AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis
NIBIB - National Institute of Biomedical Imaging and Bioengineering
About This Grant
Project Summary/Abstract Progressive multiple sclerosis (PMS) presents unique challenges due to its gradual progression and subtle, diffuse changes in normal-appearing gray and white matter (NAGM, NAWM). While current imaging techniques provide valuable insights, there remains an opportunity to enhance early detection and improve the precision of monitoring PMS pathology. This project introduces an innovative neuroimaging platform that integrates deep learning with Gradient Echo Plural Contrast Imaging (AI-GEPCI) to generate inherently co-registered, multiparametric contrasts from a single, efficient scan. AI-GEPCI is designed to reduce scan times and motion artifacts while enhancing sensitivity to early structural changes by producing clinically relevant contrasts such as R2*, T2*-weighted, FLAIR*, and MP*. FLAIR* and MP* are multiparametric contrasts derived from combining fluid-attenuated inversion recovery (FLAIR) and magnetization-prepared rapid gradient-echo (MPRAGE) sequences with T2*-weighted imaging, respectively. These contrasts facilitate the visualization of conventional lesions alongside advanced markers such as the Central Vein Sign (CVS) and Paramagnetic Rim Lesions (PRLs). When combined with quantitative Gradient Recalled Echo (qGRE) maps sensitive to neuronal injury and demyelination, AI-GEPCI enables a comprehensive and nuanced assessment of PMS pathology that complements existing imaging approaches. Specific aims include: Together, these aims will support the development and validation of an integrated imaging platform designed to enhance PMS detection, monitoring, and personalized care. • Aim 1: Develop an AI-GEPCI toolbox using deep learning to generate a suite of inherently co-registered multiparametric images from a single GEPCI MRI scan, enabling a comprehensive neurological imaging protocol from one acquisition. • Aim 2: Apply AI-GEPCI-generated multiparametric images together with qGRE quantitative maps sensitive to neuronal injury and demyelination to identify, assess, and characterize progressive multiple sclerosis across retrospective, longitudinal, and prospective datasets. This project will establish a unified, efficient imaging platform with sensitivity and specificity to earlier PMS detection and monitoring, supporting personalized care. Its broader translational potential offers promise for application in other neurodegenerative and neuroinflammatory diseases, advancing the goals of precision medicine and improved patient outcomes. Importantly, this research also serves as a structured platform for career development, enabling training in advanced MRI physics, deep learning, and clinical translation, critical skills for my long-term goal of becoming an independent investigator in MS-focused neuroimaging.
Grant Summary
AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis is a NIBIB - National Institute of Biomedical Imaging and Bioengineering grant providing up to $120K for university, nonprofit, healthcare org. Applications are due 2030-06-30 (open). Check eligibility and apply with FindGrants.
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Eligibility
How to Apply
Up to $120K
2030-06-30
- 1Confirm your organization is eligible for AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis from NIBIB - National Institute of Biomedical Imaging and Bioengineering, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIBIB - National Institute of Biomedical Imaging and Bioengineering before the deadline.
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AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis: Frequently Asked Questions
Who is eligible for the AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis?
AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis is offered by NIBIB - National Institute of Biomedical Imaging and Bioengineering and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis provide?
AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis provides up to $120K per award from NIBIB - National Institute of Biomedical Imaging and Bioengineering. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis deadline?
Applications for AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis are due 2030-06-30 (open). Because deadlines can change, verify the date with the funder, NIBIB - National Institute of Biomedical Imaging and Bioengineering, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis?
To apply for AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) MRI for Early Detection and Monitoring in Multiple Sclerosis, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIBIB - National Institute of Biomedical Imaging and Bioengineering.