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Strain–encoded magnetic resonance imaging

Strain–encoded magnetic resonance imaging is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Strain–encoded magnetic resonance imaging rather than just read about it. In short: Strain–encoded magnetic resonance imaging (SENC-MRI) is a magnetic resonance imaging technique for imaging the strain of deforming tissue. It is undergoing testing to diagnose some heart diseases, particularly congenital right ventricle dysfunctions, which are difficult to diagnose.

Key takeaways

  • Strain–encoded magnetic resonance imaging belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Strain–encoded magnetic resonance imaging to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Strain–encoded magnetic resonance imaging from memory before moving on to harder problems.

Reference excerpt

Strain–encoded magnetic resonance imaging (SENC-MRI) is a magnetic resonance imaging technique for imaging the strain of deforming tissue. It is undergoing testing to diagnose some heart diseases, particularly congenital right ventricle dysfunctions, which are difficult to diagnose. It is an improvement on magnetic resonance elastography in that it has a faster imaging time, and less post-processing time, to turn the acquired data into a useful image. To use the technique, the gradient coils in the MRI equipment need to be driven with special pulse sequences, designed for specific tissues, that "tags" deformation of the tissue, such that tissue that deforms more is brighter, or darker, as needed. Using a baseline measurement of normal deformation, the measurements can show unusual amounts of pressure a tissue is exposed to, or indicate that the tissue is unusually stiff or flexible, in either case potentially revealing a pathology. Inventors of the technique, Nael Osman and Jerry Prince, co-founded a company called DiagnoSoft to get regulatory approval for software enabling this technique and others from their academic lab, and make them available to doctors and patients.

See also Harmonic phase (HARP) algorithm

References

Worked examples

Example 1 — a first encounter with Strain–encoded magnetic resonance imaging

Start with the simplest possible case. Write down what Strain–encoded magnetic resonance imaging claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Strain–encoded magnetic resonance imaging before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Strain–encoded magnetic resonance imaging ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Strain–encoded magnetic resonance imaging

In research
Strain–encoded magnetic resonance imaging appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Strain–encoded magnetic resonance imaging in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Strain–encoded magnetic resonance imaging is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cardiac imaging, Magnetic resonance imaging, Medical imaging, so understanding it makes those chapters shorter.
In everyday life
Look for Strain–encoded magnetic resonance imaging outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Strain–encoded magnetic resonance imaging in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Strain–encoded magnetic resonance imaging means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Strain–encoded magnetic resonance imaging out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Strain–encoded magnetic resonance imaging in simple terms?

Strain–encoded magnetic resonance imaging (SENC-MRI) is a magnetic resonance imaging technique for imaging the strain of deforming tissue. It is undergoing testing to diagnose some heart diseases, particularly congenital right ventricle dysfunctions, which are difficult to diagnose.

Why does Strain–encoded magnetic resonance imaging matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Strain–encoded magnetic resonance imaging?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Strain–encoded magnetic resonance imaging.

Tags

  • Cardiac imaging
  • Magnetic resonance imaging
  • Medical imaging

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