2022
Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine
Toyonaga T, Shao D, Shi L, Zhang J, Revilla EM, Menard D, Ankrah J, Hirata K, Chen MK, Onofrey JA, Lu Y. Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 3086-3097. PMID: 35277742, PMCID: PMC10725742, DOI: 10.1007/s00259-022-05748-2.Peer-Reviewed Original ResearchConceptsNeural networkNovel deep learningNet neural networkPET/CT datasetsImage analysis metricsPhysics-based loss functionDeep learningCT-derived attenuation mapAttenuation mapLoss functionAnalysis metricsDetail recoveryTumor volume estimationMLAACT datasetsOSEM algorithmNetworkAlgorithmAttenuation correctionCorrection framework
2021
Determining the Minimal Required Ultra-Low-Dose CT Dose Level for Reliable Attenuation Correction of 18F-FDG PET/CT: A Phantom Study
Cheng D, Ghita M, Menard D, Chen MK. Determining the Minimal Required Ultra-Low-Dose CT Dose Level for Reliable Attenuation Correction of 18F-FDG PET/CT: A Phantom Study. Journal Of Nuclear Medicine Technology 2021, 50: 126-131. PMID: 34750234, DOI: 10.2967/jnmt.121.262943.Peer-Reviewed Original ResearchReliable attenuation correctionUltra-low dose CTPrecise attenuation correctionAttenuation correctionImaging Performance AssessmentRadiation doseSingle bed positionBeam collimationS rotationTube rotation timeCT acquisition techniquesAssociated radiation doseDose CT protocolF-FDG PET-CT studiesCT radiation dosePhantom studyRadiation dose reductionTube voltageCT dosePET imagesTube currentHelical pitchUltra-low doseKVpPET acquisition