Open-access X-ray and CT simulation toolkit for research in cancer imaging and dosimetry
Open-access X-ray and CT simulation toolkit for research in cancer imaging and dosimetry
批准号:
9913492
负责人:
Bruno De Man
金额:
$49.09万
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:
2019-04-11 至 2022-03-31
关键词:
3-DimensionalAgeAlgorithmic SoftwareAlgorithmsBiological ModelsCancer DetectionClinicalCollaborationsCommunitiesComputed Tomography ScannersComputer softwareConceptionsContrast MediaDataDevelopmentDiagnosisDiagnostic radiologic examinationDigital Breast TomosynthesisDigital MammographyDimensionsDocumentationDoseEmerging TechnologiesEnvironmentFutureGenderGeometryHeightImageImaging DeviceImaging TechniquesImaging technologyInformaticsLinuxMalignant NeoplasmsMassachusettsMeasurementMedical ImagingMethodsModelingMonitorMorphologyNoiseOperating SystemOrganOutcomePatientsPerformancePhotonsPhysicsPhysiologyPlayPythonsRadiation Dose UnitRecording of previous eventsResearchResolutionRoentgen RaysRoleScanningSeminalShapesSignal TransductionSomatotypeSpiral Computed TomographyStagingSystemTechnologyTestingTimeTimeLineTumor AngiogenesisUniversitiesWeightWorkX-Ray Computed Tomographyattenuationbasecancer imagingcancer typeclinical imagingclinical translationdigitaldigital imagingdosimetryexperienceflexibilityimage reconstructionimaging modalityimaging systemimprovedmannew technologynovelopen sourcereconstructionresponsesimulationsimulation environmentsoftware developmenttooltreatment planningtumortwo-dimensionalweb sitewiki
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Medical imaging plays a crucial role in cancer detection, diagnosis, staging, treatment planning and therapy re-
sponse monitoring. We propose to develop and disseminate a realistic X-ray-based Cancer Imaging Simulation
Toolkit (XCIST). This toolkit could dramatically accelerate research related to cancer imaging and radiation
dose reduction. This proposal builds on prior software development by three experienced teams with a long his-
tory of collaboration. Drawing on each team's specific capabilities, we will create an integrated software toolkit
hosted in an open-source environment. The toolkit will include GE Global Research's X-ray and CT imaging
models and dose estimation models, Duke University's realistic digital representations of patients and tumors,
and the University of Massachusetts Lowell's state-of-the-art image reconstruction implementations.
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会议论文
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