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: 9381401
• 负责人: Lucas H. Timmins
• 金额: $ 7.55万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 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
• 来源: https://reporter.nih.gov/project-details/9381401
• 关键词: Adverse event; Algorithms; Anatomy; Arteries; Attention; Award; Blood Vessels; Blood flow; Cardiac; Cardiology; Catheterization; Clinical; Clinical Treatment; Computer Simulation; Computer software; Coronary; Coronary Arteriosclerosis; Coronary artery; Coupled; Data; Defect; Development; Economic Burden; Environment; Evaluation; Event; Failure; Foundations; Future; Geometry; Gold; Health; Hyperplasia; Image; Imagery; Implant; Intervention; Investigation; Jail; Laboratories; Left; Lesion; Marketing; Mechanics; Medical Device; Memory; Modeling; Myocardial Infarction; Optical Coherence Tomography; Patients; Pattern; Pharmaceutical Preparations; Process; Research; Resolution; Shapes; Side; Stents; Stress; Structure; Techniques; Technology; Time; X-Ray Computed Tomography; adverse outcome; base; image processing; imaging modality; implantation; improved; in vivo; microCT; mortality; novel; percutaneous coronary intervention; prevent; reconstruction; research clinical testing; restenosis; spatial relationship; stent thrombosis; success; tool; treatment strategy

 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

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: JOURNAL OF BIOMECHANICS
• 影响因子: 2.4
• 作者: Patel, Miten;Savvopoulos, Fotios;Krams, Rob
• 通讯作者: Krams, Rob