2007 Fiscal Year Final Research Report Summary
Computational Modeling of Organ Structures
| Project/Area Number |
15070207
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| Research Category |
Grant-in-Aid for Scientific Research on Priority Areas
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| Allocation Type | Single-year Grants |
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| Review Section |
Science and Engineering
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| Research Institution | Osaka University |
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Principal Investigator |
TAMURA Shinichi Osaka University, Graduate School of Medicine, Professor (30029540)
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| Co-Investigator(Kenkyū-buntansha) |
SATO Yoshinobu Osaka University, Graduate School of Medicine, Associate Professor (70243219)
NAKAMOTO Masahiko Osaka University, Graduate School of Medicine, Research Scientist (00380634)
CHEN Yen-Wei Ritsumeikan Univuersity, College of Information Science and Engineering, Professor (60236841)
YAMAZAKI Takaharu Osaka University, MEI Center, Lecturer (40432546)
JOHKO Takeshi Osaka University, Graduate School of Medicine, Professor (20263270)
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| Project Period (FY) |
2003 – 2006
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| Keywords | statistical atlas / computational anatomy / probabilistic atlas / statistical shape model / hierarchical atlas / organ internal structures / joint and bone / CT images |
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| Research Abstract |
Recently, the research field called "Computation Anatomy" has emerged, in which mathematical models of human anatomy including inter-subject variations are investigated. In this Priority Area, the mathematical model of human anatomy was named "Dentai Shinsho" and regarded as an essential representation to realize intelligent assistance in diagnosis. In this group, we focused on statistical atlases, which is a typical form of the mathematical models and constructed based on statistical analysis of population data. We studied the framework of the construction of statistical atlases and their applications. We have developed (1) methods for hierarchical organization of statistical atlas and their applications to to automated segmentation from 3D images and 3D shape recovery from 2D images, (2) methods for accurate reconstruction of organ internal structures such as extraction of branching tubular structures and territory decomposition based on them aiming at construction of hierarchical atlases, and (3) related research topics including basic tools and novel applications of statistical atlases.
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