grant

Motion and Distortion Robust Diffusion Weighted Imaging Sequences for Pediatric Patients

Organization BOSTON CHILDREN'S HOSPITALLocation BOSTON, UNITED STATESPosted 1 Jan 2022Deadline 31 Dec 2027
NIHUS FederalResearch GrantFY20250-11 years old21+ years oldAD/HDADHDAbscissionAdultAdult HumanAffectAmentiaAnatomic SitesAnatomic structuresAnatomyAreaArtifactsAttention deficit hyperactivity disorderBody TissuesBrainBrain Nervous SystemBrain regionChildChild YouthChildhoodChildren (0-21)ClinicClinicalCompensationComplexDWI (diffusion weighted imaging)DWI-MRIData SetDementiaDiffusionDiffusion MRIDiffusion Magnetic Resonance ImagingDiffusion Weighted MRIDiffusion weighted imagingDiffusion-weighted Magnetic Resonance ImagingDrug resistanceEcho-Planar ImagingEcho-Planar Magnetic Resonance ImagingEchoplanar ImagingEchoplanar Magnetic Resonance ImagingEncephalonEpilepsyEpileptic SeizuresEpilepticsEventExcisionExtirpationFiberFreedomFunctional MRIFunctional Magnetic Resonance ImagingGoalsHeadHistoryImageInfantIntractable EpilepsyLanguageLesionLibertyMR ImagingMR TomographyMRIMRI ScansMRIsMagnetic Resonance ImagingMagnetic Resonance Imaging ScanMapsMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMethodsMorphologic artifactsMotionMotor SkillsNMR ImagingNMR TomographyNational Institutes of HealthNeurologic outcomeNeurological outcomeNeurosurgeonNuclear Magnetic Resonance ImagingOperative ProceduresOperative Surgical ProceduresParalysis AgitansParameter EstimationParkinsonParkinson DiseasePatient RecruitmentsPatientsPhasePhysiologic pulsePlanar Medical ImagingPopulationPositionPositioning AttributePostoperativePostoperative PeriodPredispositionPredominantly Hyperactive-Impulsive Type Attention-Deficit DisorderPredominantly Hyperactive-Impulsive Type Hyperactivity DisorderPrimary ParkinsonismProtocolProtocols documentationPulseRecording of previous eventsRefractory epilepsyRemovalResearchResolutionRisk ReductionRunningSamplingScanningSeizure DisorderSeizuresSliceSurgicalSurgical InterventionsSurgical ProcedureSurgical RemovalSusceptibilityTechniquesTechnologyTimeTissuesUnited States National Institutes of HealthUpdateVariantVariationZeugmatographyadulthoodautistic childrenchild patientschildhood epilepsychildren on the autism spectrumchildren with ASDchildren with autismchildren with autism spectrum disordercontrast imagingdMRIdevelop softwaredeveloping computer softwarediffuseddiffusesdiffusingdiffusion tensor imagingdiffusionsdrug resistantdrug-resistant epilepsyeffective therapyeffective treatmentepilepsiaepilepsy participantepilepsy patientepilepsy subjectepilepsy volunteerepileptic patientepileptic subjectepileptogenicfMRIfunctional losshistoriesimage constructionimage generationimage reconstructionimage-based methodimagingimaging methodimaging modalityimaging studyimprovedinnovateinnovationinnovativekidsmagnetic fieldmotor abilityneuro-surgeonnovelparticipant recruitmentpatient populationpatients with epilepsypediatricpediatric epilepsypediatric patientspreservationprospectiveradiologistreconstructionreduce riskreduce risksreduce that riskreduce the riskreduce these risksreduces riskreduces the riskreducing riskreducing the riskresearch studyresectionresistance to Drugresistant to Drugresolutionsrisk-reducingsensorsoftware developmentsubstantia albasuccesssurgerytooltractographywhite matteryoungster
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Full Description

Project Summary
In pediatric epilepsy patients with drug-resistant seizures, surgical resection is the most effective treatment

option. The goal of resective surgery is to maximize removal of epileptic foci to attain seizure-freedom while

minimizing damage to surrounding brain regions to avoid permanent post-surgical functional loss. Diffusion

MRI enables rapid and non-invasive pre-surgical mapping of language, motor skills and other critical functional

brain regions with high spatial resolution. However, excessive head motion presents a major limitation for

acquiring high-quality diffusion MRI in pediatric patients with focal brain lesions, who usually have difficulty

remaining still for long scan durations. Unfortunately, current retrospective and prospective approaches cannot

adequately compensate for the complex effects of motion in diffusion MRI. As echo planar imaging (EPI) is

highly susceptible to local magnetic field variations, motion-induced geometric distortions can lead to

potentially significant mislocalization of important brain regions, even with accurate head motion tracking. The

overarching goal of the research proposed under this application to the NIH is to dramatically improve the

quality of diffusion MRI for pre-surgical mapping in pediatric epilepsy patients. We are proposing a solution

based on a dual-echo EPI sequence, which was shown to produce high quality slice level distortion maps that

can be used to correct motion related artifacts. We will generate a pipeline that produces motion and distortion

free images on the scanner with the utilization of an online reacquisition and distortion correction strategy. We

hypothesize that this improved diffusion MRI acquisition strategy will produce technically useful tractography in

pediatric epilepsy patients evaluated for a resection surgery at a higher rate than previously thought possible.

To achieve these ambitious goals, we will undertake the following specific aims: Specific Aim 1: Develop,

optimize and evaluate a dual echo sequence for slice level geometric distortions correction; Specific

Aim 2: Develop and evaluate a novel prospective motion correction technology that estimates and

corrects geometric distortions at each position; Specific Aim 3: Develop and evaluate tools for on-

scanner motion and distortion correction, reacquisition and diffusion parameter estimation; Specific

Aim 4: Apply and evaluate motion and distortion compensation technologies in DW-MRI of pediatric

candidates for epilepsy surgery: If successful, our project will facilitate widespread clinical adaptation of

diffusion MRI for pre-surgical mapping in epilepsy, and enable high resolution diffusion MRI for research

studies in incompliant patient populations.

Grant Number: 5R01NS121657-03
NIH Institute/Center: NIH

Principal Investigator: Onur Afacan

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