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The development of atherosclerotic coronary artery disease is complex. Recent work indicates that plaque progression and risk of clinical events are influenced by plaque morphology and composition, local hemodynamic stresses, 3-D arterial motion, inflammation, and local vascular signaling. In Phase I of this proposal, we developed a method for 3-D and 4-D assessment of coronary artery morphology and hemodynamics by fusion of angiographic and intravascular ultrasound images. In Phase II, we will develop a method for predicting atherosclerosis progression. This predictive model, incorporating our now mature methodology with other factors, will be developed and subsequently validated in longitudinal studies of subjects with coronary atherosclerotic disease. Our main hypothesis is that serial in-vivo studies of patients with coronary artery disease can provide insights into the temporal effects of vessel morphology, plaque composition, hemodynamics, and systemic inflammatory and other vascular biomarkers on local atherosclerosis progression, thus allowing the prediction of changes in the burden, location and extent of atherosclerosis. Therefore, we propose to: Aim 1: Further improve the previously developed image analysis methodology for angiography-IVUS fusion to increase efficiency, reproducibility, and 3-D/4-D consistency of the geometric representations of coronary arteries in vivo. Aim 2: Develop a method for in vivo 3-D and 4-D assessment of complex plaque composition in registration with geometrically correct coronary anatomy and plaque morphology with the ability to incorporate functional and physiologic measures within the vasculature. Aim 3: Develop a method for predicting temporal changes in atherosclerotic plaque in vivo from multifactorial computational assessment of 3-D and 4-D coronary geometry, hemodynamics, plaque morphology and composition, with the concomitant determination of systemic atherosclerosis-related biomarkers. Aim 4: Validate the plaque progression prediction method in a serial study of 50 patients with established atherosclerosis. Our work will uncover the relative contribution of initial local plaque properties and composition, the vascular and systemic inflammatory milieu and hemodynamic conditions to intermediate-term atherosclerotic disease progression or regression. Once successfully developed, our work will uncover the interplay of these complex and disparate promoters of atherosclerosis. It will have implications on the clinical management of patients with preclinical atherosclerotic disease as well as those patients undergoing coronary revascularization and treatment of acute coronary syndromes.
期刊论文(16)
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科研奖励(0)
会议论文
Interactive virtual endoscopy in coronary arteries based on multimodality fusion.
基于多模态融合的冠状动脉交互式虚拟内窥镜检查。
DOI: 10.1109/tmi.2004.837109
发表时间: 2004
期刊: IEEE transactions on medical imaging
影响因子: 10.6
作者: [Wahle,Andreas, Olszewski,MarkE, Sonka,Milan]
通讯作者: Sonka,Milan
Comparison of left anterior descending coronary artery hemodynamics before and after angioplasty.
冠状动脉左前降支血管成形术前后血流动力学比较。
DOI: 10.1115/1.2132371
发表时间: 2006
期刊: Journal of biomechanical engineering
影响因子: --
作者: [Ramaswamy,SD, Vigmostad,SC, Wahle,A, Lai,YG, Olszewski,ME, Braddy,KC, Brennan,TMH, Rossen,JD, Sonka,M, Chandran,KB]
通讯作者: Chandran,KB
Prediction of coronary vessel involvement on the basis of atherosclerosis risk factor analysis.
基于动脉粥样硬化危险因素分析预测冠状血管受累。
DOI: 10.4149/bll_2013_088
发表时间: 2013
期刊: Bratislavske lekarske listy
影响因子: --
作者: [Kovarnik,T, Kral,A, Skalicka,H, Skalicka,L, Dostal,O, Kralik,L, Martasek,P, Aschermann,M, Horak,J, Linhart,A, Wahle,A, Sonka,M]
通讯作者: Sonka,M
Effects of vessel geometry and catheter position on dose delivery in intracoronary brachytherapy.
血管几何形状和导管位置对冠状动脉近距离放射治疗中剂量输送的影响。
DOI: 10.1109/tbme.2003.818474
发表时间: 2003
期刊: IEEE transactions on bio-medical engineering
影响因子: --
作者: [Wahle,Andreas, Lopez,JohnJ, Pennington,EdwardC, Meeks,SanfordL, Braddy,KathleenC, Fox,JamesM, Brennan,TheresaMH, Buatti,JohnM, Rossen,JamesD, Sonka,Milan]
通讯作者: Sonka,Milan
8
    Graph-Based Medical Image Segmentation in 3D and 4D
    • 批准号:
      8309340
    • 项目类别:
    • 资助金额:
      $37.04万
    • 财政年份:
      2006
    • 负责人:
      MILAN SONKA
    • 依托单位:
    Graph-Based Medical Image Segmentation in 3D and 4D
    • 批准号:
      8759436
    • 项目类别:
    • 资助金额:
      $39.57万
    • 财政年份:
      2006
    • 负责人:
      MILAN SONKA
    • 依托单位:
    Graph-Based Medical Image Segmentation in 3D and 4D
    • 批准号:
      7207994
    • 项目类别:
    • 资助金额:
      $33.71万
    • 财政年份:
      2006
    • 负责人:
      MILAN SONKA
    • 依托单位:
    Graph-Based Medical Image Segmentation in 3D and 4D
    • 批准号:
      9110984
    • 项目类别:
    • 资助金额:
      $41.29万
    • 财政年份:
      2006
    • 负责人:
      MILAN SONKA
    • 依托单位:
    海外基金