2023
Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model
Dong Y, Jang S, Han P, Johnson K, Ma C, Fakhri G, Li Q, Gong K. Attenuation correction for PET imaging using conditional denoising diffusion probabilistic model. 2023, 00: 1-1. DOI: 10.1109/nssmicrtsd49126.2023.10338188.Peer-Reviewed Original ResearchDiffusion probabilistic modelGenerative adversarial networkConditional encodingAttenuation correctionDenoising diffusion probabilistic modelLow-level featuresProbabilistic modelAttenuation coefficientAdversarial networkExtract featuresPET/MR systemsEncodingPET acquisitionNovel methodDiffusion encodingMagnetic resonanceImagesPET imagingCorrectionMR imagingUNetAttenuationNetworkFeaturesResonance
2021
Nonuniform Fast Fourier Transform on Tpus
Lu T, Marin T, Zhuo Y, Chen Y, Ma C. Nonuniform Fast Fourier Transform on Tpus. 2021, 00: 783-787. DOI: 10.1109/isbi48211.2021.9434068.Peer-Reviewed Original ResearchNonuniform fast Fourier transformFast Fourier transformTensor Processing UnitTPU coresFourier transformImage reconstructionMR image reconstructionTensor operatorsK-spaceK-space dataGoogle’s Tensor Processing UnitDeep learning applicationsNumerical examplesNonuniform gridsScaling analysisCPU implementationMagnetic resonanceHardware acceleratorsLearning applicationsComputational bottleneckProcessing unitMatrix multiplicationPractical runtimeAccelerationOperation