Artifacts in CMR
Pedro Ferreira1

1Cardiovascular BRU, Royal Brompton Hospital, London, United Kingdom

Synopsis

Cardiovascular imaging is complicated primarily by the complex nature of the cardiac motion. Many of the cardiac imaging artifacts are directly related to motion or indirectly introduced by the requirement to shorten the acquisition time to remove motion. The complex cardiac structure with mixtures of fat and water based tissues containing complex and varying blood flows, and the large chest region with many organs and tissue-air interfaces also open the door to additional artifacts and measurement errors. Common cardiovascular MR artifacts are presented with a short description of the mechanisms behind them, and possible solutions and trade-offs.

Highlights

Artifacts covered:

. Motion

- Respiratory motion

- Cardiac motion

. Gibbs ringing

. Chemical shift

. B0 field inhomogeneity

Target audience

This presentation is primarily aimed at clinicians but also any scientist interested in learning about frequently found artifacts in cardiovascular MR.

Overview

Common cardiovascular MR artifacts are presented with a short description of the mechanisms behind them, and possible solutions and trade-offs. The material of this talk is covered in more detail in the following review:

Ferreira et al.: Cardiovascular magnetic resonance artifacts. Journal of Cardiovascular Magnetic Resonance 2013 15:41.

Outcome/Objectives

The objective of this presentation is to summarize, in a language accessible to a clinical readership, some of the most frequent artifacts found in cardiovascular MR applications. It will expose the audience to 1) some of the challenges of MR imaging in the chest; 2) the physics behind typical artifacts; 3) diagnostic pitfalls and 4) possible solutions and trade-offs.

Content

Motion

In general, a moving object will change both the phase and magnitude of its k-space; motion during image acquisition will therefore introduce artifacts. Additionally, motion artifacts can also be created by movement between different components of the sequence.

Cardiac motion has been reasonably well controlled over the years by detecting the QRS complex of the ECG and triggering the acquisition at a certain delay following this. Evidently ECG triggering works best when there is low variation between beats; arrhythmias and ectopic heart-beats will therefore potentially cause artifacts.

Respiratory motion is relatively unpredictable and can vary considerably from person to person and from time to time. Acquiring data over the period of a breath-hold has in recent years largely controlled it, although this can translate into a long acquisition window within the cardiac cycle, thus potentially including periods of more rapid cardiac motion. Respiratory gating is another technique that allows the removal of gross respiratory motion artifacts by restricting data acquisition to the expiratory pause, thus enabling longer scans with shorter acquisition windows within the cardiac cycle, which in turn reduces cardiac motion problems.

Motion artifacts examples in more detail:

. Breathing motion

- Phase-encode order considerations (Figure 1)

. Cardiac motion

- Phase-encode order considerations

- Arrhythmias and poor ECG triggering

. Complex blood flow signal loss (Figure 2)

Gibbs ringing

Gibbs ringing, also known as a truncation artifact, is present in every unfiltered MRI image and results from the fact that there is only enough time to acquire a finite region of k-space. When the sampled signal is truncated at the k-space edge and then this k-space is inverse Fourier transformed into the image, ringing will unavoidably be present at high-contrast sharp edges of structures on the image. The ringing is a known mathematical limitation of the Fourier transform.

Gibbs ringing artifact examples:

. First-pass myocardial perfusion (Figure 3)

Aliasing

This artifact occurs whenever the size of the object being imaged exceeds the FOV in the phase-encode direction; the outside regions are wrapped into the opposite edge of the FOV. Due to the need of large FOVs to cover the chest, aliasing is a common problem. If the region of interest is small, for example the heart only, then some wraparound can be acceptable as long as it does not superimpose on the heart. This keeps imaging time short without sacrificing diagnosis and experienced technologists commonly make careful use of this approach. (Figure 4)

Chemical shift

The resonance frequency of water and fat differs by approximately 210 Hz at 1.5 T (420 Hz at 3 T), which causes a number of effects. Firstly, it causes a misregistration between fat and water based tissues along the frequency-encode direction and more so along the perpendicular phase blip direction for EPI sequences. Secondly, it will result in a slice excitation offset between water and fat. Finally, for gradient-echo sequences only, a possible pixel cancellation effect at water-fat boundaries can occur.

Chemical shift artifacts examples:

. TSE frequency encode shift (Figure 4)

. Fat-water signal cancellation on an SSFP sequence.

B0 field inhomogeneity

The main magnetic field is never completely homogeneous over the volume of the heart. B0 field distortions are common at boundaries between tissues, and particularly those between tissue and air such as between the heart and lungs. These B0 field inhomogeneities cause resonance frequency offsets, where the local resonance frequency deviates from the scanner’s reference frequency, leading to off-resonance effects. Depending on the local geometry, and the sequence being used, these field distortions may sometimes be more intense causing artifacts such as signal loss or spatial distortion. In general, to minimize B0-inhomogeneities careful shimming and especially localized scanner frequency adjustments are advised prior to imaging.

B0 field inhomogeneity artifact examples:

. SSFP sequence (Figure 5)

. Medical devices

. EPI sequence

1.5T VS 3T

Cardiac imaging at 3T is becoming increasingly popular due to the potentially higher SNR and CNR (Contrast to Noise Ratio). Although, at higher fields, some of the above mentioned artifacts become even more problematic such as those caused by B0 and B1 field inhomogeneities or chemical shift. There is also a quadruple increase in RF power absorption. Some sequences, such as bSSFP, may have to be used with a reduced flip-angle and higher TR than at 1.5T, which increases B0 inhomogeneity sensitivity. Cardiac gating can also be more challenging at 3T. The higher field strength creates more magnetohydrodynamic distortion of the ECG signal, which can prevent the scanner from gating properly leading to additional artifacts.

