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DESCRIPTION (provided by applicant): Computational studies, both biomechanical and electrophysiological, based on structural models of the myocardium have provided valuable insight into the functions of both normal and diseased hearts beyond empirical experimentation. However, to date, few computational models of the heart are available, and most existing models are methodologically hampered by the labor-intensive and destructive nature of conventional histological techniques. More importantly, since previous models were constructed from limited numbers of specimens, the degree to which they represent the "typical" heart, even of the same species, gender, age and contractile state, is unclear. These challenges are exacerbated for structural models of the mouse heart because of its small physical size, despite that the species is often preferred for investigating the pathophysiology and treatment of human diseases. The current proposal seeks to address these critical needs by developing and combining advanced high-resolution MRI acquisition methods and imaged-based population "atlas" analysis techniques. The overall hypothesis is that structural models representative of the normal mouse myocardium across gender, strain, age, and cardiac cycle can be constructed from a finite number of diffusion MRI datasets. Specific aims include (1a) develop multi-dimensional constrained reconstruction of reduced k- space sampling data and optimize diffusion-encoding schemes to accelerate diffusion imaging scan time, (1b) enhance the utility of diffusion MRI for characterizing myocardial structures, (2a) construct and validate static structural atlases of the normal mouse myocardium, (2b) apply diffeomorphic mapping to investigate the gender and genotype-dependence of mouse heart structural atlases, (2c) combine group regression analysis and diffeomorphic mapping to investigate the maturational adaptive modulation of the normal mouse heart, and (3) generate validated dynamic structural models of the beating normal mouse myocardium by applying Hyperelastic Warping analysis to static structural models. PUBLIC HEALTH RELEVANCE: The overall aim of this proposal is to construct structural atlases of the normal mouse heart that are representative of the species regardless of gender, strain, age, and cardiac contractile state. Results of this research will provide essential foundations for computational studies of the anatomy, electrophysiology and biomechanics of both normal and diseased hearts.
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会议论文
Prognostic Perfusion Imaging for Nerve Injury
  • 批准号:
    10057205
  • 项目类别:
  • 资助金额:
    $41.94万
  • 财政年份:
    2020
  • 负责人:
    EDWARD W HSU
  • 依托单位:
Biomechanical Indices for Coronary Lesion Rupture Risk and Lesion Prognostication
  • 批准号:
    10544092
  • 项目类别:
  • 资助金额:
    $28.2万
  • 财政年份:
    2020
  • 负责人:
    EDWARD W HSU
  • 依托单位:
Atlas-Based Structural Models of the Mouse Myocardium
  • 批准号:
    7808082
  • 项目类别:
  • 资助金额:
    $37.63万
  • 财政年份:
    2009
  • 负责人:
    EDWARD W HSU
  • 依托单位:
Atlas-Based Structural Models of the Mouse Myocardium
  • 批准号:
    7663576
  • 项目类别:
  • 资助金额:
    $37.63万
  • 财政年份:
    2009
  • 负责人:
    EDWARD W HSU
  • 依托单位:
国内基金
海外基金
补阳还五汤通过AGE-RAGE通路调控脓毒症免疫失衡的机制与转化研究
靶向递送一氧化碳调控AGE-RAGE级联反应促进糖尿病创面愈合研究
  • 批准号:
    JCZRQN202500010
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
  • 依托单位:
对香豆酸抑制AGE-RAGE-Ang-1通路改善海马血管生成障碍发挥抗阿尔兹海默病作用
  • 批准号:
    2025JJ70209
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    雷芬芳
  • 依托单位:
AGE-RAGE通路调控慢性胰腺炎纤维化进程的作用及分子机制
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    万荣
  • 依托单位: