2022
Validation of Muscle Fiber Architecture of the Human Tongue Revealed by Diffusion Magnetic Resonance Imaging With Histology Verification.
Liang X, Elsaid NMH, Jiang L, Roys S, Puche AC, Gullapalli RP, Stone M, Prince JL, Zhuo J. Validation of Muscle Fiber Architecture of the Human Tongue Revealed by Diffusion Magnetic Resonance Imaging With Histology Verification. Journal Of Speech Language And Hearing Research 2022, 65: 3661-3673. PMID: 36054846, PMCID: PMC9927595, DOI: 10.1044/2022_jslhr-22-00040.Peer-Reviewed Original ResearchMeSH KeywordsBrainDiffusion Magnetic Resonance ImagingEosine Yellowish-(YS)HematoxylinHumansMagnetic Resonance ImagingMuscle Fibers, SkeletalTongueConceptsDiffusion-weighted magnetic resonance imagingMuscle architectureMagnetic resonance imagingComplex muscle architectureHuman tongueOral surgeryHealthy volunteersEosin stainingDiffusion magnetic resonanceResonance imagingMuscle fibersEntire tongueMuscle fiber architectureHistologyMuscle fiber orientationTongueMagnetic resonanceTensor imagesSurgeryTractogramsSwallowingHeadHematoxylin
2021
Prospective motion detection and re‐acquisition in diffusion MRI using a phase image–based method—Application to brain and tongue imaging
Liang X, Su P, Patil SG, Elsaid NMH, Roys S, Stone M, Gullapalli RP, Prince JL, Zhuo J. Prospective motion detection and re‐acquisition in diffusion MRI using a phase image–based method—Application to brain and tongue imaging. Magnetic Resonance In Medicine 2021, 86: 725-737. PMID: 33665929, PMCID: PMC9169515, DOI: 10.1002/mrm.28729.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtifactsBrainDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-AssistedMotionProspective StudiesTongueConceptsMotion detectionProspective motion correction techniqueMotion-corrupted imagesMotion detection methodMotion-corrupted dataAcquisition frameworkMotion correction techniqueVisual inspectionDMRI acquisitionsDiffusion estimationNonrigid motionTongue imagingImage qualityAcquisition techniquesTractography resultsDMRIDiffusion MRIInspectionMotion artifactsTechniqueDetectionImagesFrameworkArtifacts
2020
Longitudinal white-matter abnormalities in sports-related concussion: A diffusion MRI study
Wu YC, Harezlak J, Elsaid NMH, Lin Z, Wen Q, Mustafi SM, Riggen LD, Koch KM, Nencka AS, Meier TB, Mayer AR, Wang Y, Giza CC, DiFiori JP, Guskiewicz KM, Mihalik JP, LaConte SM, Duma SM, Broglio SP, Saykin AJ, McCrea MA, McAllister TW. Longitudinal white-matter abnormalities in sports-related concussion: A diffusion MRI study. Neurology 2020, 95: 10.1212/wnl.0000000000009930. PMID: 32641518, PMCID: PMC7605507, DOI: 10.1212/wnl.0000000000009930.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAthletesAthletic InjuriesBrain ConcussionCorpus CallosumDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleFootballHumansMaleWhite MatterYoung AdultConceptsSport-related concussionWhite matter abnormalitiesDiffusion tensor imagingWhite matterDTI metricsOutcome measuresCollegiate athletesMean diffusivityContact sport exposureTime pointsClinical outcome measuresGroup differencesProportional hazards modelWhite matter areasAffected white matterAcute concussionAsymptomatic stateClinical outcomesPersistent abnormalitiesClinical assessmentCorpus callosumConcussion assessmentDiffusion MRI studyHazards modelRecovery time
2019
Phase Image Texture Analysis for Motion Detection in Diffusion MRI (PITA-MDD)
Elsaid NMH, Prince JL, Roys S, Gullapalli RP, Zhuo J. Phase Image Texture Analysis for Motion Detection in Diffusion MRI (PITA-MDD). Magnetic Resonance Imaging 2019, 62: 228-241. PMID: 31319127, PMCID: PMC6697150, DOI: 10.1016/j.mri.2019.07.009.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnisotropyArtifactsBrainDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-AssistedMotionProspective StudiesReproducibility of ResultsConceptsImage texture analysisMotion detectionAutomatic motion detectionTexture analysisSubject motionReal-time feedbackData corruptionMotion correction methodData quality controlEfficient mannerMotion corruptionMultiple applicationsMotion metricsProspective motion correctionPhase imagesMotion correctionImagesMagnitude imagesPhase artifactsMetricsFast alternativeNovel methodDMRI methodsDiffusion MRICorrection methodSuper-Resolution Diffusion Tensor Imaging using SRCNN: A Feasibility Study*
Elsaid NMH, Wu YC. Super-Resolution Diffusion Tensor Imaging using SRCNN: A Feasibility Study*. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2019, 00: 2830-2834. PMID: 31946482, PMCID: PMC7219542, DOI: 10.1109/embc.2019.8857125.Peer-Reviewed Original ResearchMeSH KeywordsBrainDeep LearningDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingEcho-Planar ImagingFeasibility StudiesHumansImage Processing, Computer-Assisted