Acknowledgements

Dr. Peter D Gatehouse

Prof. Raad H Mohiaddin

Prof. David N Firmin

NIHR Cardiovascular BRU, Royal Brompton Hospital

References

[1] O. Al-Kwifi, J. Stainsby, W. D. Foltz, M. S. Sussman, Y. Huang, and G. a Wright, “Characterizing coronary motion and its effect on MR coronary angiography-initial experience.,” J. Magn. Reson. Imaging, vol. 24, no. 4, pp. 842–50, Oct. 2006.

[2] P. Storey, Q. Chen, W. Li, R. R. Edelman, and P. V Prasad, “Band artifacts due to bulk motion.,” Magn. Reson. Med., vol. 48, no. 6, pp. 1028–36, Dec. 2002.

[3] T. Togawa, O. Okai, and M. Oshima, “Observation of blood flow E.M.F. in externally applied strong magnetic field by surface electrodes.,” Med. Biol. Eng., vol. 5, no. 2, pp. 169–70, Mar. 1967.

[4] P. Ferreira, P. Gatehouse, P. Kellman, C. Bucciarelli-Ducci, and D. Firmin, “Variability of myocardial perfusion dark rim Gibbs artifacts due to sub-pixel shifts.,” J. Cardiovasc. Magn. Reson., vol. 11, p. 17, Jan. 2009.

[5] E. V. R. Di Bella, D. L. Parker, and A. J. Sinusas, “On the dark rim artifact in dynamic contrast-enhanced MRI myocardial perfusion studies.,” Magn. Reson. Med., vol. 54, no. 5, pp. 1295–9, Nov. 2005.

[6] K. Scheffler and S. Lehnhardt, “Principles and applications of balanced SSFP techniques.,” Eur. Radiol., vol. 13, no. 11, pp. 2409–18, Nov. 2003.

[7] S. B. Reeder, A. Z. Faranesh, J. L. Boxerman, and E. R. McVeigh, “In vivo measurement of T*2 and field inhomogeneity maps in the human heart at 1.5 T.,” Magn. Reson. Med., vol. 39, no. 6, pp. 988–98, Jun. 1998.

[8] M. K. Atalay, B. P. Poncelet, H. L. Kantor, T. J. Brady, and R. M. Weisskoff, “Cardiac susceptibility artifacts arising from the heart-lung interface.,” Magn. Reson. Med., vol. 45, no. 2, pp. 341–5, Feb. 2001.

[9] V. L. Sorrell, J. L. Anderson, P. D. Gatehouse, and R. H. Mohiaddin, “Off-frequency tuning error artifact in steady-state free precession cine imaging due to adjacent air-filled bowel.,” J. Cardiovasc. Magn. Reson., vol. 6, no. 3, pp. 709–16, Jan. 2004.

[10] M. Markl, M. T. Alley, C. J. Elkins, and N. J. Pelc, “Flow effects in balanced steady state free precession imaging.,” Magn. Reson. Med., vol. 50, no. 5, pp. 892–903, Nov. 2003.

[11] P. Storey, W. Li, Q. Chen, and R. R. Edelman, “Flow artifacts in steady-state free precession cine imaging.,” Magn. Reson. Med., vol. 51, no. 1, pp. 115–22, Jan. 2004.

[12] P. Ferreira, P. Gatehouse, C. Bucciarelli-Ducci, R. Wage, and D. Firmin, “Measurement of myocardial frequency offsets during first pass of a gadolinium-based contrast agent in perfusion studies.,” Magn. Reson. Med., vol. 60, no. 4, pp. 860–70, Oct. 2008.

[13] P. F. Ferreira, P. D. Gatehouse, and D. N. Firmin, “Myocardial first-pass perfusion imaging with hybrid-EPI: frequency-offsets and potential artefacts.,” J. Cardiovasc. Magn. Reson., vol. 14, p. 44, Jan. 2012.

Figures

Figure 1 - Breathing motion artifacts with two different phase-orders.

This figure shows the artifacts caused by changes in respiratory position at different times during a breath-hold acquisition for an interleaved (top) and sequential (bottom) phase-order.


Figure 2- Complex flow signal loss

Two examples of a systolic frame of a horizontal long axis cine acquisition from two different patients with insufficient mitral valves: a) GRE, b) bSSFP. The jet of signal loss caused by complex flows in the left atrium suggests mitral valve regurgitation (arrows).


Figure 3 - Gibbs ringing

a-b) In vivo short-axis first-pass perfusion example: a) circumferential Gibbs ringing during the first-pass of contrast (arrows); b) the same short-axis plane after the first-pass when Gibbs ringing is no longer noticeable. c) example of Gibbs ringing in a short-axis frame of a bSSFP cine (arrow).


Figure 4 - TSE chemical shift artifacts

a-b) TSE image of a transverse plane through the great vessels above the heart, illustrating chemical shift artifacts between the aortic wall and surrounding fat: a) horizontal frequency-encode, b) vertical frequency-encode. Artifacts are visible in the aortic wall along the frequency-encode direction (arrows). On image b with the frequency-encode direction swapped from a, wraparound artifacts of the patient’s arms into the chest are also visible.


Figure 5 - bSSFP and B0 inhomogeneities: reference frequency

a-d) Series of vertical long axis bSSFP images acquired with different reference frequency offsets: original (0Hz), 50Hz, 100Hz, and 150Hz. Black band and flow artifacts through the ventricle are shown (arrows). As the frequency is adjusted, the artifacts are shifted away from the heart. Image d shows a new flow artifact approaching the heart from the top (blue arrow).




Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)