NIH AI Restriction
NIH policy NOT-OD-25-132 prohibits the use of AI-generated text in grant applications that is not substantially modified by the applicant. All AI-drafted sections must be thoroughly rewritten in your own words before submission.
View full policyState-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner
OD - NIH Office of the Director
About This Grant
Project summary/abstract: This application proposes to replace an end-of-life Philips research 3T MRI in the MRI Service Center at Johns Hopkins University (JHU) with a state-of-the-art Philips MR7700 3T MRI system. The proposed MRI scanner will benefit NIH-funded investigators across JHU and beyond. The current Philips research 3T MRI system has supported numerious NIH-funded projects over the past 20 years but is now reaching its end-of-life. The vendor, Philips Healthcare, has informed us that, due to the age of the hardware and the scarcity of this model among their customers, service contracts or replacement parts will no longer be available for this system beyond December 31, 2025. Therefore, the replacement with a new research 3T is both timely and imperative. JHU’s MRI technical group is one of the largest in the nation (>150 people). Therefore, considerable technical expertise is available among the Center personnel and other investigators at Johns Hopkins Radiology. Furthermore, JHU is known for its translational research and many clinicians have a strong need for reseach MRI as part of their NIH-funded studies. The long-term objectives of the proposed new research MRI are therefore to support NIH-funded projects at JHU across a wide range of disciplines, facilitating improved understanding of diseases and searching for a potential cure. For this application, we have assembled 12 Major Users and 5 Other Users consisting of different organs or clinical conditions (from 8 different NIH ICs). The proposed new research 3T is a Philips MR7700. This decision was made after a careful survey of similar systems by other vendors and a thorough assessment of sequence compatibility and continuity, especially the needs of our Major and Other Users. The new system has several important features when compared to the old system and other products on the market. The system is equipped with digital Stream (dStream) technology in which digital sampling occurs in the RF coil. This results in a SNR increase by 40% which will benefit all Major and Other Users’ projects. The new system has a 70cm bore which is less claustrophobic for patients, causes less discomfort, can accommodate larger patients, and allows a greater field-of-view. This is especially important for Major Users’ projects that involve vulnerable or high-BMI patients. The new MRI system uses a zero-boil off magnet and requires 0 refill of helium. Thus this system is environmentally more sustainable and reduces costs in maintainence and service contract. The new system is equipped with AI and deep learning technology are included in protocol suggestion, automatic planning, and image reconstruction. This improved efficiency in workflow will give all Major Users more time for actual scanning, allowing higher SNR or resolution. Simultaneous multi-slice (SMS) technology will allow faster fMRI and diffusion acquisitions, which are particularly beneficial for brain MRI studies. Collectively, these improved technologies and new features will significantly enhanced the projects of our Major and Other Users.
Grant Summary
State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner is a OD - NIH Office of the Director grant providing up to $2M for university, nonprofit, healthcare org. Applications are due 2027-05-31 (open). Check eligibility and apply with FindGrants.
Focus Areas
Eligibility
How to Apply
Up to $2M
2027-05-31
- 1Confirm your organization is eligible for State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner from OD - NIH Office of the Director, 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 OD - NIH Office of the Director before the deadline.
Don't want to draft it yourself?
We'll draft the complete application against OD - NIH Office of the Director's requirements, run a quality review, and email you a submission-ready PDF plus an editable Word doc within 5 business days. Most orders deliver in 24-48 hours. Flat $399, any grant size.
AI Requirement Analysis
Detailed requirements not yet analyzed
Have the NOFO? Paste it below for AI-powered requirement analysis.
State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner: Frequently Asked Questions
Who is eligible for the State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner?
State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner is offered by OD - NIH Office of the Director 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 State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner provide?
State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner provides up to $2M per award from OD - NIH Office of the Director. 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 State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner deadline?
Applications for State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner are due 2027-05-31 (open). Because deadlines can change, verify the date with the funder, OD - NIH Office of the Director, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner?
To apply for State-of-the-art 3 Tesla research MRI scanner at Johns Hopkins University to replace an end-of-life scanner, 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 OD - NIH Office of the Director.