Inverse Geometry CT for Dose-efficient Volumetric Imaging
Inverse Geometry CT for Dose-efficient Volumetric Imaging
批准号:
7675359
负责人:
NORBERT J. PELC
金额:
$47.23万
依托单位:
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:
2006-09-15 至 2012-08-31
关键词:
AlgorithmsAnimalsArtsBasic ScienceBudgetsBusinessesCalibrationCardiovascular systemCharacteristicsClinicalCollaborationsCost SharingDevelopmentDiagnosticDoseEvaluationFamily suidaeFundingGoalsHealthcareHumanImageIndustryInstitutionInvestigationInvestmentsKnowledgeLeadLow Dose RadiationMagnetic Resonance ImagingManufacturer NameMeasurementMeasuresMedicineModelingMorphologic artifactsPatientsPerformancePhysiciansPilot ProjectsPublic SectorRadiationRelative (related person)ResearchResearch PersonnelResolutionResource SharingResourcesRetinal ConeRiskRotationSafetyScanningSliceSourceSpeedSystemTechnologyTimeTissuesTomography, Computed, ScannersUncertaintyUnited States National Institutes of HealthUniversitiesVendorWorkX-Ray Computed Tomographybaseclinical applicationdata acquisitiondesigndesign and constructiondetectorexperiencehuman subjectimaging modalityimprovedin vivoinnovationmannovelnovel strategiesoncologypressureprogramsprototypereconstructionresearch studysimulationsuccesstechnological innovation
中文摘要
描述(申请人提供):计算机断层扫描(CT)自引入以来对医学产生了巨大的影响,许多医生认为CT(与MRI一起)是最近医学上最重要的技术创新。进一步的技术改进将带来重要的临床好处,但当前CT系统中使用的系统设计,即使是最先进的临床扫描仪,也无法实现所需的功能组合。我们最近提出了一种完全不同的CT系统设计,逆几何CT(IGCT),它承诺在一次快速扫描中提供广泛的体积覆盖,没有“锥束”伪影,高空间和时间分辨率,提高剂量效率,并减少对患者的辐射剂量。我们的初步结果提供了强有力的证据,证明这些目标是可以实现的。本提案的目标是进行导致并包括设计和构建能够进行动物和人类扫描的全尺寸IGCT系统的研究,对其性能进行量化,并进行体内试验。这项研究涉及斯坦福大学和通用电气全球研究(GEGR)中心之间的合作,建立在斯坦福大学开展的IGCT的开创性工作和GGR团队的重要进步和独特能力的基础上。这些小组将合作优化系统设计,完善校准和重建算法,并进行详细的评估。由PI领导的斯坦福大学小组将负责定义临床要求并进行动物和人体研究。由Bruno de Man领导的Gegr小组将负责详细的系统设计和建设。虽然这项研究的意义和潜在影响非常大,但其范围和风险排除了它仅由行业执行的可能性,需要公共支持。与此同时,斯坦福大学和GEGR的现有资金和正在进行的研究,以及GE Healthcare承诺为基于门架的系统的建设提供100万美元的资金,放大了所要求的预算的影响。我们相信,CT系统能够在短扫描时间内覆盖更广的体积,需要比现有系统更低的辐射剂量,并提供不打折扣的图像质量和时间分辨率,这将使重要的研究和临床应用成为可能。目前使用的CT技术不能胜任这项任务,需要一种新的方法。我们相信,我们的初步研究表明,我们的IGCT方法将能够开启CT扫描的这个新纪元。
英文摘要
DESCRIPTION (provided by applicant): Computed Tomography (CT) has had an enormous impact on medicine since its introduction, and many physicians consider CT (along with MRI) to be the most important recent technological innovation in medicine. Further technical improvements would have important clinical benefit, but the system design in use in current CT systems, even the most advanced clinical scanners, is not able to achieve the combination of capabilities that is needed. We recently proposed a radically different CT system design, Inverse Geometry CT (IGCT) that promises to deliver wide volumetric coverage in a single rapid scan with no "cone-beam" artifacts, high spatial and temporal resolution, improved dose efficiency, and reduced radiation dose to the patient. Our preliminary results provide strong evidence that these goals can be achieved The goal of this proposal is to perform research leading to and including designing and constructing a fullscale prototype IGCT system capable of animal and human scanning, to quantitate its performance, and to perform pilot in-vivo studies. The research involves a collaboration between Stanford University and GE's Global Research (GEGR) Center, building on the pioneering work on IGCT performed at Stanford and the important advances and unique capabilities of the team at GEGR. The groups will collaboratively optimize the system design, perfect calibration and reconstruction algorithms, and perform detailed evaluations. The Stanford group, led by the PI, will be responsible for defining the clinical requirements and performing the animal and human studies. The GEGR group, led by Bruno De Man, will be responsible for detailed system design and construction. While the significance and potential impact of this research are very large, the scope and risk preclude it from being performed by industry alone and public support is required. At the same time, the impact of the requested budget is amplified by existing funding and ongoing research at both Stanford and GEGR, and by a commitment of 1$M from GE Healthcare to fund construction of the gantry based system. We believe that important research and clinical application would be possible with CT systems capable of much wider volumetric coverage in short scan times, requiring lower radiation dose than present systems, and delivering uncompromised image quality and temporal resolution. CT technology currently in use is not up to this task, and that a new approach is needed. We believe, and our preliminary studies show, that our IGCT approach will be able to open this new era in CT scanning.
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