grant

Clinical Translation of a One-Stop-Shop Imaging Method for Abdominal CT

Organization UNIVERSITY OF WISCONSIN-MADISONLocation MADISON, UNITED STATESPosted 1 Sept 2022Deadline 31 May 2027
NIHUS FederalResearch GrantFY2025AbdomenAcademic Medical CentersAccuracy of DiagnosisAddressAdrenal GlandsAdrenalsAnatomic SitesAnatomic structuresAnatomyAttenuatedCAT scanCT X RayCT XrayCT imagingCT scanCell Communication and SignalingCell SignalingClinicalCommunity HospitalsCompton radiationCompton scatteringComputed TomographyComputed Tomography ScannersConventional X-RayDataData SetDeveloping CountriesDeveloping NationsDevelopmentDiagnosisDiagnosticDoseElementsEnvironmentEvaluationFutureGeneral RadiologyHealth Care CostsHealth CostsHospitalsImageImaging ProceduresImaging TechnicsImaging TechniquesIncidental FindingsIntracellular Communication and SignalingIodineLess-Developed CountriesLess-Developed NationsLipidsMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingMapsMeasurementMeasuresMedicalMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMethodsModern MedicineModernizationModificationNMR ImagingNMR TomographyNoduleNuclear Magnetic Resonance ImagingPathway interactionsPatientsPenetrationPerformancePhasePhotonsProcessRadiation DoseRadiation Dose UnitRadiologyRadiology SpecialtyResearchResolutionRoentgen RaysScanningSeriesSignal TransductionSignal Transduction SystemsSignalingSourceSpeedSystemTechniquesTechnologyThird-World CountriesThird-World NationsTomodensitometryTranslatingTubeUnder-Developed CountriesUnder-Developed NationsUniversity Medical CentersX-RadiationX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyX-Ray ImagingX-Ray Medical ImagingX-Ray RadiationX-rayXrayXray CAT scanXray Computed TomographyXray computerized tomographyXray imagingXray medical imagingZeugmatographyabdominal CTabdominal computed tomographyabsorptionadenomaattenuateattenuatesattenuationbiological signal transductioncatscanclinical applicabilityclinical applicationclinical diagnosticsclinical implementationclinical practiceclinical translationclinically translatablecommunity cliniccomputed axial tomographycomputer tomographycomputerized axial tomographycomputerized tomographycontrast CTcontrast enhancedcontrast enhanced CTcontrast enhanced computed tomographyconventional Xraydetectordeveloping countrydeveloping nationdevelopmentaldiagnostic accuracydiagnostic tooldisease diagnosisexperiencefacilities for imagingimage constructionimage generationimage reconstructionimage-based methodimagingimaging centerimaging facilitiesimaging methodimaging modalityimaging systemimaging-related facilitiesimprovedinnovateinnovationinnovativemedical diagnosticnon-contrast CTnoncontrast CTnoncontrast computed tomographynovelpathwayquantitative imagingradiation riskresolutionsspectral energyspectrum energysuccesssuprarenal glandtechnology platformtechnology systemtemporal measurementtemporal resolutiontime measurementtooluptakevirtual
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Full Description

ABSTRACT
CT imaging is one of the primary diagnostic tools utilized in modern radiology departments, and its importance

to modern medicine cannot be overstated. In recent years, spectral CT technologies have been developed to

address one of the long-standing technical limitations associated with conventional single-kV CT imaging:

anatomical structures with different material compositions may have the same CT number for a given acquisition.

Current spectral CT imaging systems have been implemented using advanced x-ray source and/or detector

technologies that enable image objects to be rapidly scanned using two distinct x-ray spectra. However, these

hardware-based spectral CT systems are not without their own intrinsic limitations. Such limitations include a

reduced field-of-view, slower scan speeds, misregistration between the high kV and low kV measurements in

dual source systems, lack of tube current modulation for many fast kV-switching systems, and having other

clinical workflow/efficiency challenges. In this application, we propose to implement and translate a novel single-

kV spectral CT imaging method for abdominal CT applications that overcomes the limitations associated with

current spectral CT imaging methods. With this new method, all conventional contrast-enhanced single-kV

abdominal CT exams can be used to generate a deluxe series of CT images with the desired spectral CT

functionalities including virtual non-contrast CT images, virtual mono-energetic CT images, and quantitative

material basis images (i.e., one-stop-shop). This new method enables an integrated clinical workflow to improve

clinical diagnostic accuracy while reducing both radiation dose and contrast dose to patients, all while reducing

overall healthcare costs. Three specific aims will be carried out to accomplish the overarching objective of this

project: 1) Implement and optimize techniques to achieve one-stop-shop single-kV spectral CT imaging for

abdominal applications; 2) Validate the proposed one-stop-shop single-kV spectral CT imaging method using

the hardware based spectral CT imaging methods; and 3) translate the one-stop-shop single-kV spectral CT

imaging method to the clinical environment for clinical performance evaluations. Upon the completion of this

project, a unique one-stop-shop CT imaging paradigm will have been implemented and translated to clinical

abdominal CT exams to enable one-stop-shop abdominal CT diagnoses with just a single-kV contrast-enhanced

CT acquisition. This new technique can be made available to all types of imaging facilities including community

hospitals or clinics in developing nations, which is in stark contrast to hardware dual-energy CT and photon

counting CT imaging which has been traditionally reserved to high profile academic medical centers that can

afford the latest technological platforms.

Grant Number: 5R01EB032374-04
NIH Institute/Center: NIH

Principal Investigator: Guang-Hong Chen

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