Gigi Galiana, PhD
Associate Professor of Radiology and Biomedical ImagingDownloadHi-Res Photo
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About
Titles
Associate Professor of Radiology and Biomedical Imaging
Appointments
Radiology & Biomedical Imaging
Associate Professor TenurePrimary
Other Departments & Organizations
- Bioimaging Sciences
- Discovery to Cure Internship
- Magnetic Resonance Imaging
- Magnetic Resonance Research Center
- MR Core
- Radiobiology and Genome Integrity
- Radiology & Biomedical Imaging
- Yale Biomedical Imaging Institute
- Yale Cancer Center
- Yale Ventures
Education & Training
- PhD
- Princeton University (2008)
Research
Overview
Medical Research Interests
Mammography; Radiology
ORCID
0000-0001-5974-8708
Research at a Glance
Yale Co-Authors
Frequent collaborators of Gigi Galiana's published research.
Todd Constable, PhD
Hemant Tagare, PhD
Dana Peters, PhD
Albert Sinusas, MD
Publications
2024
Efficient standardization of clinical T2‐weighted images: Phase‐conjugacy e‐CAMP with projected gradient descent
Zhang H, Elsaid N, Sun H, Tagare H, Galiana G. Efficient standardization of clinical T2‐weighted images: Phase‐conjugacy e‐CAMP with projected gradient descent. Magnetic Resonance In Medicine 2024, 92: 2723-2733. PMID: 38988054, DOI: 10.1002/mrm.30214.Peer-Reviewed Original ResearchConceptsData fidelity termSignal evolution modelFidelity termGradient descentProjected GradientEfficient algorithmVirtual conjugate coilAlgorithmObjective functionMapping errorsTunable parametersLinear constraintsSampling schemeTSE dataLong echo train lengthMapsTrain lengthVirtualTurbo spin echoEcho train lengthHigh-resolutionSchemeDataBackground phaseError rangeLow-Field, Low-Cost, Point-of-Care Magnetic Resonance Imaging
Samardzija A, Selvaganesan K, Zhang H, Sun H, Sun C, Ha Y, Galiana G, Constable R. Low-Field, Low-Cost, Point-of-Care Magnetic Resonance Imaging. Annual Review Of Biomedical Engineering 2024, 26: 67-91. PMID: 38211326, DOI: 10.1146/annurev-bioeng-110122-022903.Peer-Reviewed Original ResearchCitationsAltmetricA Pilot Study of Insert Nonlinear Diffusion Gradient Coil on Calf Imaging
Zhang H, Elsaid N, Nixon T, Constable R, Sinusas A, Galiana G. A Pilot Study of Insert Nonlinear Diffusion Gradient Coil on Calf Imaging. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/0496.Peer-Reviewed Original ResearchMeasuring Perfusion in Peripheral Artery Disease Using an Advanced IVIM Method
Elsaid N, Galiana G, Thorn S, Vermillion B, Burns R, Jung S, Zohoro F, Sinusas A, Tagare H. Measuring Perfusion in Peripheral Artery Disease Using an Advanced IVIM Method. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2601.Peer-Reviewed Original ResearchComb EMI: a hardware-free, training-free approach to EMI correction
Sun H, Sun C, Ha Y, Samardzija A, Gross R, Galiana G, Constable R. Comb EMI: a hardware-free, training-free approach to EMI correction. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2691.Peer-Reviewed Original ResearchConceptsElectromagnetic interferenceTraining-freeNoise-dominated regionTraining dataDesign complexityExternal hardwareHardware-freeExtra hardwareHardwareDesign possibilitiesPoint-of-careExperimental dataMRI systemWhite noiseCancellationImprove costSparsitySampling windowSNRDesignTrainingPassive shieldingPortabilityCostMethodEfficient Standardization of Clinical T2-Weighted Images: Phase-Conjugacy e-CAMP with Projected Gradient Descent
Zhang H, Elsaid N, Sun H, Tagare H, Galiana G. Efficient Standardization of Clinical T2-Weighted Images: Phase-Conjugacy e-CAMP with Projected Gradient Descent. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2733.Peer-Reviewed Original ResearchConceptsProjected Gradient DescentGradient descentMachine learningLarge-scale machine learningMassive data sourcesMap reconstructionParameter tuningRobust implementationParameter choicesEfficient enforcementData sourcesModel constraintsVirtual conjugate coilLearningImagesRoutine clinical imagingVirtualClinical imagesAlgorithmDatasetClinical scansParameter valuesMachineDescentQuantitative imagingDesign of novel loop coil array for B0 and gradient field generation
Ha Y, Samardzija A, Sun C, Sun H, Gross R, Galiana G, Constable R. Design of novel loop coil array for B0 and gradient field generation. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2833.Peer-Reviewed Original ResearchInvestigation of Optimal Readout Frequency for the Non-Uniform B0 (NuBo) Field Cycling (FC) Scanner
Sun C, Ha Y, Samardzija A, Sun H, Gross R, Galiana G, Constable R. Investigation of Optimal Readout Frequency for the Non-Uniform B0 (NuBo) Field Cycling (FC) Scanner. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/2852.Peer-Reviewed Original ResearchA Non-Linear Gradient Insert for Prostate Diffusion Imaging
Elsaid N, Zhang H, Nixon T, Constable R, Weinreb J, Galiana G. A Non-Linear Gradient Insert for Prostate Diffusion Imaging. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/3507.Peer-Reviewed Original ResearchPractical Utilization of Nonlinear Spatial Encoding: Fast Field Mapping and FRONSAC-wave
Zhang H, Constable R, Galiana G. Practical Utilization of Nonlinear Spatial Encoding: Fast Field Mapping and FRONSAC-wave. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2024 DOI: 10.58530/2024/3921.Peer-Reviewed Original Research
News
News
- January 22, 2020
Gigi Galiana offers Pro Tip to Young Scientists in Aperture exhibit
- January 26, 2014
New MRI approach dramatically speeds up results
- January 26, 2014
New Approach to Spatial Encoding in MRI Can Greatly Reduce Scan Time