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三维重建:改善图像配准与解读的方法

Three-dimensional reconstruction: methods of improving image registration and interpretation.

作者信息

Deverell M H, Salisbury J R, Cookson M J, Holman J G, Dykes E, Whimster W F

机构信息

Department of Histopathology, King's College School of Medicine and Dentistry, Denmark Hill, London, UK.

出版信息

Anal Cell Pathol. 1993 Sep;5(5):253-63.

PMID:8217907
Abstract

(i) Image registration. The use of serial images for computerised three-dimensional reconstruction necessitates the inclusion of three separate sources of information at the stage of data input. These are (i) artificial registration points or fiducials, (ii) a calibration scale and (iii) an outline of each slab of the section to be included in the reconstruction. Most traditional methods rely on the production of drawings of the contours of the structure under investigation which also include both registration points and a calibration scale. We report on a method which considerably reduces the time involved at this labour intensive stage of reconstruction and in addition allows subsequent reconstructions of different structures to be performed without new drawings. Use is made of computerised alignment of tissue sections and the production of composite photomicrographs of both the tissue under investigation and an accurately registered stage micrometer scale. (ii) Improving image interpretation. Images derived from computerised three-dimensional reconstruction can be affected by the number of coordinates used to form the contour of each slice of a structure and by the number of slices that are used to construct the final model. Too little or too much data can considerably reduce the ability of the observer to interpret accurately the image generated by the computer. We report on a feature-based method which enables the experimenter to assess objectively the amount of data required in the two-dimensional plane, i.e. the number of data points per slice, and the three-dimensional plane, i.e. number of slices per structure, so that optimal reconstructions are generated.

摘要

(i)图像配准。使用连续图像进行计算机三维重建需要在数据输入阶段纳入三个独立的信息源。这些信息源包括:(i)人工配准点或基准点;(ii)校准标尺;(iii)要纳入重建的每个切片的轮廓。大多数传统方法依赖于绘制所研究结构的轮廓图,其中也包括配准点和校准标尺。我们报告了一种方法,该方法大大减少了重建这一劳动密集型阶段所涉及的时间,并且还允许在无需新图纸的情况下对不同结构进行后续重建。利用计算机对组织切片进行对齐,并制作所研究组织和精确配准的载物台测微尺的合成显微照片。(ii)改进图像解读。计算机三维重建得到的图像可能会受到用于形成结构每个切片轮廓的坐标数量以及用于构建最终模型的切片数量的影响。数据过少或过多都会大大降低观察者准确解读计算机生成图像的能力。我们报告了一种基于特征的方法,该方法使实验者能够客观评估二维平面(即每个切片的数据点数)和三维平面(即每个结构的切片数)所需的数据量,从而生成最佳重建结果。

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