2017
A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT
Wu J, Liu H, Zonouz T, Sandoval VM, Mohy‐ud‐Din H, Lampert RJ, Sinusas AJ, Liu C, Liu Y. A blind deconvolution method incorporated with anatomical‐based filtering for partial volume correction: Validations with 123I‐mIBG cardiac SPECT/CT. Medical Physics 2017, 44: 6435-6446. PMID: 28994458, DOI: 10.1002/mp.12622.Peer-Reviewed Original Research
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
1993
Three-dimensional image reconstruction of fluorescence micrographs without knowing the point spread function
Holmes T, Krishnamurthi V, Liu Y. Three-dimensional image reconstruction of fluorescence micrographs without knowing the point spread function. Microscopy And Microanalysis 1993, 51: 152-153. DOI: 10.1017/s0424820100146606.Peer-Reviewed Original ResearchGeneral signal processing applicationsSignal processing applicationsBlind deconvolutionImage dataProcessing applicationsPoint spread functionNoisy dataImage reconstructionThree-dimensional image reconstructionBlind deconvolution approachOptimization approachExplicit knowledgeSpread functionMaximum likelihood estimationMathematical optimization approachNew approach