MRI Physics for Radiographers: From Protons to Pictures
Key Takeaways
- Hydrogen is imaged because it's abundant, magnetically responsive and tracks disease.
- The Larmor frequency (γB₀) sets what the scanner transmits — about 64 MHz at 1.5 T.
- T1 and T2 are tissue properties; TR and TE are how you dial their contrast in.
- k-space is spatial frequency, not a picture — a Fourier transform makes the image.
- Most artifacts are named, understood, and fixable at the console.
Every image you plan on the console rests on the same chain of physics — a proton tipped, a signal induced, a frequency decoded into a pixel. This is that chain, in the order it happens.
Why we image hydrogen
MRI could image several elements; in practice it images hydrogen almost exclusively. Three facts explain why. Hydrogen is abundant — the body is two-thirds water and rich in fat. Its nucleus is a single proton with a large magnetic moment, giving a strong, detectable signal. And because water content shifts with oedema, inflammation and tumour, hydrogen is a natural reporter of disease.
Spin, precession and the Larmor frequency
Every hydrogen proton behaves like a tiny bar magnet. Placed in the scanner's strong static field (B₀), the protons do not simply snap into line — they precess, wobbling around the field like a spinning top. The rate of that wobble is the most important number in MRI, the Larmor frequency (ω₀ = γB₀). For hydrogen γ is about 42.58 MHz per tesla, so at 1.5 T protons precess at roughly 64 MHz — in the radio band.
| Field strength | Larmor frequency (¹H) | Practical note |
|---|---|---|
| 1.5 T | ~64 MHz | Workhorse clinical field |
| 3.0 T | ~128 MHz | Roughly double the signal-to-noise ratio |
| 7.0 T | ~298 MHz | Research and specialist neuro imaging |
Resonance: tipping the magnetisation over
The net magnetisation sits along B₀, but a receiver coil can only detect magnetisation rotating across it. So a radiofrequency pulse (B₁), applied at exactly the Larmor frequency, tips it into the transverse plane. Because B₁ oscillates in step with the precessing protons — resonance — its small torque adds up cycle after cycle. How far the magnetisation rotates is the flip angle: a 90° pulse tips it fully over for maximum signal; a 180° pulse inverts it.
Relaxation: where contrast comes from
The moment the pulse switches off, the system returns to equilibrium by two independent routes — and these are the origin of soft-tissue contrast. T1 relaxation is longitudinal recovery: fat recovers quickly (short T1) and is bright on T1-weighted images. T2 relaxation is transverse decay: fluid dephases slowly (long T2) and is bright on T2 — which is why T2 lights up oedema and most pathology.
The operator's controls: TR and TE
T1 and T2 are fixed properties of tissue. What the radiographer controls is how strongly each shows up, through two timing parameters — TR sets T1 weighting, TE sets T2 weighting.
| Weighting | TR | TE | Result |
|---|---|---|---|
| T1 | Short | Short | Fat bright, fluid dark — anatomy |
| T2 | Long | Long | Fluid bright — pathology |
| Proton density | Long | Short | Contrast by hydrogen count alone |
Spatial encoding and k-space
Resonance and relaxation give a signal, not a picture. Gradients locate it in space: slice selection, phase encoding and frequency encoding. The encoded signal fills k-space, a raw matrix whose centre carries image contrast and whose edges carry fine detail. A Fourier transform — which separates a mixed signal into its component frequencies, like an ear picking single notes out of a chord — converts filled k-space into the grayscale image on the console.
Common pulse sequences
Spin echo uses a 180° refocusing pulse for a true, high-quality T2 image but takes longer. Gradient echo skips it for speed at the cost of T2*-weighting and metal sensitivity. Diffusion-weighted imaging images the random motion of water — the emergency brain sequence, where an acute infarct restricts diffusion and stays bright while normal tissue fades.
Image quality and artifacts
Every MRI image is a compromise between signal-to-noise, contrast and spatial resolution, all against scan time. When an image isn't real anatomy, it's an artifact — and most are fixable at the console once you can name them.
| Artifact | Direction | Cause | Primary fix |
|---|---|---|---|
| Motion / ghosting | Phase | Patient or physiological movement | Saturation bands, phase swap, gating |
| Aliasing / wrap | Phase | Anatomy larger than the field of view | Increase FOV, oversampling |
| Chemical shift | Frequency | Fat–water frequency difference | Wider bandwidth, fat saturation |
| Susceptibility | Both | Metal or air distorting the field | Spin echo, short TE, wide bandwidth |
The chain, end to end
Read it back and the machine stops being a black box. A proton precesses at the Larmor frequency; a resonant pulse tips the magnetisation over; the rotating magnetisation induces a signal; T1 and T2, shaped by TR and TE, give it contrast; gradients encode position and fill k-space; a Fourier transform turns k-space into the image. Every parameter on the console is a lever somewhere on that chain — and knowing which lever moves which outcome is the difference between running a protocol and understanding it.
Frequently Asked Questions
Why does MRI image hydrogen and not another element?
Hydrogen is everywhere in the body — in every water and fat molecule — and its single-proton nucleus has a large magnetic moment, so it returns a strong signal. Because water content changes with disease, hydrogen also reports pathology well.
What is the Larmor frequency?
It is the rate at which protons precess around the main magnetic field, ω₀ = γB₀. For hydrogen γ is about 42.58 MHz per tesla, so at 1.5 T protons precess at roughly 64 MHz — in the radiofrequency range.
What is the difference between T1 and T2 relaxation?
T1 is longitudinal recovery — how quickly magnetisation realigns with the main field. T2 is transverse decay — how quickly spins lose phase coherence. Fat is bright on T1; fluid is bright on T2.
What is k-space?
The raw data matrix the scanner fills before reconstruction. Its centre carries image contrast and its edges carry fine detail. A Fourier transform converts filled k-space into the grayscale image.