Parallel Imaging

  1. Which of the following statements about parallel imaging is false?
    1. It can be used with virtually all pulse sequences.
    2. It requires multiple receiver coils.
    3. It can be performed in any direction.
    4. Its primary purpose is to reduce the number of required phase-encoding steps.

    The allowed direction(s) in which PI can be performed depends on the arrangement of coils in the array. Specifically, the coils must should have different sensitivity profiles along the direction chosen for PI. PI cannot not be used with just a single surface, head, knee, or large body coil having only one pair of quadrature output channels. Link to Q&A discussion

  2. Which of the following is not a disadvantage of parallel imaging?
    1. Increased susceptibility artifacts.
    2. Increased aliasing artifacts.
    3. Coil calibration artifacts.
    4. Increased noise in a non-uniform fashion with reduced SNR.

    Phase-related distortions in the MR signal due to susceptibility are reduced (not increased) by the PI acquisition and reconstruction process. This is especially advantageous in echo-planar sequences. Link to Q&A discussion

  3. Comparing image domain PI techniques (like SENSE/ASSET) and k-space PI techniques like (GRAPPA/ARC), which statement is false?
    1. For high R(acceleration)-values, image domain PI techniques provide slightly higher SNR.
    2. Image domain PI performs better in heterogeneous body regions (like the chest)
    3. K-space PI techniques display less aliasing and are more useful when small FOVs are needed.
    4. K-space PI techniques are more effective at minimizing susceptibility distortions.

    Image domain PI techniques like SENSE/ASSET perform poorly in heterogenous body regions. This is because accurate coil sensitivity maps may difficult to obtain. The lungs are a prime example. Link to Q&A discussion

  4. What is the proper order of steps in acquiring an image-domain PI image (like SENSE/ASSET)? Abbreviations: A = Acquire partial k-space data; G = Generate coil sensitivity maps; R = Reconstruct individual coil images; U = Unfold/combine partial FOV images.
    1. A — G — R — U
    2. G — A — U — R
    3. G — A — R — U
    4. A — G — U — R

    The proper order is Generate/Acquire/Reconstruct/Unfold (c). Link to Q&A discussion

  5. What is the proper order of steps in acquiring an k-space PI image (like GRAPPA/ARC)? Abbreviations: A = Acquire partial k-space data; C = Combine data into magnitude image; E = Estimate missing k-space lines; G = generate individual coil images
    1. A — C — E — G
    2. A — E — G — C
    3. E — A — G — C
    4. E — A — C — G

    The proper order is Acquire/Estimate/Generate/Combine (b). Link to Q&A discussion

  6. Which of the following statements about CAIPIRINHA sequence is false?
    1. It can be classified as an image-domain PI technique.
    2. Acceleration factors (R) of 4 are typical.
    3. It is most commonly used for 3D dynamic liver imaging.
    4. It uses shifting k-space sampling patterns to reduce pixel aliasing and overlap.

    CAIPIRINHA is clearly a k-space (not image domain) PI technique, as it depends on k-space data sampling and manipulation prior to reconstruction. Link to Q&A discussion

  7. What happens to the imaging time in a PI study as the acceleration factor (R) is increased from 2 to 8?
    1. It decreases by a factor of 4
    2. It decreases by a factor of 2
    3. It decreases by a factor of √2
    4. It decreases by a factor of 1/√2

    Imaging time is inversely related to R, so if R quadruples (from 2 to 8), the imaging time is reduced by a factor of 4 Link to Q&A discussion

  8. What happens to the signal-to-noise ratio (SNR) in a PI study as the acceleration factor (R) is increased from 2 to 8?
    1. It decreases by a factor of 4
    2. It decreases by a factor of 2
    3. It decreases by a factor of √2
    4. It decreases by a factor of 1/√2

    SNR is inversely related to √R, so if R quadruples (from 2 to 8), the SNR is reduced by a factor of √4 = 2. Link to Q&A discussion

  9. Which statement about the g-factor is false?
    1. It depends on the number and location of coils.
    2. It depends on the direction of phase-encoding
    3. It varies by location across the image.
    4. Typical values range from about 10 to 100.

    The g-factor depends on 1) number and location of surface coils, 2) coil loading, 3) plane of imaging, 4) direction of phase-encoding within the scan plane, and 5) voxel location within the imaged region. With typical coil designs in common use, g-factors ranging from 1.0 to 2.0 across the imaging volume are commonly measured. Link to Q&A discussion

  10. The g-factor in the middle of a homogenous phantom imaged with PI is 2.0 while that near its periphery is 1.0. How do the SNR of the center and periphery compare?
    1. SNR (center) is one-half as large as SNR (periphery).
    2. SNR (center) is equal to SNR (periphery).
    3. SNR (center) is twice as large as SNR (periphery).
    4. SNR (center) is four times as large as SNR (periphery).

    SNR is inversely related to the g-factor, so if the g-factor doubles, the SNR is only ½ as large. Link to Q&A discussion

  11. Artifacts specific to parallel imaging include all of the following except
    1. Coil sensitivity artifacts
    2. Fold-over (SENSE) ghosts
    3. Chemical shift
    4. Spatially dependent noise

    Chemical shift artifacts are unaffected by the PI reconstruction process and are thus not unique. Link to Q&A discussion

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