# Motion and distortion robust diffusion weighted imaging sequences for pediatric patients

> **NIH NIH R01** · BOSTON CHILDREN'S HOSPITAL · 2022 · $442,500

## Abstract

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.

## Key facts

- **NIH application ID:** 10366575
- **Project number:** 1R01NS121657-01A1
- **Recipient organization:** BOSTON CHILDREN'S HOSPITAL
- **Principal Investigator:** Onur Afacan
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $442,500
- **Award type:** 1
- **Project period:** 2022-01-01 → 2026-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10366575

## Citation

> US National Institutes of Health, RePORTER application 10366575, Motion and distortion robust diffusion weighted imaging sequences for pediatric patients (1R01NS121657-01A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10366575. Licensed CC0.

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