3D Stent Reconstruction in Bifurcating Lesions By Fusion of OCT and Micro-CT Data

通过融合 OCT 和 Micro-CT 数据进行分叉病变的 3D 支架重建

基本信息

  • 批准号:
    9381401
  • 负责人:
  • 金额:
    $ 7.55万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-07-01 至 2018-04-30
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Coronary bifurcation lesions are encountered in approximately 20% of the >1.25 million percutaneous coronary interventions (PCI) performed annually. Even in the drug-eluting stent era, the complexity of these lesions and technical challenges in their treatment result in long term major adverse cardiac event, target lesion revascularization, restenosis, and stent thrombosis rates that are far greater than in non-bifurcating lesions. Further complexities arise when treating unprotected left main coronary artery bifurcating lesions, as complications may be catastrophic. Optical coherence tomography (OCT) is commonly employed to guide interventional strategies following a provisional stenting (i.e., stenting of the main vessel) and, in particular, guide wire recrossing to correct for a jaild side branch. Despite the high in-plane resolution of OCT (10-20 µm), which is the only intravascular imaging modality that allows for visualization of stent struts, poor axial resolution (200 µm) prevents a complete visualization of the deployed stent and understanding of the spatial relationship with surrounding target bifurcation lesion to guide optimal interventional treatment strategies. To overcome the significant shortcoming of current techniques, we propose to develop an algorithm to visualize the complete 3D stent structure with respect to the target bifurcation lesion. Our approach will use advanced image processing and shape memory matching techniques to develop an algorithm to automatically reconstruct, at a high-resolution (~5 µm), the complete 3D deployed stent geometry by fusing OCT and micro- computed tomography (µCT) imaging data. (Aim 1). The algorithm will be validated in patient-specific coronary bifurcating lesion phantoms. To examine the utility and feasibility of the algorithm in the clinical environment, we will employ the developed reconstruction technique on clinical OCT data to assess the post-provisional stent geometry and surrounding target bifurcation lesion (Aim 2). Successful completion of the proposed research will allow for a complete and clear understanding of the deployed stent from only intravascular OCT imaging data to guide clinical treatment strategy. Furthermore, the proposed research will form the foundation for future investigations of truly patient-specific stent mechanical modeling towards development of lesion- specific stenting strategies.


项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Considerations for analysis of endothelial shear stress and strain in FSI models of atherosclerosis
  • DOI:
    10.1016/j.jbiomech.2021.110720
  • 发表时间:
    2021-09-02
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Patel, Miten;Savvopoulos, Fotios;Krams, Rob
  • 通讯作者:
    Krams, Rob
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Lucas H. Timmins其他文献

Quantification of the focal progression of coronary atherosclerosis through automated co-registration of virtual histology-intravascular ultrasound imaging data
  • DOI:
    10.1007/s10554-016-0969-y
  • 发表时间:
    2016-11-14
  • 期刊:
  • 影响因子:
    1.500
  • 作者:
    Lucas H. Timmins;David S. Molony;Parham Eshtehardi;Emad Rasoul-Arzrumly;Adrian Lam;Olivia Y. Hung;Michael C. McDaniel;John N. Oshinski;Don P. Giddens;Habib Samady
  • 通讯作者:
    Habib Samady

Lucas H. Timmins的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Lucas H. Timmins', 18)}}的其他基金

Biomechanical Indices for Coronary Lesion Rupture Risk and Lesion Prognostication
冠状动脉病变破裂风险和病变预测的生物力学指标
  • 批准号:
    10328495
  • 财政年份:
    2020
  • 资助金额:
    $ 7.55万
  • 项目类别:
3D Stent Reconstruction in Bifurcating Lesions By Fusion of OCT and Micro-CT Data
通过融合 OCT 和 Micro-CT 数据进行分叉病变的 3D 支架重建
  • 批准号:
    8893355
  • 财政年份:
    2015
  • 资助金额:
    $ 7.55万
  • 项目类别:

相似海外基金

DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    $ 7.55万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了