2024
Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI
Liu X, Xing F, Zhuo J, Stone M, Prince J, El Fakhri G, Woo J. Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI. Proceedings Of SPIE--the International Society For Optical Engineering 2024, 12926: 129262w-129262w-5. PMID: 39238547, PMCID: PMC11377028, DOI: 10.1117/12.3006874.Peer-Reviewed Original ResearchCross-modal translationHealthy individualsTongue cancer patientsMotion fieldOut-of-distributionOne-class SVMPatient dataAnomaly detectionAnomaly detectorCancer patientsTagged MRISpeech-related disordersGeneralization capabilityReconstruction qualitySpeech qualityArticulatory-acoustic relationsPatientsSpeech waveformTraining setInnovative treatmentsMRITest setMotion patternsArticulatory featuresTraining translators
2023
Chapter 1 Computed tomography manifestations and prognosis of mild COVID-19 cases
Wang M, Fakhri G. Chapter 1 Computed tomography manifestations and prognosis of mild COVID-19 cases. 2023, 1-10. DOI: 10.1016/b978-0-443-18493-2.00001-2.Peer-Reviewed Original ResearchMild COVID-19 casesAsymptomatic patientsImaging findingsComputed tomographyAsymptomatic infectionNegative imaging findingsRespiratory tract specimensPositive nucleic acidCT manifestationsInfected casesComputed tomography manifestationsClinical symptomsMild casesAsymptomatic infected casesPatientsMild typeSARS-CoV-2InfectionSARS-CoV-2 virusClinical signsCommonest typeManifestationsCOVID-19 casesSymptomsPrognosisChapter 3 Computed tomography manifestations and prognosis of severe COVID-19 cases
Wang M, Fakhri G. Chapter 3 Computed tomography manifestations and prognosis of severe COVID-19 cases. 2023, 43-130. DOI: 10.1016/b978-0-443-18493-2.00003-6.Peer-Reviewed Original ResearchChapter 4 Bed-side DR and computed tomography manifestations and prognosis of critical COVID-19 cases
Wang M, Fakhri G. Chapter 4 Bed-side DR and computed tomography manifestations and prognosis of critical COVID-19 cases. 2023, 131-156. DOI: 10.1016/b978-0-443-18493-2.00004-8.Peer-Reviewed Original Research
2022
Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging
Sun T, Wang Z, Wu Y, Gu F, Li X, Bai Y, Shen C, Hu Z, Liang D, Liu X, Zheng H, Yang Y, El Fakhri G, Zhou Y, Wang M. Identifying the individual metabolic abnormities from a systemic perspective using whole-body PET imaging. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 2994-3004. PMID: 35567627, PMCID: PMC9106794, DOI: 10.1007/s00259-022-05832-7.Peer-Reviewed Original ResearchConceptsPET imagingNormal control databaseTotal-body imagingWhole-body PET imagingNon-invasive modalitySUV measurementsGastrointestinal bleedingMetabolic abnormitiesSystem abnormalitiesTotal bodyLung cancerHealthy subjectsMetabolic dysfunctionFocal lesionsCOVID-19 diseaseGlucose metabolismControl databaseSUV imagesPatientsAbnormal networkBiological mechanismsDiseasePETMetabolic connectivityImpact of 40 Hz Transcranial Alternating Current Stimulation on Cerebral Tau Burden in Patients with Alzheimer's Disease: A Case Series.
