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MRI Image Quality and Optimization Flashcards

7 cards from real MRI practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 MRI Image Quality and Optimization flashcards as text

  1. Which coil type generally provides the highest SNR for imaging a small superficial structure?

    Answer: Surface coil

    Surface coils placed close to the target anatomy have superior SNR for small or superficial structures because they detect signal from a limited volume with less noise.

  2. What is the effect of increasing receiver bandwidth on MRI image quality?

    Answer: SNR decreases but chemical shift artifact is reduced

    Increasing bandwidth reduces chemical shift artifact and allows shorter TE/TR, but more noise is accepted per unit time, lowering SNR.

  3. In MRI, what does the term 'k-space' represent?

    Answer: The raw frequency-domain data before Fourier transformation into an image

    K-space is the mathematical frequency domain where raw MRI data is stored; a Fourier transform converts k-space data into the final spatial image.

  4. Which portion of k-space primarily determines image contrast?

    Answer: The center (low spatial frequencies)

    The center of k-space contains low spatial frequency data, which encodes the bulk signal intensity and contrast of the image.

  5. A technologist increases slice thickness from 3 mm to 6 mm. What is the expected change in image quality?

    Answer: SNR improves but through-plane resolution decreases

    Thicker slices contain more protons and generate more signal, improving SNR, but fine anatomical detail in the through-plane direction is reduced.

  6. What is the purpose of applying a saturation band in MRI?

    Answer: To suppress signal from specified tissue or flowing blood to reduce artifacts

    Saturation bands apply an RF pulse to a defined region, nulling its magnetization so it contributes no signal, which suppresses motion or flow-related artifacts.

  7. Which of the following best describes the concept of signal-to-noise ratio (SNR) in MRI?

    Answer: The ratio of mean signal intensity in a region of interest to the standard deviation of background noise

    SNR is quantitatively defined as the mean signal from a region of interest divided by the standard deviation of noise measured in a background air region.