：
Madabhushi A
中科院分区：
文献类型：
--
作者：
Chappelow J;Tomaszewski JE;Feldman M;Shih N;Madabhushi A
我们提出了一个称为组织缝合器的交互程序，用于准确和快速地将组织学片段重新组装成伪完整的数字化组织切片。通过选择多对解剖标志来帮助操作员完成相邻组织学片段的缝合，并且提供了一套确定和应用最佳线性变换以生成缝合图像的计算例程。在大组织标本的整个切片的制备不可行或不有效的应用中，需要从包含较小碎片的载玻片的图像重建整个组织切片，并且需要这样的整体支架以促进(A)疾病注释和(B)图像与放射图像的配准。与在通用图像编辑程序(如Photoshop)中手动重组图像片段不同，StanoStitcher在高分辨率数字化组织学图像上提供高效的内存操作和高度灵活的拼接过程，能够在更短的时间内产生更准确的结果。此外，通过对由拼接过程确定的一系列变换进行参数化，可以保存、在稍后时间加载、改进或重新应用于多分辨率扫描，或将其快速传输到另一站点。在这篇文章中，我们详细描述了OrganoStitcher的设计和用于计算最佳图像变换的数学例程，并演示了它为8个不同的患者研究缝合高分辨率组织学象限以形成数字重组的整个组织切片的操作。为了评估缝合质量，三位独立的专家病理医生采用了6分计分方案，该方案评估了对疾病注释重要的解剖结构的对准和连续性。在与该方案相比的6项研究中，通过组织缝合器生成的重建切片得分高于由专家病理学家使用Photoshop生成的重建切片。
We present an interactive program called HistoStitcher© for accurate and rapid reassembly of histology fragments into a pseudo-whole digitized histological section. HistoStitcher© provides both an intuitive graphical interface to assist the operator in performing the stitch of adjacent histology fragments by selecting pairs of anatomical landmarks, and a set of computational routines for determining and applying an optimal linear transformation to generate the stitched image. Reconstruction of whole histological sections from images of slides containing smaller fragments is required in applications where preparation of whole sections of large tissue specimens is not feasible or efficient, and such whole mounts are required to facilitate (a) disease annotation and (b) image registration with radiological images. Unlike manual reassembly of image fragments in a general purpose image editing program (such as Photoshop), HistoStitcher© provides memory efficient operation on high resolution digitized histology images and a highly flexible stitching process capable of producing more accurate results in less time. Further, by parameterizing the series of transformations determined by the stitching process, the stitching parameters can be saved, loaded at a later time, refined, or reapplied to multi-resolution scans, or quickly transmitted to another site. In this paper, we describe in detail the design of HistoStitcher© and the mathematical routines used for calculating the optimal image transformation, and demonstrate its operation for stitching high resolution histology quadrants of a prostate specimen to form a digitally reassembled whole histology section, for 8 different patient studies. To evaluate stitching quality, a 6 point scoring scheme, which assesses the alignment and continuity of anatomical structures important for disease annotation, is employed by three independent expert pathologists. For 6 studies compared with this scheme, reconstructed sections generated via HistoStitcher scored higher than reconstructions generated by an expert pathologist using Photoshop.
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