Dhaynaut M, Sprugnoli G, Cappon D, Macone J, Sanchez J, Normandin M, Guehl N, Koch G, Paciorek R, Connor A, Press D, Johnson K, Pascual-Leone A, El Fakhri G, Santarnecchi E. Impact of 40 Hz Transcranial Alternating Current Stimulation on Cerebral Tau Burden in Patients with Alzheimer's Disease: A Case Series. Journal Of Alzheimer's Disease 2022, 85: 1667-1676. PMID: 34958021, PMCID: PMC9023125, DOI: 10.3233/jad-215072.Peer-Reviewed Original ResearchConceptsMicroglia activationGamma spectral powerDecrease of microglia activationNo adverse eventsTranscranial alternating current stimulationSlow disease progressionPlacebo-controlled conditionsPreclinical dataCase seriesAdverse eventsGamma oscillationsElectrophysiological assessmentP-tauMouse modelDisease progressionMesial regionMild to moderate ADAnimal modelsPatientsPET imagingAlzheimer's diseaseSpectral powerAD mouse modelAD patientsProtein clearance
2021
A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET
Xue S, Guo R, Bohn K, Matzke J, Viscione M, Alberts I, Meng H, Sun C, Zhang M, Zhang M, Sznitman R, El Fakhri G, Rominger A, Li B, Shi K. A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET. European Journal Of Nuclear Medicine And Molecular Imaging 2021, 49: 1843-1856. PMID: 34950968, PMCID: PMC9015984, DOI: 10.1007/s00259-021-05644-1.Peer-Reviewed Original ResearchConceptsStructural similarity index measurePET imagingGenerative adversarial networkNuclear medicine physiciansArtificial intelligenceLow-dose scansBaseline image qualityDose reductionConditional generative adversarial networkClinical imaging assessmentSimilarity index measureDiversity of clinical practiceDevelopment of AI technologyDeep learning developmentDose acquisitionImaging assessmentMedicine physiciansImage qualityResultsThe improvementPatientsClinical acceptanceClinical practiceClinical settingAdversarial networkLow-dose PETDeep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Marin T, Zhuo Y, Lahoud R, Tian F, Ma X, Xing F, Moteabbed M, Liu X, Grogg K, Shusharina N, Woo J, Lim R, Ma C, Chen Y, El Fakhri G. Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas. Radiotherapy And Oncology 2021, 167: 269-276. PMID: 34808228, PMCID: PMC8934266, DOI: 10.1016/j.radonc.2021.09.034.Peer-Reviewed Original ResearchConceptsGross tumor volumeRadiation therapy treatment planningGross tumor volume contoursGross tumor volume delineationTherapy treatment planningIntra-observer variabilityConsensus contoursGTV contoursPre-operative CT imagesSoft tissue sarcomasRadiation oncologistsTumor volumeBone sarcomasTreatment planningAccurate contoursCT imagesDelineation procedureSarcomaSoft tissueConfidence levelRadiationPatientsHausdorff distanceMultiple contoursX-rayDetecting lumbar lesions in 99mTc‐MDP SPECT by deep learning: Comparison with physicians
Petibon Y, Fahey F, Cao X, Levin Z, Sexton‐Stallone B, Falone A, Zukotynski K, Kwatra N, Lim R, Bar‐Sever Z, Chemli Y, Treves S, Fakhri G, Ouyang J. Detecting lumbar lesions in 99mTc‐MDP SPECT by deep learning: Comparison with physicians. Medical Physics 2021, 48: 4249-4261. PMID: 34101855, DOI: 10.1002/mp.15033.Peer-Reviewed Original ResearchConceptsSingle-photon emission computed tomographyLow back painLumbar lesionsPediatric patientsTc-MDPEvaluate low back painCause of low back painTc-MDP scanLesion-presentEmission computed tomographyConvolutional neural networkClinical likelihoodBack painInterreader variabilityDeep convolutional neural networkLumbar locationLesionsStress lesionsFocal lesionsDeep learningPatientsLumbar stressPhysiciansDL systemsLROC studies
2019
Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction
Blanc-Durand P, Khalife M, Sgard B, Kaushik S, Soret M, Tiss A, Fakhri G, Habert M, Wiesinger F, Kas A. Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction. PLOS ONE 2019, 14: e0223141. PMID: 31589623, PMCID: PMC6779234, DOI: 10.1371/journal.pone.0223141.Peer-Reviewed Original ResearchConceptsZero echo timeAC mapsAttenuation correctionPET attenuation correctionCT-based ACComputed tomographyAC methodPhoton attenuationZTE-ACInvestigation of suspected dementiaMR imagingBrain computed tomographyAtlas-ACBrain metabolismZTE-MRIConvolutional neural networkEcho timeHead atlasFDG-PET/MRPET imagingLow biasRegions-of-interestPatientsCorrectionNeural networkAtlas-Based Tongue Muscle Correlation Analysis From Tagged and High-Resolution Magnetic Resonance Imaging.
