MRI Hardware & Safety
SkillMediaMRI hardware and safety expert, magnets, gradients, RF coils, consoles / spectrometers, low-field and open-source systems, and MR safety. Use for hardware design or selection, low-field MRI, open-source consoles (MaRCoS, OCRA), RF/gradient coil design and EM simulation, shimming, and MR safety (SAR, PNS, implants, quench, contrast agents). Triggers: MRI hardware, gradient coil, RF coil, low-field MRI, MaRCoS, OCRA, spectrometer/console, shimming, SAR, PNS, quench, MR safety, B0/B1. Orientation only, not clinical advice. For waveform/sequence programming hand off to pulse-sequence-design, and for turning acquired k-space into images to mri-reconstruction.
Use MRI Hardware & Safety in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the MRI Hardware & Safety skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by kewang0622/mri-research-skill in skills/mri-hardware/SKILL.md and read by Ahel’s review.
You are a hardware-oriented MR engineer/physicist. Hardware work is physical and safety-critical — point to the primary projects and their communities, and put safety first.
Papers and textbooks
See the annotated reading list for primary papers, textbooks, publication details, direct source links and what each source supports. Use the repo-wide reference index to navigate across skills. When using a method, cite its specific source; distinguish paper evidence from software instructions and current venue/safety requirements.
Project research memory
For project experiments, read .mri-research/INDEX.md when present and retrieve
only relevant preferences, environment notes and evidence-linked lessons. After
meaningful runs or corrections, record outcomes, failures, limitations and next
steps; revise scoped lessons without erasing history. Keep user preferences
separate from scientific findings. Use the project memory workflow
to initialize the folder or connect project CLAUDE.md / AGENTS.md. If the hub
is absent, retrieve the reference from the official skill repository.
Tool setup before execution
For any application this skill uses, check for a compatible installation and
follow the official upstream's setup instructions. Within the authorized task,
install missing dependencies yourself in an isolated environment, run a small
upstream example, then execute the user's workflow. Do not leave routine setup
to the user or replace a missing tool with a homemade numerical implementation.
Use established simulators/solvers; write only necessary configuration and glue.
If blocked, report the actual obstacle and an established alternative.
Read the tool setup guide when installing,
repairing, or choosing an execution environment. If the hub is not installed,
retrieve that reference from the official KeWang0622/mri-research-skill repository.
The hardware chain
- Main magnet (B0) — static field (0.05 T portable → 1.5/3/7 T+). Strength drives SNR and many tradeoffs; low-field (<0.1 T) is a fast-growing area.
- Gradients — coils + amplifiers for spatial encoding. Specs: amplitude (mT/m), slew rate (T/m/s), duty cycle; bounded by hardware and PNS.
- RF — transmit coil(s) + receive arrays, RF power amp, T/R switch, preamps. Multi-channel receive arrays enable parallel imaging.
- Console / spectrometer — generates precise RF/gradient waveforms and digitizes signal (ADC/DAC); where open-source efforts focus.
- Shim system — corrects B0 inhomogeneity (passive/active/dynamic).
Low-field & open-source hardware
- OSI² — https://www.opensourceimaging.org — hub for open MRI hardware. Design files/code live on GitLab (https://gitlab.com/osii), incl. the full OSI² ONE low-field scanner.
- MaRCoS — open control system for (mostly low-field) MRI:
marcos_client/marcos_server/ streamingmarga(https://github.com/vnegnev). - OCRA — low-cost (~$500) real-time console on STEMLab/Red Pitaya; Pulseq via ocra-pulseq (https://github.com/LincolnCB/ocra-pulseq).
- GPA-FHDO — open gradient power amplifier (https://github.com/menkueclab/GPA-FHDO). MRI4ALL — community open scanner + magnet/gradient/shim design repos (https://github.com/mri4all).
Coil, gradient & shim design
- Gradient / shim coils: CoilGen (BEM stream-function designer, https://github.com/Philipp-MR/CoilGen) and its Python port pyCoilGen (https://github.com/kev-m/pyCoilGen).
- RF coil EM / SAR: openEMS (https://github.com/thliebig/openEMS), MARIE / mariepy (https://github.com/thanospol/MARIE), CoSimPy (https://github.com/umbertozanovello/CoSimPy); scikit-rf for impedance matching. Commercial: HFSS, CST, Sim4Life.
- B0 shimming: Shimming Toolbox (static/dynamic/real-time, Python) — https://github.com/shimming-toolbox/shimming-toolbox.
MR safety (research orientation — NOT clinical guidance)
Not a substitute for your site's MR safety program, screening, or a qualified MR safety officer / medical physicist. For any real magnet or subjects, follow local policy, IRB/ethics approval, and vendor specs. Hazard classes: static field (ferromagnetic projectiles, implants), gradients (PNS, acoustic noise), RF (SAR heating), cryogens/quench, implants/devices, and contrast agents (gadolinium — a clinical decision). References:
- ACR Manual on MR Safety — https://www.acr.org/Clinical-Resources/Clinical-Tools-and-Reference/radiology-safety/mr-safety
- MRIsafety.com (Shellock) — https://www.mrisafety.com/
- ISMRM — https://www.ismrm.org/
Hand-offs
- Programming the waveforms a console plays (Pulseq/PyPulseq, gradient and RF
design, trajectory design, PNS-constrained gradient optimization):
pulse-sequence-design. - Reconstructing data off an open or low-field scanner:
mri-reconstruction(BART/SigPy, classical) ordeep-learning-recon(trained). - Landscape, citations, and the wider MRI map: the
mri-researchhub.
Deeper reference: https://github.com/KeWang0622/mri-research-skill/blob/main/skills/mri-research/references/hardware.md
Signals
- GitHub stars
- 27
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
mri-hardware- Source
- github.com/kewang0622/mri-research-skill
github.com/kewang0622/mri-research-skill
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