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Patient specific 3D printed tissue engineered vascular graft for aortic reconstruction designed by artificial intelligence algorithm.

Patient specific 3D printed tissue engineered vascular graft for aortic reconstruction designed by artificial intelligence algorithm.
由人工智能算法设计的用于主动脉重建的患者特异性 3D 打印组织工程血管移植物。
批准号:
10024070
负责人:
Mark Fuge
金额:
$56.83万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-01 至 2022-03-31

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中文摘要
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英文摘要
1 The goal of this study is to create patient-specific, hemodynamically optimized, tissue engineered 2 vascular grafts (TEVG) for use in aortic arch repair surgery. These TEVGs are optimized for high pressure 3 circulation using 3D printing technology and artificial intelligence, and will grow with the patient, in hopes of 4 obviating need for future surgeries to replace grafts, which can occur with contemporary arch reconstruction 5 materials. Congenital heart disease (CHD) is the leading cause of death due to congenital anomalies. Despite 6 significant advances in surgical management for CHD, one significant source of morbidity and mortality arises 7 from the complexity of surgery for diverse anatomies in the aortic arch. Previous studies have demonstrated 8 that the resultant arch geometry after surgical reconstruction of stenotic or hypoplastic aortas is important to 9 minimize reduce energy loss and undesirable flow inside the arch, which can lead to hypertension, abnormal 10 vascular response and ventricular dysfunction. Ensuring a patient-specific graft design for ideal reconstructed 11 route before surgery with minimum energy loss and wall shear stress may yield long-term benefits for patient 12 health and quality of life. 13 We have demonstrated native vessel like neotissue formation of TEVG in small and large animal 14 studies. Based on these experiences, we have developed a novel 3D printing technology combining 3D printed 15 metal mandrels with nanofiber electro-spun technology. With this 3D printing technology, we showed that 16 TEVG developed native like neovessel formation in venous circulation in a sheep model. For this next step, we 17 aim to develop grafts in arterial circulation that can be applied to aortic reconstruction. We will also develop 18 automatic design algorithms to design optimal graft shape in order to reduce time and cost of patient specific 19 design. We hypothesize that patient-specific TEVG using our 3D printing technology can be designed, 20 aided by pre-operative imaging and flow data, computer assisted design (CAD), automatic design 21 algorithms based on computation fluid dynamics (CFD) results, and will demonstrate proper neotissue 22 formation and growth while maintaining optimally designed hemodynamics. 23 This project will be an important step towards clinical application of patient-specific vascular grafts that 24 recapitulate the native anatomy and mechanical properties. The results of this work will have a broader impact 25 on the design and fabrication of other more complex cardiovascular structures for implantation. This paradigm 26 shift in vascular graft technology will improve the quality and safety of pediatric patient care.
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Open Software Platform for Data-Driven Image-Guided Robotic Interventions
  • 批准号:
    10608711
  • 项目类别:
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
Patient specific 3D printed tissue engineered vascular graft for aortic reconstruction designed by artificial intelligence algorithm.
  • 批准号:
    10162386
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2018
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OpenIGTLink: a network communication interface for closed-loop image-guided interventions
  • 批准号:
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  • 项目类别:
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  • 财政年份:
    2015
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  • 财政年份:
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  • 负责人:
    Mark Fuge
  • 依托单位:
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