Xing F, Stone M, Goldsmith T, Prince J, El Fakhri G, Woo J. Atlas-Based Tongue Muscle Correlation Analysis From Tagged and High-Resolution Magnetic Resonance Imaging. Journal Of Speech Language And Hearing Research 2019, 62: 2258-2269. PMID: 31265364, PMCID: PMC6808360, DOI: 10.1044/2019_jslhr-s-18-0495.Peer-Reviewed Original ResearchConceptsInternal tongue musclesFloor of mouthMagnetic resonance imagingHigh-resolution magnetic resonance imagingMuscle pairsTongue musclesRehabilitation strategiesSpeech sound productionResonance imagingCoordination patternsSpeech motor controlMuscle locationDisease populationMotion of muscleMotor controlIntersubjective behaviorsManually labeled masksMuscleGlossectomy patientsExtrinsic tongue musclesControl subjectsBloc movementFunctional lossPatientsMotion patterns
2014
Physical Aspects of Pediatric Nuclear Medicine Imaging
Fahey F, Lim R, El-Fakhri G. Physical Aspects of Pediatric Nuclear Medicine Imaging. 2014, 621-643. DOI: 10.1007/978-1-4614-9551-2_27.Peer-Reviewed Original ResearchNuclear medicine imagingReduction of radiation doseMedicine imagingQuality of nuclear medicine imagingNuclear medicine studiesApplications of nuclear medicineClinical resultsRadiation doseImage quality improvementTomographic reconstructionHybrid imagingMedicine studiesPatientsNuclear medicineChildrenReconstruction technique
2013
Bias Atlases for Segmentation-Based PET Attenuation Correction Using PET-CT and MR
Ouyang J, Chun Y, Petibon Y, Bonab A, Alpert N, Fakhri G. Bias Atlases for Segmentation-Based PET Attenuation Correction Using PET-CT and MR. IEEE Transactions On Nuclear Science 2013, 60: 3373-3382. PMID: 24966415, PMCID: PMC4067048, DOI: 10.1109/tns.2013.2278624.Peer-Reviewed Original ResearchAttenuation correctionBias imagesLung density variationsPET attenuation correctionPET-MR scannersAttenuation mapFat identificationOriginal CTPET reconstructionOverall standard deviationPET-MRMR imagingVariation of biasDensity variationsCT-based studyPET accuracyPET-CTStandard deviation of biasCorrectionFat segmentationTissue classesPatientsSoft tissueAttenuationLung
2003
Evaluation of a Monte Carlo Scatter Correction in Clinical 3D PET
Holdsworth C, Badawi R, Santos P, Van den Abbeele A, Hoffman E, Fakhri G. Evaluation of a Monte Carlo Scatter Correction in Clinical 3D PET. 2003, 4: 2540-2544. DOI: 10.1109/nssmic.2003.1352408.Peer-Reviewed Original ResearchScatter correctionUncorrected imagesPET imagingChannelized Hotelling observerHotelling observerPatient dataPatient imagesQuantitative accuracyLesion detection sensitivityPatient sizePhantomLesion sensitivityPatientsMonteLesionsLesion detectionCorrectionROI analysisIntensity varianceDetection sensitivityPETScatteringAverage absolute bias
2002
Impact of Acquisition Geometry and Patient Habitus on Lesion Detectability in Whole-Body FDG-PET: A Channelized Hotelling Observer Study
Fakhri G, Holdsworth C, Badawi R, Santos P, Moore S, Van den Abbeele A, Kijewski M. Impact of Acquisition Geometry and Patient Habitus on Lesion Detectability in Whole-Body FDG-PET: A Channelized Hotelling Observer Study. 2002, 3: 1402-1405. DOI: 10.1109/nssmic.2002.1239583.Peer-Reviewed Original ResearchBed positionChannelized Hotelling observer studyFDG-PET studiesAttenuation mapAcquisition modeMarginal detectionFDG-PETLesion detectionWhole-body FDG-PETHotelling observerScaling 2DTypical sizePatient sizeHours post-injectionPatient habitusAnatomical backgroundWhole bodyLesion sizeObservational studyPatientsLesionsLesion siteModePost-injectionAcquisition geometry