Featured Publications
EM reconstruction algorithms for emission and transmission tomography.
Lange K, Carson R. EM reconstruction algorithms for emission and transmission tomography. Journal Of Computer Assisted Tomography 1984, 8: 306-16. PMID: 6608535.Peer-Reviewed Original ResearchConceptsEM algorithmGood physical modelTransmission image reconstructionTransmission tomographyMaximum likelihood estimatesAlgebraic schemeRelevant physical featuresNon-negativity constraintsGlobal convergenceIterative techniquePoisson natureLikelihood estimatesParameter estimatesCounting noiseMaximum likelihoodDetector geometryPhysical modelAccurate incorporationEM reconstruction algorithmPhysical featuresSpecific algorithmsImage reconstructionAlgorithmReconstruction algorithmActual reconstruction
2024
High-resolution brain phantom data, with flexible contrast: Validation on the NeuroExplorer (NX)
Gravel P, Toyonaga T, Gallezot J, Fontaine K, Martins S, Mulnix T, Carson R. High-resolution brain phantom data, with flexible contrast: Validation on the NeuroExplorer (NX). 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10656366.Peer-Reviewed Original ResearchQuantitative accuracyPhantom dataSpatial resolutionIterative reconstruction algorithmListmode dataAttenuation correctionPhantom studyPhantomResolution measurementsAttenuation propertiesReconstructed imagesReconstruction algorithmPET imagingCorrection accuracyResolutionScatteringAxial directionAttenuationContrastCorrection
2018
Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data
Lu Y, Fontaine K, Mulnix T, Onofrey JA, Ren S, Panin V, Jones J, Casey ME, Barnett R, Kench P, Fulton R, Carson RE, Liu C. Respiratory Motion Compensation for PET/CT with Motion Information Derived from Matched Attenuation-Corrected Gated PET Data. Journal Of Nuclear Medicine 2018, 59: 1480-1486. PMID: 29439015, PMCID: PMC6126443, DOI: 10.2967/jnumed.117.203000.Peer-Reviewed Original ResearchConceptsMotion correction frameworkMotion informationReference gatePET reconstructionMotion estimation accuracyGated PET dataMotion compensation approachMotion correctionMotion compensation methodMotion estimationRespiratory motion compensationAttenuation correction artifactsLung cancer datasetMotion compensationCT imagesNAC approachReconstruction algorithmPET dataPET imagesNew frameworkInaccurate localizationCancer datasetsBreathing variationsAttenuation correction mapsHuman datasets
2017
Direct reconstruction of parametric images for brain PET with event-by-event motion correction: evaluation in two tracers across count levels
Germino M, Gallezot JD, Yan J, Carson RE. Direct reconstruction of parametric images for brain PET with event-by-event motion correction: evaluation in two tracers across count levels. Physics In Medicine And Biology 2017, 62: 5344-5364. PMID: 28504644, PMCID: PMC5783541, DOI: 10.1088/1361-6560/aa731f.Peer-Reviewed Original Research
2013
List-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 reconstructionFOV
2011
Validation of the Spatially Variant Probability Density Functions for the HRRT
Jian Y, Yao R, Mulnix T, Carson R. Validation of the Spatially Variant Probability Density Functions for the HRRT. 2011, 2443-2446. DOI: 10.1109/nssmic.2011.6152664.Peer-Reviewed Original Research
1995
A system for the 3D reconstruction of retracted-septa PET data using the EM algorithm
Johnson C, Yan Y, Carson R, Martino R, Daube-Witherspoon M. A system for the 3D reconstruction of retracted-septa PET data using the EM algorithm. 1995, 3: 1325-1329 vol.3. DOI: 10.1109/nssmic.1994.474573.Peer-Reviewed Original ResearchIntel iPSC/860 parallel computerData compression schemeImage indexingCompute nodesCompression schemeParallel algorithmParallel computersEM reconstruction algorithmStorage costComputational performanceGE Advance scannerAsynchronous readReconstruction softwareReconstruction algorithmAlgorithmLookup tableProjection dataSoftwareEM algorithmPET dataIndexingProcessorsComputerExtensive useScanner