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
2017
Data-driven event-by-event respiratory motion correction using TOF PET list-mode centroid of distribution
Ren S, Jin X, Chan C, Jian Y, Mulnix T, Liu C, Carson RE. Data-driven event-by-event respiratory motion correction using TOF PET list-mode centroid of distribution. Physics In Medicine And Biology 2017, 62: 4741-4755. PMID: 28520558, PMCID: PMC6048592, DOI: 10.1088/1361-6560/aa700c.Peer-Reviewed Original ResearchConceptsData-driven eventsRespiratory motion correctionSignificant image quality improvementMotion correctionEvent respiratory motion correctionExternal motion tracking systemPET list-mode dataRespiratory motionMotion tracking systemImage quality improvementMotion correction techniqueReconstruction frameworkMotion correction methodDistribution algorithmMotion-induced blurList-mode dataTracking systemFurther processingGated reconstructionsImage noiseRespiratory gating techniqueHuman scansRadioactive eventsContrast recoveryAnzai