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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

Research Project

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Project/Area Number 19K21545
Project/Area Number (Other) 18H06480 (2018)
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund (2019)
Single-year Grants (2018)
Review Section 1002:Human informatics, applied informatics and related fields
Research InstitutionKyushu University

Principal Investigator

Miyauchi Shoko  九州大学, システム情報科学研究院, 助教 (40828555)

Project Period (FY) 2018-08-24 – 2020-03-31
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.

Free Research Field

医用画像情報処理

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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Published: 2021-02-19  

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