SCH: INT: A Virtual Surgery Simulator to Accelerate Medical Training in Cardiovascular Disease
SCH: INT: A Virtual Surgery Simulator to Accelerate Medical Training in Cardiovascular Disease
批准号:
10259714
负责人:
Alison L Marsden
金额:
$25.8万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-30 至 2023-06-30
关键词:
3-DimensionalAnatomic ModelsAnatomyBackBiomechanicsBlood flowCardiacCardiologyCardiovascular DiseasesCardiovascular systemCase StudyClinicalClinical ResearchCollaborationsComputational ScienceComputer GraphicsCustomEducationEducational AssessmentEducational CurriculumEngineeringEnsureFeedbackGeometryGoalsHandHigh Performance ComputingImmersionIntuitionKnowledge acquisitionLearningLiquid substanceManualsMeasuresMedicalMedical StudentsMedicineMethodologyMethodsModelingMonitorOperating RoomsOperative Surgical ProceduresPathologyPatient-Focused OutcomesPatientsPhysiciansPhysicsPhysiologicalPhysiologyPilot ProjectsPostoperative PeriodQuick Test for Liver FunctionResearchRunningScienceStudentsSurgeonTechniquesTechnologyTimeTrainingTranslatingUniversitiesVisualizationWorkbasecluster computingcohortdesigneducational atmosphereexperienceexperimental studyfollow-uphands-on learningindividual patientinnovationinsightinstructormedical schoolsmodels and simulationmultidisciplinarynovelopen sourcepedagogyrepositorysimulationsuccesstoolvirtual environmentvirtual realityvirtual reality environmentvirtual reality simulationvirtual surgery
中文摘要
点击翻译按钮获取中文摘要
英文摘要
We propose to devise and deploy an integrated virtual surgery simulator to transform training and surgical
planning in cardiovascular medicine. By advancing science in graphics, visualization and real-time
simulations, and interfacing with virtual reality (VR) technology, we will offer clinical trainees
unprecedented depth of insight into cardiac physiology and pathology, accelerating knowledge acquisition
and intuition-building that takes years with standard approaches. Equipped with immersive patient-specific
visualizations, physicians will 'preview' the effects of surgical techniques on blood flow and physiology,
quickly testing many "what-if" scenarios over a large design space. While surgeons currently teach
trainees time-honored techniques in a steep and high-stakes learning curve, novel and intuitive VR
environments will enable rapid, lower-stakes exploration. Despite advances in cardiovascular
patient-specific modeling and simulation, current virtual surgery capabilities are limited to cumbersome
by-hand model manipulations and blood flow simulations run on high-performance computing clusters for
days at a time. These complexities preclude hands-on use by clinicians and often limit models to a small
cohort of anatomic designs. There is, therefore, a pressing need for scientific and technological advances
to enable seamless manipulation of anatomic geometry and simulations that can provide real-time
feedback. To drive this technology, we aim to overcome critical methodological barriers through the
following aims: 1) Develop computer-graphics tools for efficient model manipulation, 2) Integrate
reduced-order modeling with visualization to create a real-time interactive experience, and 3) Develop and
deploy an interactive VR educational environment for medical students and clinical trainees, complete
with case studies and interactive experiences. To quantify impact, we will design and carry out
educational assessments measuring the ability of our technology to accelerate learning among medical
trainees. To ensure success, we have assembled an expert interdisciplinary team spanning
cardiovascular biomechanics, computer graphics, technology in education, and clinical cardiology.
Ultimately, the proposed tools will also drive clinical innovation. Since many cardiovascular surgical
approaches have changed little in decades, a longer-term goal is to launch clinical studies demonstrating
impact on patient outcomes, allowing surgical planning and customization for individual patients.
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依托单位:
Automated data curation to ensure model credibility in the Vascular Model Repository
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批准号:10016840
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资助金额:$33.05万
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依托单位:
Enabling reliable cardiovascular simulations via uncertainty quantification
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批准号:9030537
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项目类别:
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资助金额:$38.84万
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财政年份:2016
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负责人:Alison L Marsden
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依托单位:
Enabling reliable cardiovascular simulations via uncertainty quantification
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批准号:9751081
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项目类别:
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资助金额:$38.84万
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财政年份:2016
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负责人:Alison L Marsden
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依托单位:
Enabling reliable cardiovascular simulations via uncertainty quantification
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批准号:9348646
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项目类别:
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资助金额:$38.84万
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财政年份:2016
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负责人:Alison L Marsden
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依托单位:
Multiscale modeling for vein graft failure risk stratification in CABG patients
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批准号:9331731
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项目类别:
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资助金额:$37.47万
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财政年份:2014
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负责人:Alison L Marsden
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依托单位:
Multiscale modeling for vein graft failure risk stratification in CABG patients
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批准号:9126335
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项目类别:
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资助金额:$37.25万
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财政年份:2014
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负责人:Alison L Marsden
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依托单位:
Patient-specific simulations for thrombotic risk assessment in Kawasaki disease
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批准号:8063023
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项目类别:
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资助金额:$18.27万
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财政年份:2010
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负责人:Alison L Marsden
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依托单位:
Patient-specific simulations for thrombotic risk assessment in Kawasaki disease
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批准号:7876583
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项目类别:
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资助金额:$22.2万
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财政年份:2010
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负责人:Alison L Marsden
-
依托单位: