MRI · Artifacts

MRI Artifacts: Susceptibility, Chemical Shift, Wraparound

In MRI the image depends on the magnetic field and the radiofrequency signal being perfect; yet neither is. Metal, tissue–air boundaries, patient motion and signal processing each produce their own artifact. We cover MRI artifacts by Bushberg's classification — machine-, patient- and signal-processing-related — with physics, animations and page citations. This is the MRI deep-dive companion to our general artifacts guide.

MRI produces a correct image only if two things are perfect: a uniform magnetic field across the whole field of view, and a clean radiofrequency (RF) signal. In reality neither is perfect. A metal implant bends the field, a tissue–air boundary erases signal, patient motion creates ghosts, and signal processing itself produces rings. This is the MRI deep-dive companion to our general artifacts guide.

Classifying artifacts

Bushberg divides MRI artifacts into three broad groups:1

A non-uniform field causes tissues to be mismapped in the image; this is why shimming, self-shielded magnets and regular maintenance are the foundation of MRI quality assurance.1

Magnetic susceptibility

Magnetic susceptibility is the ratio of a tissue's induced internal magnetization to the external field. If susceptibility varies little across the FOV the field stays uniform; but a sharp change distorts it.1 The most common change occurs at tissue–air interfaces (lungs, sinuses), causing signal loss from faster T2* dephasing; any metal (ferrous or not) also creates marked distortion in nearby tissue.1 Interestingly, susceptibility is sometimes diagnostically helpful: the susceptibility effects of hemorrhage products (deoxyhemoglobin, methemoglobin, hemosiderin) help date a bleed as acute/subacute/chronic.1

Susceptibility → field distorts → signal lossmetal / airuniform field linessignal void (T2* dephasing)
Metal or a tissue–air boundary bends the surrounding uniform field; faster T2* dephasing leaves a signal void (dark region) and geometric distortion. Spin-echo (180°) sequences reduce this.1
In the clinic
Signal loss around a dental filling, an aneurysm clip, or at tissue–air boundaries (paranasal sinuses, temporal bone) can be mistaken for a real lesion or a bleed. The reverse is also true: GRE/SWI sequences deliberately use this effect to reveal microhemorrhages and calcifications. The same artifact is both a pitfall and a diagnostic tool.

Chemical shift

Protons in fat and water precess at slightly different (Larmor) frequencies. Because MRI reads position from frequency, this small frequency difference shifts fat by a few pixels relative to water along the frequency-encoding direction.1 The result is a dark band on one side of the fat–water boundary and a bright band on the other — classically seen at kidney or vertebral margins. The shift magnitude varies with field strength and the chosen bandwidth.

Chemical shift · fat shifts along frequency directionwaterfat (true position)dark bandbright bandfrequency-encoding direction
Because fat protons precess at a slightly different frequency than water, the fat signal shifts along the frequency-encoding direction; a dark band forms on one side of the boundary and a bright band on the other.1
In the clinic
The dark/bright band at a kidney–fat or vertebral boundary can be mistaken for a real margin. The same physics is turned around: in-/opposed-phase imaging uses chemical shift to detect an adrenal adenoma or hepatic steatosis.

Wraparound

Anatomy outside the field of view (FOV) but within the slice volume is not ignored; it is mapped onto the opposite side.1 The cause is undersampling (aliasing): signals outside the FOV lie above the Nyquist limit and are interpreted as if they were low-frequency, "wrapping" to the far edge of the image. It is typically seen along the phase-encoding direction; reduced by enlarging the FOV or applying an anti-aliasing saturation pulse outside it.1

FOVoutside FOV(right side)right-side anatomy "wraps" to the left
Anatomy that does not fit in the FOV is mapped onto the opposite edge due to undersampling. Remedy: a larger FOV or an anti-aliasing saturation pulse.1
In the clinic
In small-FOV cervical or extremity exams, anatomy outside the FOV (a nose, the opposite arm) can fold onto the region of interest and obscure or mimic pathology. A larger FOV or a saturation pulse prevents it.

Motion and ghosting

Motion is MRI's most ubiquitous and noticeable artifact: voluntary/involuntary movement and flow (blood, CSF).1 The long acquisition time of some sequences raises the chance of motion blur and contrast loss. Motion artifacts appear mostly along the phase-encoding direction, because adjacent phase-encoding measurements in k-space are separated by a TR interval (which can be 3,000 ms or longer), so even slight motion changes the recorded phase over that time.1 The visual result is faint copies arrayed along the phase-encode direction — ghosting. The frequency-encoding direction is less affected. The simplest remedy is to swap the phase and frequency encoding gradients (PEG/FEG) to move the ghosts away from the region of interest.1

In the clinic
Respiratory and vascular pulsation ghosts can overlie organs along the phase-encoding direction; aortic pulsation, for instance, can create a false appearance that leads to misinterpretation. Swapping the phase and frequency encoding directions moves the ghost away from the region of interest.

Ringing (Gibbs)

Ringing (the Gibbs phenomenon) is a set of faint parallel lines near sharp boundaries.1 Its cause is the lack of high-frequency signals in k-space needed to represent a sharp transition; so it is more pronounced at small matrix sizes (e.g. 128 instead of 256).1 It is typically seen at the skull–brain boundary, and increasing the matrix size is the most direct fix.

In the clinic
Ringing along the spinal cord can mimic a false central-canal appearance (a pseudo-syrinx) — a classic pitfall. Increasing the matrix size resolves the lines.

RF and machine

RF interference leaves its own patterns: narrow-band noise produces a zipper pattern perpendicular to the frequency-encoding direction, while broadband noise produces a herringbone pattern.1 The remedy is proper site planning and RF-shielding the room with a Faraday cage.1 Because these are machine/environment artifacts, their solutions lie on the engineering and quality-assurance side.

Related articles
General artifacts guide: What Are Image Artifacts? · CT artifacts: CT Artifacts · Modality principles: How Do Modalities See?

References

  1. Bushberg JT, Seibert JA, Leidholdt EM, Boone JM. The Essential Physics of Medical Imaging, 3rd ed. Lippincott Williams & Wilkins, 2011. §13.5 MR Artifacts (s.475–486): sınıflama — makine/hasta/sinyal işleme (s.475); manyetik duyarlılık (susceptibility) — doku–hava arayüzü ve metal, T2* faz kaybı (s.475–476, Şekil 13-24); hareket artefaktları — faz kodlama yönü, akış (kan/BOS), hayalet (ghosting), PEG/FEG değişimi (s.480, Şekil 13-29); kimyasal kayma (s.480); halkalanma/Gibbs — matris boyutu (s.484, Şekil 13-37); katlanma/wraparound (s.485–486, Şekil 13-38); RF zipper/herringbone ve Faraday kafesi (s.477–478, Şekil 13-44). Sayfa numaraları bu baskıya aittir.
  2. IAEA. Diagnostic Radiology Physics: A Handbook for Teachers and Students (STI/PUB/1564), 2014 — MR fiziği, kalite güvencesi ve artefaktlar (Bölüm 14). iaea.org
  3. Genel artefakt çerçevesi için bkz. Görüntü Artefaktları Nedir?; MR'ın çalışma prensibi için bkz. Modaliteler Nasıl Görür?
Note: This content is for education; for clinical decisions or regulatory compliance, consult a qualified medical physicist and current regulations.

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