2016
SPECT Imaging of 2-D and 3-D Distributed Sources with Near-Field Coded Aperture Collimation: Computer Simulation and Real Data Validation
Mu Z, Dobrucki LW, Liu YH. SPECT Imaging of 2-D and 3-D Distributed Sources with Near-Field Coded Aperture Collimation: Computer Simulation and Real Data Validation. Journal Of Medical And Biological Engineering 2016, 36: 32-43. PMID: 27069461, PMCID: PMC4791458, DOI: 10.1007/s40846-016-0111-6.Peer-Reviewed Original ResearchMaximum likelihood expectation maximizationReconstruction approachImage resolutionLarge projection angleIterative image reconstructionNoise artifactsMicro-SPECT systemComputer simulationsReal data validationImage reconstructionDigital phantomExpectation maximizationData validationCA moduleMLEM algorithmImage qualityPinhole imagesProjection angleCommercial softwareImagesPhantom imagesSquared errorSPECT imagesCA imagesImage contrast
1995
Blind deconvolution of fluorescence micrographs by maximum-likelihood estimation.
Krishnamurthi V, Liu Y, Bhattacharyya S, Turner J, Holmes T. Blind deconvolution of fluorescence micrographs by maximum-likelihood estimation. Applied Optics 1995, 34: 6633-47. PMID: 21060518, DOI: 10.1364/ao.34.006633.Peer-Reviewed Original ResearchReal image reconstructionReconstructed imagesBlind deconvolutionImage dataBlind deconvolution algorithmAlgorithmic refinementsBlind deconvolution methodPoint spread functionSame data setImage reconstructionReconstructed point spread functionsAlgorithmData setsImagesBlind versionSmear removalConfocal dataComputer simulationsMaximum likelihood estimationDeblurringFluorescence micrographs