Skip to main content
Top
Published in: Pediatric Radiology 12/2016

01-11-2016 | Original Article

Evaluation of motion and its effect on brain magnetic resonance image quality in children

Authors: Onur Afacan, Burak Erem, Diona P. Roby, Noam Roth, Amir Roth, Sanjay P. Prabhu, Simon K. Warfield

Published in: Pediatric Radiology | Issue 12/2016

Login to get access

Abstract

Background

Motion artifacts pose significant problems for the acquisition of MR images in pediatric populations.

Objective

To evaluate temporal motion metrics in MRI scanners and their effect on image quality in pediatric populations in neuroimaging studies.

Materials and methods

We report results from a large pediatric brain imaging study that shows the effect of motion on MRI quality. We measured motion metrics in 82 pediatric patients, mean age 13.4 years, in a T1-weighted brain MRI scan. As a result of technical difficulties, 5 scans were not included in the subsequent analyses. A radiologist graded the images using a 4-point scale ranging from clinically non-diagnostic because of motion artifacts to no motion artifacts. We used these grades to correlate motion parameters such as maximum motion, mean displacement from a reference point, and motion-free time with image quality.

Results

Our results show that both motion-free time (as a ratio of total scan time) and average displacement from a position at a fixed time (when the center of k-space was acquired) were highly correlated with image quality, whereas maximum displacement was not as good a predictor. Among the 77 patients whose motion was measured successfully, 17 had average displacements of greater than 0.5 mm, and 11 of those (14.3%) resulted in non-diagnostic images. Similarly, 14 patients (18.2%) had less than 90% motion-free time, which also resulted in non-diagnostic images.

