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Artifacts#

This notebook includes a simulation of various MRI artifacts, as well as a high-level Artifact Comparison below. The wikipedia entry https://en.wikipedia.org/wiki/MRI_artifact is also very comprehensive.

Learning Goals#

  1. Identify artifacts and how to mitigate them

Introduction#

Many of the artifacts that occur in MRI can be understood and analyzed using the k-space perspective. In particular, they can be understood as the k-space data being modified by some function. This is described mathematically in MRI Signal Equation and K-space in the K-space Data Weighting section.

Artifact Comparison#

MRI artifacts can generally be categorized as originating from the sample, the sequence, or the system (Source in table below). The table below provides a high-level comparison of these artifacts.

Artifact Name

Source

Appearance

What to do?

Frequency or Phase encoding

Aliasing

Sequence - FOV too small, or parallel imaging failed

Signal folds across image

Increase FOV, swap PE/FE, reacquire sensitivity maps or reduce acceleration factor (parallel imaging)

Phase encoding

Gibbs Ringing/Truncation

Sequence - due to Fourier encoding of edges

Ripples/ringing at sharp edges

Filtering of data, decrease voxel size

N/A

Boundary Artifacts/Partial Volume

Sequence and Sample - opposing phase of \(M_{XY}\) within a voxel due to inversion or chemical shift

Artificial dark lines at tissue boundaries

fat suppresion, fat/water imaging, change inversion time

N/A

Motion/Flow

Sample - signal modulated during spatial encoding

Copies or “Ghosts” of image regions that are changing due to motion or flow

Breath-hold, gating, triggering, flow compensation, spatial saturation, swap PE/FE

Phase encoding

Image Displacement/Distortion

Sample - chemical shift (fat) and off-resonance (e.g. magnetic susceptibility differences)

Shifts of tissue signals in image, pile-up and stretch artifacts

Increase bandwidths, shimming, fat suppression, fat/water imaging, swap PE/FE

Frequency encoding (2DFT), Phase encoding (EPI)

Slice Displacement

Sample - chemical shift (fat) and off-resonance (e.g. magnetic susceptibility differences)

Slice location shifts

Increase RF bandwidth, shimming, use 3D scanning

N/A

T2*

Sample - magnetic suscpetibility differences (e.g. implants, air)

Signal loss

Use spin-echoes, shorten TE, shimming

N/A

Dielectric Shading

System - RF propogates unevenly, creating B1 inhomogeneity

Shading across entire image, particularly with large FOVs and higher B0

B1-insensitive pulse sequences (e.g. adiabatic pulses), image bias field corrections

N/A

RF interference/Zipper

System - unwanted frequencies received in data

Line of noisy signal on top of image

RF shielding (e.g. close door), check RF hardware, check room lights

At a specific frequency encoding location

Gradient non-linearity

System - magnetic field gradients are not linear, especially away from isocenter

Distortion of subject, particularly near edges of large FOV

Gradient warping correction

N/A

Spike Noise

System - intermittent unwanted signal

Specific spatial frequency on top of entire image

check RF hardware (loose connections, broken components)

N/A