imr-framework

Focus

The Accessible Magnetic Resonance Laboratory (AMRL) is a research group that focuses on developing and deploying MRI tools and methods to enable accessible imaging of pediatric patients with cancer, infectious diseases or mental health challenges. We are a part of the Division of Cancer Imaging Research at Johns Hopkins University.

Projects

Want to work on advancing accessible MRI? Check out our research projects below.

Tools

Check out some cool open source tools we have built here.

Education

Want to learn more about MR? Check out our educational initiatives here.

Ongoing Projects

Practical magnetic resonance imaging for all

Learn, Design, Build, Scan - DIY MRI for all.

Sponsor: JHU Provost's DELTA Award

Design and development of 0.2T portable MR systems

Successful design and development of a portable 0.2T MRI for the head and spine will yield structural, functional and metabolic MRI capabilities required for downstream clinical use in an accessible manner.

Sponsor: Medirays Pvt. Ltd.

Accessible imaging of high consequence pathogens

Tracking brain changes due to infection in restricted environments require portable solutions providing image quality similar to clinical scanners

Sponsor: None

Tracking structural brain changes at 0.05T

Tracking brain changes using low-field MRI at 3T performance will enable monitoring of neurological disorders in rural settings

Sponsor: National Institute of Mental Health (NIMH)

Making open-source, vendor-neutral MRI more robust and accessible using Pypulseq

Major updates to the Pypulseq library will make it more robust and accessible to the MRI community

Sponsor: National Institute of Biomedical Imaging and Bioengineering (NIBIB)

Automated response assessment in pediatric neuro-oncology (Auto-RAPNO)

Automating the workflow for RAPNO will augment neuro-oncologists in rural settings

Sponsor: PMX Inc.

Past Projects

Indian National Mission on Indigenous 1.5T MRI - Academic and prototyping site

We were involved in building a 1.5T MRI from scratch indigenously in India.

Pediatric brain tumor imaging using tailored MR Fingerprinting

We developed a non-synthetic approach to simultaneously obtain multiple qualitative and qunatitative MR images. We designed, implemented and evaluated the sequence on pediatric brain tumor patients

Featured Publications

1) Geethanath, S., Artiges, A., Block, K.T., Chen, Q., Fernandes, T.F., Ganji, S., Grissom, W.A., Hoinkiss, D., Vaughan Jr, J.T., Konar, A.S. and Konstandin, S., et al., 2025. Validating and Sharing Open-Source and Vendor-Neutral Pulse Sequence Programs - A Practical Approach. In MRI Pulse Sequences - Physics, Methods and Clinical Applications (pp. 313-322). Cham - Springer Nature Switzerland. [Article]

2) Oiye, I.E., Poojar, P., Qian, E., Vaughan, J.T. and Geethanath, S., 2025. A standalone and cost-effective MR-compatible computer numerical control machine for simultaneous, multi-parameter mapping. Measurement Science and Technology, 36(4), p.045902. [Article]

3) Manso Jimeno, M., Ravi, K.S., Fung, M., Oyekunle, D., Ogbole, G., Vaughan Jr, J.T. and Geethanath, S., 2025. Automated detection of motion artifacts in brain MR images using deep learning. NMR in Biomedicine, 38(1), p.e5276. [Article]

4) Block, K.T., Zhang, C., Ciancia, V., Cooley, C., Geethanath, S., Stockmann, J., Verghese, G. and Alon, L., 2025. MRI4ALL - A Week‐Long Hackathon for the Development of an Open‐Source Ultra‐Low‐Field MRI System. Journal of Magnetic Resonance Imaging. [Article]

5) Poojar, P., Oiye, I.E., Aggarwal, K., Jimeno, M.M., Vaughan, J.T. and Geethanath, S., 2024. Repeatability of image quality in very low‐field MRI. NMR in Biomedicine, 37(10), p.e5198. [Article]