2022
Virtual high‐count PET image generation using a deep learning method
Liu J, Ren S, Wang R, Mirian N, Tsai Y, Kulon M, Pucar D, Chen M, Liu C. Virtual high‐count PET image generation using a deep learning method. Medical Physics 2022, 49: 5830-5840. PMID: 35880541, PMCID: PMC9474624, DOI: 10.1002/mp.15867.Peer-Reviewed Original ResearchConceptsStructural similarity indexImage quality evaluationDeep learning-based methodsDeep learning methodsImage qualityLearning-based methodsPET datasetsStatic datasetsDL methodsNet networkImage generationPET imagesNetwork inputsImage counterpartsLearning methodsNetwork outputTraining datasetPeak signalPositron emission tomography (PET) imagesQuality evaluationDatasetCross-validation resultsMean square errorHigh-count imagesImages
2021
PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients
Liu H, Yousefi H, Mirian N, Lin M, Menard D, Gregory M, Aboian M, Boustani A, Chen M, Saperstein L, Pucar D, Kulon M, Liu C. PET Image Denoising Using a Deep-Learning Method for Extremely Obese Patients. IEEE Transactions On Radiation And Plasma Medical Sciences 2021, 6: 766-770. PMID: 37284026, PMCID: PMC10241407, DOI: 10.1109/trpms.2021.3131999.Peer-Reviewed Original ResearchDetermining 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 acquisitionSuper-resolution PET Brain Imaging using Deep Learning
Ren S, Liu J, Xie H, Toyonaga T, Mirian N, Chen M, Aboian M, Carson R, Liu C. Super-resolution PET Brain Imaging using Deep Learning. 2021, 00: 1-6. DOI: 10.1109/nss/mic44867.2021.9875548.Peer-Reviewed Original ResearchDeep learning networkPET image resolutionData augmentation methodImage resolutionSuper-resolution approachMedical imaging modalitiesClinical brain imagesDeep learningLearning networkAugmentation methodPET image qualityBrain imagesImage qualityNetworkImagesMedical diagnostic technologyPET imagesHRRT imagesData generalizabilityLearningSubstantial improvementScannerTechnologyPET brain imagingAccuracy