grant
Core C - Computational and Quantitative Imaging Core
Organization UNIVERSITY OF TX MD ANDERSON CAN CTRLocation HOUSTON, UNITED STATESPosted 18 Aug 2025Deadline 31 Jul 2030
NIHUS FederalResearch GrantFY20253-D3-D modeling3-Dimensional3D3D modelingAlgorithmsAnatomic ModelsAnatomic SitesAnatomic structuresAnatomical ModelsAnatomyAsialiaBreathingCAT scanCT X RayCT XrayCT imagingCT scanCancer TreatmentClinicalClinical TreatmentCollaborationsComplexComputed TomographyDataDeglutitionDevelopmentDiagnosticDimensionsDoseEarly DiagnosisEvaluationEventFluoroscopyFrequenciesFunctional ImagingFutureHead and NeckHead and Neck CancerHead and Neck CarcinomaHead and neck structureHistopathologyHyposalivationImageInformation RetrievalInformation extractionInterventionIntratumoral heterogeneityLinkMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingMalignant Head and Neck NeoplasmMalignant Neoplasm TherapyMalignant Neoplasm TreatmentMeasurementMechanicsMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMetadataModelingMorphologyMouth DrynessMultimodal ImagingNMR ImagingNMR TomographyNormal TissueNormal tissue morphologyNuclear Magnetic Resonance ImagingOperative ProceduresOperative Surgical ProceduresOrganOsteoradionecrosisPathologyPatientsPhysiologicPhysiologic ImagingPhysiologicalPopulationProcessQOLQuality of lifeRadiation therapyRadiotherapeuticsRadiotherapyReportingResearchRespiratory AspirationRespiratory InspirationRiskSalivary hypofunctionSeveritiesSourceStructureSurgicalSurgical InterventionsSurgical ProcedureSwallowingSymptomsTechniquesTherapeuticTherapeutic InterventionTimeTomodensitometryToxic effectToxicitiesTrainingTumor TissueUpdateValidationVariantVariationWorkX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyXerostomiaXerostomicXray CAT scanXray Computed TomographyXray computerized tomographyZeugmatographyanti-cancer therapyaptyalismauto-segmentationautomated segmentationautomatic segmentationautosegmentationbiomechanic modelingbiomechanic simulationbiomechanical modelbiomechanical modelingbiomechanical simulationcancer therapycancer-directed therapycatscanclinical interventionclinical therapycomputed axial tomographycomputer based predictioncomputer tomographycomputerized axial tomographycomputerized tomographycurating datadata curationdeep learningdeep learning methoddeep learning strategydevelopmentaldry mouthearly detectionexperiencehead/neck cancerheterogeneity in tumorshuman modelimage guidanceimage guidedimage processingimage registrationimage-based methodimagingimaging biomarkerimaging markerimaging methodimaging modalityimaging-based biological markerimaging-based biomarkerimaging-based markerimprovedinjury to tissueinnovateinnovationinnovativeinspirationinterestintervention therapyintra-tumoral heterogeneityintratumor heterogeneitymachine learned algorithmmachine learning algorithmmachine learning based algorithmmalignant head and neck tumormechanicmechanicalmeta datamodel of humanmulti-modal datamulti-modal datasetsmulti-modal imagingmulti-modalitymulti-modality imagingmultidisciplinarymultimodal datamultimodal datasetsmultimodalitymultimodality imagingnon-contrast CTnoncontrast CTnoncontrast computed tomographynoveloptic imagingoptical imagingoral drynessoutcome predictionover-treatmentovertreatmentphysiological imagingpredictive modelingquantitative imagingradiation treatmentresponsesalivary gland hypofunctionside effectsoft tissuespatial and temporalspatial temporalspatiotemporalsurgerythree dimensionalthree-dimensional modelingtissue injurytooltreatment with radiationtrial regimentrial treatmenttumortumor heterogeneityvalidations
Description preview
ABSTRACT: Computational and Quantitative Imaging (Core C)
Advances in imaging have improved our understanding of tumor heterogeneity, normal tissue variability, and
early detection of tumor response and normal tissue toxicity. The rich information content of these advanced
imaging methods, combined with the growing capacity to collect multiple…
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