Accessible Magnetic Resonance Laboratory
The intelligent MR framework
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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

This educational project will overcome access limitations and deliver a seminal, cutting-edge curriculum using an online game-based digital platform that allows students to build and play with their own educational MR scanner.

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.

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


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


Tools

amri

Autonomous Magnetic Resonance Imaging (AMRI)


These methods transform an MRI scanner into an intelligent physical system

epg

Extended Phase Graphs


Useful in simulating multi-echo pulse sequences

mrf

Magnetic Resonance Fingerprinting


Obtain multi-parameteric quantitative MRI maps from a single acquisition

Virtual Scanner Games

Web games to learn MRI


Play eight games and learn the fundamentals of MRI

pypulseq

Pulseq on Python


The popular tool to develop vendor-neutral pulse sequence programs

sar4seq

SAR simulation


Simulate specific absorption rate values for open source pulse sequences

spiral-fmri

fMRI stack of spirals - PRESTO technique


Pulseq based cross-vendor implementations on GE and Siemens scanners

virtual-scanner

Virtual scanner


Our simulator that powers multiple other projects such as the Digital Twin

FMR

Field mapping robot


Highly scalable, simultaneous parameter mapping using a CNC

Team

Sairam Geethanath

Principal Investigator

Ivan Etoku Oiye

Trainee (BSc, Biomedical Engineering)

Ajay Sharma

Post-doctoral Fellow

Alumni

Shounak Nandi

Neuroimaging researcher, Albert Einstein College of Medicine

Kunal Aggarwal

Master's thesis, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

Marina Jimeno Manso

Clinical Imaging Scientist, Novartis

Keerthi Sravan Ravi

Senior AI Scientist, GE Healthcare

Enlin Qian

Post-doctoral Fellow, Dr. Ricardo Otazo Lab, Memorial Sloan Kettering Cancer Center

Pavan Poojar

Post-doctoral Fellow, Dr. Hurd Lab, Icahn School of Medicine at Mount Sinai

Rakshith Shanbhag

Product Manager, Sysmex Europe

Nutandev Bikkamane Jayadev

Research Scientist, Siemens Healthineers

Imam Ahmed Shaik

General Manager, Siemens Healthineers

Amaresha Shridhar Konar

MR Platform Team Lead, Columbia University in the City of New York

Ssentamu Tonny

Graduate Research Student, King's College London

Rahul Ramesh

AI Researcher, Siemens Healthineers

Vineet Vinay Bhombore

Research Scientist, Siemens Healthineers

Nishika Girish

James Scholar, University of Illinois at Urbana-Champaign (UIUC)

Rishi Ananth

Honors, Chemistry, University of Washington at Seattle

Alvin Kombawa

MASc, Biomedical Engineering, University of British Columbia (UBC)

Sai Abitha Srinivas

Principal MR Systems Engineer, Adialante

Arush Honnedevasthana Arun

Research Fellow, The National Imaging Facility

Manoj B

MRI Pulse Programming R&D, Philips Healthcare

Jayashree Ganguly

Senior Development Engineer, Philips Innovation Campus