Task-Driven 3D Interventional Imaging
Task-Driven 3D Interventional Imaging
批准号:
9899984
负责人:
JOSEPH Webster STAYMAN
金额:
$40.54万
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:
2019-07-01 至 2023-03-31
关键词:
3-DimensionalAnatomyArteriesAutomationBedsCervical spineCharacteristicsClinicalClinical ResearchComputer softwareCouplingCustomDataDependenceDevicesDiagnosticDiagnostic ImagingDoseEvaluationEvaluation StudiesFloorFoundationsFreedomFutureGeometryImageImaging DeviceImplantInterventionKnowledgeLocationLow Dose RadiationMathematicsMeasurementMethodologyMethodsModelingMotionMovementNoiseOcular orbitPatientsPelvisPerformancePilot ProjectsPositioning AttributeProceduresProstateProstaticRadiation Dose UnitRoboticsRodRoentgen RaysShoulderSiteSourceSpeedSystemTask PerformancesTechniquesTestingTherapeutic EmbolizationTissuesarmbasebonecone-beam computed tomographydata acquisitiondetectorexperienceexperimental studyflexibilityimage guidedimage guided interventionimage reconstructionimaging approachimaging propertiesimaging systeminterestmathematical modelminimally invasivenovelpredictive modelingpreferenceprospectivereconstructionsafety and feasibilitysample fixationtargeted imagingtreatment planningtrendvirtual
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY / ABSTRACT
While intraoperative C-arm cone-beam CT (CBCT) is used in a growing spectrum of minimally invasive image-
guided procedures, imaging performance lags behind conventional diagnostic CT – often due to challenges
particular to the interventional imaging suite. However, interventional imaging also has a number of distinct ad-
vantages with prior studies and planning data providing information about patient anatomy, imaging targets, and
potential imaging tasks. Coupling this with the increased flexibility of interventional systems to automatically
position the source and detector in arbitrary geometries opens a unique opportunity to do something diagnostic
CT cannot do. Specifically, one can use all of the patient-, task-, and procedure-specific information to drive
these intervention systems in customized orbits wherein the imaging device, with the help of a mathematical
model of imaging performance prediction, can prospectively drive a source-detector trajectory to acquire the
most information rich views. Such a “smart” imaging system could automatically maximize imaging performance
with better image quality, lower radiation doses, etc. without relying on the experience or expertise of a CT
technician. We propose a framework that integrates prior anatomical knowledge and treatment plans, the
capability for non-circular orbits, and a definition of the imaging task to drive custom task- and patient-
specific source-detector trajectories for 3D interventional imaging. We seek to achieve this task-driven
interventional imaging through the following specific aims: Aim 1: Develop foundations for task-driven inter-
ventional imaging including a quantitative framework for task-based performance prediction, an optimizer that
maximizes regional performance for user-defined tasks. Aim 2: Develop clinical systems for task-driven in-
terventional imaging including methods to command two state-of-the-art clinical C-arms – a floor-mounted
robotic C-arm and a mobile C-arm, Cios Spin – in optimized task-driven trajectories. Aim 3: Conduct clinical
pilot studies for an initial evaluation of task-driven imaging in patients. A pilot study is planned for two
clinical target applications: prostatic artery embolization and cervical spine fusion which are traditionally chal-
lenged by difficult anatomy and interventional hardware that can severely degrade measurements in specific
views. Safety and feasibility of the proposed task-driven imaging approach will be established and preliminary
data on relative performance and observer preference test will be conducted to inform future clinical studies.
Successful completion of these aims begins opens a new paradigm for task-driven interventional imaging that
rigorously leverages patient-specific prior information to acquire and reconstruct data that is optimal for specific
interventional imaging tasks.
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Task-Driven 3D Interventional Imaging
-
批准号:10382316
-
项目类别:
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资助金额:$50.2万
-
财政年份:2019
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负责人:JOSEPH Webster STAYMAN
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依托单位:
Spectral-spatial filtering for efficient multi-material decomposition in x-ray CT
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批准号:9751293
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项目类别:
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资助金额:$20.47万
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财政年份:2018
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负责人:JOSEPH Webster STAYMAN
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依托单位:
Monitoring of fractures with internal fixators using weight-bearing quantitative cone beam CT
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批准号:9902426
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项目类别:
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资助金额:$36.84万
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财政年份:2018
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负责人:JOSEPH Webster STAYMAN
-
依托单位:
Monitoring of fractures with internal fixators using weight-bearing quantitative cone beam CT
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批准号:9603931
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项目类别:
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资助金额:$36.84万
-
财政年份:2018
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负责人:JOSEPH Webster STAYMAN
-
依托单位:
Task-driven dynamic beam modulation for high-performance,low-dose CT.
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批准号:8926430
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项目类别:
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资助金额:$62.05万
-
财政年份:2014
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负责人:JOSEPH Webster STAYMAN
-
依托单位:
Task-driven dynamic beam modulation for high-performance,low-dose CT.
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批准号:8733325
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项目类别:
-
资助金额:$82.55万
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财政年份:2014
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负责人:JOSEPH Webster STAYMAN
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依托单位:
Incorporating Prior Knowledge of Surgical Devices in CBCT-Guided Interventions
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批准号:8588925
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项目类别:
-
资助金额:$19.64万
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财政年份:2013
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负责人:JOSEPH Webster STAYMAN
-
依托单位:
Incorporating Prior Knowledge of Surgical Devices in CBCT-Guided Interventions
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批准号:8445513
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项目类别:
-
资助金额:$24.3万
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财政年份:2013
-
负责人:JOSEPH Webster STAYMAN
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依托单位:
An Integrated CT-based Image-Guided Neurosurgical System
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批准号:6886410
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项目类别:
-
资助金额:$14.39万
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财政年份:2005
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负责人:JOSEPH Webster STAYMAN
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依托单位:
Interactive intraoperative imaging with cone beam CT
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批准号:7228457
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项目类别:
-
资助金额:$22.47万
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财政年份:2004
-
负责人:JOSEPH Webster STAYMAN
-
依托单位:
Interactive intraoperative imaging with cone beam CT
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批准号:6784358
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项目类别:
-
资助金额:$9.29万
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财政年份:2004
-
负责人:JOSEPH Webster STAYMAN
-
依托单位:
Interactive intraoperative imaging with cone beam CT
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批准号:6949191
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项目类别:
-
资助金额:$76.66万
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财政年份:2004
-
负责人:JOSEPH Webster STAYMAN
-
依托单位:
Interactive intraoperative imaging with cone beam CT
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批准号:7052118
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项目类别:
-
资助金额:$68.26万
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财政年份:2004
-
负责人:JOSEPH Webster STAYMAN
-
依托单位:
Interactive intraoperative imaging with cone beam CT
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批准号:6942493
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项目类别:
-
资助金额:$44.95万
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财政年份:2004
-
负责人:JOSEPH Webster STAYMAN
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依托单位:
海外基金