2019 Fiscal Year Final Research Report
Construction of multi-dimensional statistical shape model for heart describing both cardiac deformation and inter-individual differences of cardiac shape
Project/Area Number |
19K21545
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Project/Area Number (Other) |
18H06480 (2018)
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Research Category |
Grant-in-Aid for Research Activity Start-up
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Allocation Type | Multi-year Fund (2019) Single-year Grants (2018) |
Review Section |
1002:Human informatics, applied informatics and related fields
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Research Institution | Kyushu University |
Principal Investigator |
Miyauchi Shoko 九州大学, システム情報科学研究院, 助教 (40828555)
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Project Period (FY) |
2018-08-24 – 2020-03-31
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Keywords | 多元心臓統計的形状モデル / 心臓MRI / 3次元メッシュモデル |
Outline of Final Research Achievements |
Statistical Shape Model (SSM) of a target organ quantitatively describes individual differences of the organ shapes using their average and variance. By deforming the SSM to fit an organ shape of a patient, the organ shape enables to be represented by a small number of parameters. Although conventional SSM constructions have focused on only motionless organs such as bones, there are few SSMs for a heart that describe the deformation of the heart. Therefore, we constructed a multi-dimensional SSM for the heart that considers not only shape differences among individuals but also sequential deformation within the cardiac cycle.
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Free Research Field |
医用画像情報処理
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Academic Significance and Societal Importance of the Research Achievements |
構築した多元心臓SSMを各患者の臓器形状に合わせて変形することで,患者固有の心臓形状を,少数のパラメータで定量的に表現できる.得られたパラメータを用いることで,患者の臓器形状に適した治療・診断システムの構築が可能となり,心疾患に対する治療・診断精度を飛躍的に向上できる可能性がある.
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