2020
Accelerating MRI Reconstruction on TPUs
Lu T, Marin T, Zhuo Y, Chen Y, Ma C. Accelerating MRI Reconstruction on TPUs. 2020, 00: 1-9. DOI: 10.1109/hpec43674.2020.9286192.Peer-Reviewed Original ResearchTensor Processing UnitK-space dataData decompositionMeasured k-space dataImage reconstructionAccelerated MRI reconstructionGoogle’s Tensor Processing UnitMR image reconstructionScientific computing problemsAlternating direction methodMachine learning applicationsReconstruction methodImage reconstruction methodDiscrete Fourier transformSparsifying transformCompressive sensingFourier transform operationSparsity constraintMRI reconstructionLearning applicationsCommunication timeNetwork topologyProcessing unitMatrix multiplicationComputational problems
2011
Chapter 44 Using GPUs to Accelerate Advanced MRI Reconstruction with Field Inhomogeneity Compensation
Zhuo Y, Wu X, Haldar J, Marin T, Hwu W, Liang Z, Sutton B. Chapter 44 Using GPUs to Accelerate Advanced MRI Reconstruction with Field Inhomogeneity Compensation. 2011, 709-722. DOI: 10.1016/b978-0-12-384988-5.00044-9.Peer-Reviewed Original ResearchInhomogeneity compensationNonideal physical effectsReconstruction algorithmMRI reconstruction algorithmsLoop invariant code motionFloating-point computationsMagnetic resonance imagingSingle-precision floating-point computationData acquisition timeAccurate image reconstructionSignal-to-noise ratioGPU implementationGPU kernelsMRI reconstructionSeverity of artifactsImproved trade-offFlexible diagnostic toolConstant memoryGPUCode motionImage contrastPhysical effectsImage reconstructionClinical scansAcquisition time