2024
MOLAR-NX: building a PET reconstruction framework for exploring the novel features provided by the NeuroEXPLORER
Fontaine K, Gallezot J, Zhang J, He L, Gravel P, Zeng T, Li T, Li Y, Leung E, Sun X, Guo L, Mulnix T, Toyonaga T, Lu Y, Li H, Badawi R, Qi J, Carson R. MOLAR-NX: building a PET reconstruction framework for exploring the novel features provided by the NeuroEXPLORER. 2024, 00: 1-2. DOI: 10.1109/nss/mic/rtsd57108.2024.10655187.Peer-Reviewed Original ResearchReconstruction processDepth of interactionReconstruction frameworkAdvanced frameworkFramework's effectivenessMask featuresNovel featuresContrast recoveryScatter correction methodReconstruction softwareFrameworkListmode dataDownsamplingMotion correctionPhantom studyListmode filesFeaturesCorrection methodSoftwareFilesNeuroExplorerReconstruction
2013
Evaluation of motion correction methods in human brain PET imaging—A simulation study based on human motion data
Jin X, Mulnix T, Gallezot J, Carson RE. Evaluation of motion correction methods in human brain PET imaging—A simulation study based on human motion data. Medical Physics 2013, 40: 102503. PMID: 24089924, PMCID: PMC3785538, DOI: 10.1118/1.4819820.Peer-Reviewed Original ResearchConceptsAccurate motion dataMotion correction methodEvent motion correctionIntraframe motionCorrection methodMotion dataMotion correctionROI intensitiesHead motion dataImage reconstructionKinetic modelHuman motion dataSystem resolutionHead motionMotionSimulation studyFrame-based methodsPotential figuresKinetic parametersAccuracyMC methodAttenuation mapImage registrationHigh-contrast regionsImage intensityList-mode reconstruction for the FOCUS-220 with motion correction and spatially-variant probability density functions: Application to awake monkey imaging
Jin X, Jian Y, Mulnix T, Sandiego C, Yao R, Carson R. List-mode reconstruction for the FOCUS-220 with motion correction and spatially-variant probability density functions: Application to awake monkey imaging. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2985-2990. DOI: 10.1109/nssmic.2012.6551682.Peer-Reviewed Original ResearchEvent motion correctionIntra-frame motionMotion correctionMotion correction methodRadial offsetLarge motionEntire FOVFrame methodSpatial resolutionRadial resolutionProbability density functionCorrection methodTangential resolutionPoint sourcesMotionResolution kernelsHigh-quality imagesReconstruction algorithmList-mode reconstruction algorithmDensity functionList-mode reconstructionFOVDynamic assessment of head motion compensation for the HRRT
Jin X, Mulnix T, Gallezot J, Carson R. Dynamic assessment of head motion compensation for the HRRT. 2011 IEEE Nuclear Science Symposium Conference Record 2013, 2867-2872. DOI: 10.1109/nssmic.2012.6551654.Peer-Reviewed Original ResearchMotion-free referenceEvent motion correctionMotion correction methodIntra-frame motionMotion compensationActual motion dataMotion correctionHead motion compensationCorrection methodHuman head motionFrame-based methodsSubject motionWide rangeSystem resolutionMotionMotion dataGood accuracyPrevious simulation studiesImage reconstructionSimulation studyDynamics studyCompensationHead motionRangeMethod
2010
Multiple Acquisition Frame-Based Motion Correction for Awake Monkey PET Imaging
Jin X, Sandiego C, Mulnix T, Carson R. Multiple Acquisition Frame-Based Motion Correction for Awake Monkey PET Imaging. 2010, 2915-2920. DOI: 10.1109/nssmic.2010.5874329.Peer-Reviewed Original ResearchList-mode dataMultiple acquisition framesRaw list-mode dataAttenuation correctionMotion correctionMotion correction methodTransmission imagesAnesthetized studySmall animal studiesImage qualityAcquisition frameComparable image qualityRapid motionTime precisionCorrection methodMR templateCorrectionPET brain imagingStandard time frameThresholdQuantitative image qualityAwake non-human primatesOrientationQuantitative resultsMotion