Integrated Tomosynthetic Perfusion and Cone-beam CT Imaging on a C-arm Gantry
Integrated Tomosynthetic Perfusion and Cone-beam CT Imaging on a C-arm Gantry
批准号:
7405375
负责人:
Guang-Hong Chen
金额:
$38.07万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-05-01 至 2010-02-28
关键词:
AccountingAcuteAlgorithmsAlteplaseAnatomyAngiographyAnimal ExperimentsAnimalsBackBasic ScienceBlood VesselsBrainCalibrationCathetersClinicalClinical TreatmentCoagulation ProcessCountCoupledCytolysisDataData SetDiffusionElectronicsEmbolismEmergency SituationEvaluationFibrinolytic AgentsGoalsGoldHemorrhageHospitalsHourImageImaging TechniquesInjuryInterventionInvasiveIschemic StrokeKnowledgeMagnetic Resonance AngiographyMagnetic Resonance ImagingMeasurementMethodsModalityMorbidity - disease rateMorphologic artifactsMotionNoiseOperating RoomsOutcomePatient TransferPatientsPerfusionPharmaceutical PreparationsPhasePhysiciansPhysiologicalPlayProceduresProtocols documentationRateRecruitment ActivityResearchResearch PersonnelResidual stateResolutionRetinal ConeRiskRoentgen RaysRoleScanningSchemeScreening procedureSiteSliceSourceStagingStandards of Weights and MeasuresStrokeStructureSymptomsSystemThrombosisTimeUnited StatesUnited States Food and Drug AdministrationUpper armX-Ray Computed Tomographyacute strokebasebrain tissueconceptcone-beam computed tomographydata acquisitionimage guided interventionimage reconstructionimprovedmiddle cerebral arterynovelthrombolysis
中文摘要
影像引导介入的目的是提高微创手术的疗效。
通过向医生提供基于图像的解剖和生理信息来降低发病率
实时的。在典型的介入套件中,X射线投影图像提供图像指导。同时
生理信息是通过CT/MRI套件中的血流灌注测量获得的。然而,没有一个
目前的灌注成像方法可以直接在介入治疗室中进行。在这个项目中,我们
计划研究一种在C形臂机架上实施的新型断层合成灌注成像系统
从对比动态中提取生理信息。同时提供图像制导
基于G臂的锥束CT采用一种新的扫描结构,具有卓越的低对比度检测能力
以及新颖的锥束图像重建算法。具体目标是:(1)落实和整合
C形臂门架上断层合成成像和锥束CT成像的数据采集方案,(2)
校准断层合成和锥束CT扫描几何,(3)开发新的图像重建
CT灌注成像和锥束CT成像的算法,(4)生成新的图像
CT灌注成像和锥束CT成像的校正方法,以及(5)验证
断层合成灌注成像和锥束CT成像方式使用物理模型和
小动物。该项目的成功完成将导致对传统C形臂的升级
该系统是一种尖端的影像引导介入平台。该平台将生成“1+1&>2”
协同效应:可获得解剖结构和生理血流灌注信息
使用相同的成像平台,无需将患者从一个手术室转移到另一个成像设备
房间。新平台可在干预前、干预期间和干预后用于规划、指导和评估
介入手术。新的干预平台不仅将使那些在研究中心的人受益,而且
还将使没有先进成像的医院能够进行图像引导的介入性中风治疗
设施。
英文摘要
The objective of image-guided intervention is to improve the efficacy of minimally invasive proceduresand
reduce morbidity by providing the physician with image-based anatomical and physiological information in
real time. In a typical interventional suite, X-ray projection images provide the image guidance. Meanwhile
physiological information is obtained by perfusion measurements in a CT/MRI suite. However, none of the
current perfusion imaging methods can be performed directly in the interventional suite. In this project,we
plan to investigate a novel tomosynthetic perfusion imaging system implemented on a C-arm gantry to
extract physiological information from the contrast dynamics. Meanwhile the image guidance will be provided
by G-arm based cone-beam CT featuring superior low-contrast detectability using a novel scan geometry
and novel cone-beam image reconstruction algorithms. The specific aims are: (1) to implement andintegrate
data acquisition schemes for tomosynthetic imaging and cone-beam CT imaging on a C-arm gantry, (2) to
calibrate the tomosynthetic and cone-beam CT scan geometries, (3) to develop novel imagereconstruction
algorithms for tomosynthetic perfusion imaging and cone-beam CT imaging, (4) to develop novel image
correction methods for tomosynthetic perfusion imaging and cone-beam CT imaging, and (5) to validate
tomosynthetic perfusion imaging and cone-beam CT imaging modalities using both physical phantoms and
small animals. The successful completion of this project will result in an upgrade of a conventional C-arm
system to a cutting-edge image-guided interventional platform. This platform will generate "1+1 >2"
synergistic effects:both anatomical structures and physiological perfusion information will be obtainable
using the same imaging platform without transfering patients from an operating room to another imaging
room. The new platform may be used pre-, during, and post-intervention to plan, guide, and evaluate the
interventional procedures. The new interventional platform will not only benefit those at researchcenters,but
also will enable image-guided interventional stroke treatmentsfor hospitals without advanced imaging
facilities.
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会议论文
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