Anatomic 3D synthetic tissue printer
Anatomic 3D synthetic tissue printer
批准号:
8593040
负责人:
Steve Michael Savoy
金额:
$27.99万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-07-01 至 2015-06-30
关键词:
3D PrintAcrylatesAdipose tissueAlgorithmsAnatomic ModelsAnatomyAnimalsApplied ResearchAwarenessBiologicalBiomedical TechnologyCadaverCaregiversCollaborationsCommunicationComplexComputer softwareComputer-Aided DesignControlled EnvironmentCustomDataData SetDepositionDropsDrug FormulationsExposure toFamilyHumanImageImageryInkLiquid substanceMarketingMechanicsMedicalMedical ImagingMethacrylatesModelingModificationMolecularMuscleOperative Surgical ProceduresOrganPatientsPatternPhasePhysiciansPlant ResinsPolymersPrintingProcessProductionPropertyResearchScientistSiloxanesSimulateSkinSliceSpecimenStagingSystemTechnologyTestingTexasTissue ModelTissuesTrainingTranslationsTraumaUltraviolet RaysValidationWorkanalogaustinbasebonecostdigitalhuman tissueinnovationnovelphotocuringphotopolymerizationphysical propertypolydimethylsiloxaneprogramspublic health relevancesimulationtechnology developmenttool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The ability to "print" full-scale tissue analogues with realistic look, feel, and material properties directly from medical imaging data would have wide application in the MedSim market including planning and rehearsing patient-specific surgical cases, patient-caregiver communication, and enhanced visualization of radiological data. Further, 3D on-demand printing can reproduce simulations of specific patient cases that would not be available using cadavers. For utility in MedSim applications, 3D printed simulated tissue should consist of multiple substances with varying physical properties, including material analogues for bone, muscle, vessels, skin and adipose, and organ tissue. The proposed Rapid MedSim Anatomical Printer (R-MAP) uses 3D printed rapid prototyping technology to create spatially accurate 3D simulants of human tissue directly from medical imaging data. The R-MAP will enable production of high-fidelity anatomically accurate synthetic physical tissue models that
can be used for anatomy, trauma simulation, surgical training/planning, and patient awareness interaction purposes.
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