Efficient Acquisition of Serially Sectioned Images from Human Embryo Specimens for Retrospective 3D Image Reconstructio

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  • IIDA Tomoko
    Department of Systems Science, Graduate School of Informatics, Kyoto University
  • MIZUTA Shinobu
    Department of Systems Science, Graduate School of Informatics, Kyoto University
  • MATSUDA Tetsuya
    Department of Systems Science, Graduate School of Informatics, Kyoto University
  • YAMADA Shigehito
    Congenital Anomaly Research Center, Graduate School of Medicine, Kyoto University
  • SHIOTA Kohei
    Congenital Anomaly Research Center, Graduate School of Medicine, Kyoto University

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Other Title
  • ヒト胚子連続切片標本画像からのretrospectiveな3次元再構成を目的とした画像系列の効率的取得
  • ヒト ハイシ レンゾク セッペン ヒョウホン ガゾウ カラノ retrospectiveナ 3ジゲン サイコウセイ オ モクテキ ト シタ ガゾウ ケイレツ ノ コウリツテキ シュトク

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Abstract

In order to elucidate the process of morphological formation in the development of human embryos, it is useful to browse their three-dimensional (3D) images. Currently, we are trying to acquire sets of 2D images from a large number of serially sectioned human embryo specimens and reconstruct 3D images from the series of images. Since the specimens have been obtained over a period of time, the 3D reconstruction has to be carried out retrospectively. Problems of image acquisition for retrospective 3D reconstruction include a large amount of manual operation, damage to some sections and variations of orientation. The goal of our research is the efficient acquisition of 2D images. We propose semi-automated methods to acquire images, with the elimination of damaged sections and rearrangement of the series of specimens. From experiments, we have evaluated the effectiveness of our proposed methods.

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