2024
A deep learning-based approach to nuisance signal removal from MRSI data aqcuired without suppression
Lee W, Zhuo Y, Marin T, Han P, Chi D, Fakhri G, Ma C. A deep learning-based approach to nuisance signal removal from MRSI data aqcuired without suppression. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/0259.Peer-Reviewed Original ResearchDeep learning-based methodsLearning-based methodsU-Net structureSignal removalIn vivo MRSI dataNeural networkU-NetMRSI dataImage reconstructionSuperior performanceData processingRobust performanceHankel matrixNetworkNuisance signalsConventional methodsPerformanceMRSI signalsSignalMethodRemove nuisance signalsRemovalHankel
2020
Penalized Parametric PET Image Estimation Using Local Linear Fitting
Kim K, Gong K, Moon S, Fakhri G, Normandin M, Li Q. Penalized Parametric PET Image Estimation Using Local Linear Fitting. IEEE Transactions On Radiation And Plasma Medical Sciences 2020, 4: 750-758. DOI: 10.1109/trpms.2020.3024123.Peer-Reviewed Original ResearchReconstructed framesImage estimationGraphical modelsFull-dose imagesStatic imagesParametric imaging methodFunction extractionPhysiological informationImagesPositron emission tomographyLogan graphical modelConventional methodsPatient studiesKinetic parametersSuboptimalityFrameDynamic imagingTwo-tissue compartment model