ScanFlo MRI
The MRI console, without the waiting list.
Every timing parameter, every localizer, every trade-off between SNR, resolution and scan time — the complete console workflow, responding the way the magnet does.
Coverage
What learners can drive
| Sequences | Spin echo, fast/turbo spin echo, gradient echo, inversion recovery (STIR, FLAIR), localizers |
| Parameters | TR, TE, TI, flip angle, slice thickness and gap, FOV, matrix, NEX/averages, bandwidth |
| Planning | Slice group positioning on three-plane localizers with Siemens-style workflow and angulation |
| Contrast behavior | T1, T2 and PD weighting emerge from parameter choices — not from picking a preset label |
| Artifacts | Motion, aliasing/wrap, chemical shift, susceptibility — provoked deliberately, then corrected |
| Image evaluation | Window/level discipline, SNR awareness, scan-time budgeting against image quality |
| AI assistance | Study Advisor, sequence plan analysis before you scan, deep-learning image enhancement, AI artefact cleaning |
Inside the console
Real screens, not renders.
Every image below is a capture from the simulator learners actually use.
Physics by doing
Contrast is a decision, not a preset.
Learners don't select “T1-weighted” from a menu — they build it. Set a short TR and short TE and watch T1 contrast appear; stretch the TR and watch it wash out. The intuition that takes months to build on a clinical scanner forms in hours when experiments are free.
- Change one parameter, re-scan, compare — unlimited repeats
- Gray-white matter contrast responds live to TR/TE choices
- Inversion recovery: watch tissue null as TI crosses the null point
- Every experiment costs nothing — no table time, no patient
Workflow realism
Plan like you're standing at the console.
The planning workflow mirrors what learners will meet in the department: three-plane localizers, slice group placement, angulation along anatomy, coverage decisions. When they reach a real scanner, the interface is already familiar.
- Three-plane localizer acquisition before every study
- Slice groups positioned and angled on anatomy
- Protocol tree organization modeled on clinical consoles
- Coverage vs. scan-time decisions with visible consequences
Teaching artifacts
Break the image on purpose.
The fastest way to learn artifact correction is to cause the artifact. Learners provoke wrap-around by shrinking the FOV, create motion ghosts, and see chemical shift move with bandwidth — then apply the fix and verify it worked.
- Aliasing: shrink FOV below anatomy and watch wrap appear
- Chemical shift artifact scales with bandwidth choices
- Motion ghosting demonstrated and corrected
- Each artifact paired with its correction strategy
Go deeper
Every capability, explained properly.
How each part of the console works, what it teaches, and how programs use it.
Sequence library
Every core MRI sequence, with the physics attached.
How it works →Slice planning
Plan on real localizers, exactly like the department console.
How it works →Image viewer & filming
Read what you scanned, then film it like a radiographer.
How it works →Case library
Virtual patients with real acquisition behavior.
How it works →Device licensing
Per-device access that manages itself.
How it works →Progress tracking
Console time and cases completed, visible to the people who need it.
How it works →Study Advisor
From the clinical question to the right protocol.
How it works →Sequence plan analysis
Your protocol, checked against the card before you scan.
How it works →AI image enhancement
Deep-learning reconstruction: less noise, more detail, same acquisition.
How it works →AI artefact cleaning
Provoke the artefact, then let the network clean it.
How it works →Frequently asked questions
Is ScanFlo MRI a real physics simulation or pre-rendered images?+
Image appearance is driven by your parameter choices — TR, TE, TI, flip angle, FOV, matrix and more change contrast, noise and artifacts the way real acquisition physics dictates. It is not a slideshow of fixed images.
What do I need to run it?+
A modern browser on a laptop or desktop. There is nothing to install, and licensing is per-device within your plan.
Which scanner workflow does the console follow?+
The console layout and planning workflow are modeled on Siemens-style systems, which are among the most common platforms learners meet clinically. The physics and skills transfer across vendors.
Is it suitable for complete beginners?+
Yes. Guided cases take a first-time learner from localizer to finished series in about ten minutes, and the case library scales up to advanced protocol and artifact work.
Can instructors see student progress?+
On institutional plans, instructors get cohort views of scans completed, cases finished and skills covered. Individual plans include personal progress tracking.
Put your learners at the console today.
Free student tier. No installs. Runs in any browser.