A02-KB107 Analysis of Central Nervous System and Skeletal System During Human Early-fetal Period Based on Multidisciplinary Computational Anatomy
- Primary Investigator
- Tetsuya Takakuwa (Kyoto University, Professor)
- Corporative Researcher
- Shigehito Yamada (Kyoto University, Professor)
We are particularly interested in the 3-D morphogenesis of each organ during the human embryonic period and early fetal period (about 5–10 weeks of gestation). We mainly use digital data acquired with MRI and phase contrast CT, and histological serial sections from the Kyoto Collection. The Kyoto Collection samples were collected and can be utilized for research purposes. More than 40,000 embryo and fetal specimens were collected mostly between the 1960s and 1970s in Japan. Most of these embryos and fetuses were obtained when pregnancy was terminated during the first trimester, for socioeconomic reasons, under the Maternity Protection Law of Japan. Well-preserved human embryos and fetuses that were found to be externally normal, were subjected to histological serial sectioning or digital data acquisition. We recorded morphological and morphometric observations for anatomical analysis. Such 3-D digital data have the advantage of allowing precise reconstruction of each organ, so we may understand the 3-D development and the special relationships among multiple organs. In the present study, we aim to carry out our analysis based on multidisciplinary computational anatomy. Initially, we will analyze the development of the central nervous system and skeletal system during the human early-fetal period. Our aims are as follows: 1. Construction of a standardized image for assessing the morphology and position of the organ system of interest, and obtaining additional topological and functional information; 2. Modeling and simulation of the organ systems of interest, demonstrating the 3-D developmental growth and differentiation, by standardized value +/- deviation; and 3. Construction of samples where anomalies exist in the organ systems, for comparison. We aim to complete these analyses within two years.