Conclusion

We report results from a large pediatric study to show how children and young adults move in the MRI scanner and the effect that this motion has on image quality. The results will help the motion-correction community in better understanding motion patterns in pediatric populations and how these patterns affect MR image quality.
Literature
1.
go back to reference Cote CJ, Wilson S, Work Group on Sedation (2008) Guidelines for monitoring and management of pediatric patients during and after sedation for diagnostic and therapeutic procedures: an update. Paediatr Anaesth 18:9–10CrossRefPubMed Cote CJ, Wilson S, Work Group on Sedation (2008) Guidelines for monitoring and management of pediatric patients during and after sedation for diagnostic and therapeutic procedures: an update. Paediatr Anaesth 18:9–10CrossRefPubMed
2.
go back to reference Becke K, Landsleitner B, Reinhold P et al (2010) Diagnostic and interventional operations in childhood: anesthesiology management. Anaesthesist 59:1013–1020CrossRefPubMed Becke K, Landsleitner B, Reinhold P et al (2010) Diagnostic and interventional operations in childhood: anesthesiology management. Anaesthesist 59:1013–1020CrossRefPubMed
3.
go back to reference Krauss B, Green SM (2008) Training and credentialing in procedural sedation and analgesia in children: lessons from the United States model. Paediatr Anaesth 18:30–35CrossRefPubMed Krauss B, Green SM (2008) Training and credentialing in procedural sedation and analgesia in children: lessons from the United States model. Paediatr Anaesth 18:30–35CrossRefPubMed
4.
go back to reference Schulte-Uentrop L, Goepfert MS (2010) Anaesthesia or sedation for MRI in children. Curr Opin Anaesthesiol 23:513–517CrossRefPubMed Schulte-Uentrop L, Goepfert MS (2010) Anaesthesia or sedation for MRI in children. Curr Opin Anaesthesiol 23:513–517CrossRefPubMed
5.
go back to reference Havidich JE, Beach M, Dierdorf SF et al (2016) Preterm versus term children: analysis of sedation/anesthesia adverse events and longitudinal risk. Pediatrics 137:1–9CrossRef Havidich JE, Beach M, Dierdorf SF et al (2016) Preterm versus term children: analysis of sedation/anesthesia adverse events and longitudinal risk. Pediatrics 137:1–9CrossRef
7.
8.
go back to reference Thesen S, Heid O, Mueller E et al (2000) Prospective acquisition correction for head motion with image-based tracking for real-time fMRI. Magn Reson Med 44:457–465CrossRefPubMed Thesen S, Heid O, Mueller E et al (2000) Prospective acquisition correction for head motion with image-based tracking for real-time fMRI. Magn Reson Med 44:457–465CrossRefPubMed
9.
go back to reference Tisdall MD, Hess AT, Reuter M et al (2012) Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI. Magn Reson Med 68:389–399CrossRefPubMed Tisdall MD, Hess AT, Reuter M et al (2012) Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI. Magn Reson Med 68:389–399CrossRefPubMed
10.
go back to reference Van der Kouwe AJ, Benner T, Dale AM (2006) Real-time rigid body motion correction and shimming using cloverleaf navigators. Magn Reson Med 56:1019–1032CrossRefPubMed Van der Kouwe AJ, Benner T, Dale AM (2006) Real-time rigid body motion correction and shimming using cloverleaf navigators. Magn Reson Med 56:1019–1032CrossRefPubMed
11.
go back to reference Pipe JG (1999) Motion correction with PROPELLER MRI: application to head motion and free-breathing cardiac imaging. Magn Reson Med 42:963–969CrossRefPubMed Pipe JG (1999) Motion correction with PROPELLER MRI: application to head motion and free-breathing cardiac imaging. Magn Reson Med 42:963–969CrossRefPubMed
12.
go back to reference White N, Roddey C, Shankaranarayanan A et al (2010) PROMO: real-time prospective motion correction in MRI using image-based tracking. Magn Reson Med 63:91–105CrossRefPubMedPubMedCentral White N, Roddey C, Shankaranarayanan A et al (2010) PROMO: real-time prospective motion correction in MRI using image-based tracking. Magn Reson Med 63:91–105CrossRefPubMedPubMedCentral
13.
go back to reference Zaitsev M, Dold C, Sakas G et al (2006) Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system. Neuroimage 31:1038–1050CrossRefPubMed Zaitsev M, Dold C, Sakas G et al (2006) Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system. Neuroimage 31:1038–1050CrossRefPubMed
14.
go back to reference Power JD, Barnes KA, Snyder AZ et al (2012) Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59:2142–2154CrossRefPubMed Power JD, Barnes KA, Snyder AZ et al (2012) Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59:2142–2154CrossRefPubMed
15.
go back to reference Van Dijk KR, Sabuncu MR, Buckner RL (2012) The influence of head motion on intrinsic functional connectivity MRI. Neuroimage 59:431–438CrossRefPubMed Van Dijk KR, Sabuncu MR, Buckner RL (2012) The influence of head motion on intrinsic functional connectivity MRI. Neuroimage 59:431–438CrossRefPubMed
16.
go back to reference Yendiki A, Koldewyn K, Kakunoori S et al (2014) Spurious group differences due to head motion in a diffusion MRI study. Neuroimage 88:79–90CrossRefPubMed Yendiki A, Koldewyn K, Kakunoori S et al (2014) Spurious group differences due to head motion in a diffusion MRI study. Neuroimage 88:79–90CrossRefPubMed
17.
go back to reference Reuter M, Tisdall MD, Qureshi A et al (2015) Head motion during MRI acquisition reduces gray matter volume and thickness estimates. Neuroimage 107:107–115CrossRefPubMed Reuter M, Tisdall MD, Qureshi A et al (2015) Head motion during MRI acquisition reduces gray matter volume and thickness estimates. Neuroimage 107:107–115CrossRefPubMed
18.
go back to reference Gholipour A, Polak M, Van der Kouwe A et al (2011) Motion-robust MRI through real-time motion tracking and retrospective super-resolution volume reconstruction. Conf Proc IEEE Eng Med Biol Soc 2011:5722–5725PubMedPubMedCentral Gholipour A, Polak M, Van der Kouwe A et al (2011) Motion-robust MRI through real-time motion tracking and retrospective super-resolution volume reconstruction. Conf Proc IEEE Eng Med Biol Soc 2011:5722–5725PubMedPubMedCentral
19.
go back to reference Likert R (1932) A technique for the measurement of attitudes. Arch Psych 22:1–55 Likert R (1932) A technique for the measurement of attitudes. Arch Psych 22:1–55
20.
go back to reference Maclaren J, Herbst M, Speck O et al (2013) Prospective motion correction in brain imaging: a review. Magn Reson Med 69:621–636CrossRefPubMed Maclaren J, Herbst M, Speck O et al (2013) Prospective motion correction in brain imaging: a review. Magn Reson Med 69:621–636CrossRefPubMed
21.
go back to reference Gholipour A, Afacan O, Aganj I et al (2015) Super-resolution reconstruction in frequency, image, and wavelet domains to reduce through-plane partial voluming in MRI. Med Phys 42:6919–6932CrossRefPubMed Gholipour A, Afacan O, Aganj I et al (2015) Super-resolution reconstruction in frequency, image, and wavelet domains to reduce through-plane partial voluming in MRI. Med Phys 42:6919–6932CrossRefPubMed
22.
go back to reference Gholipour A, Estroff J, Warfield SK (2010) Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI. IEEE Trans Med Imaging 29:1739–1758CrossRefPubMedPubMedCentral Gholipour A, Estroff J, Warfield SK (2010) Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI. IEEE Trans Med Imaging 29:1739–1758CrossRefPubMedPubMedCentral
24.
Metadata
Title
Evaluation of motion and its effect on brain magnetic resonance image quality in children
Authors
Onur Afacan
Burak Erem
Diona P. Roby
Noam Roth
Amir Roth
Sanjay P. Prabhu
Simon K. Warfield
Publication date
01-11-2016
Publisher
Springer Berlin Heidelberg
Published in
Pediatric Radiology / Issue 12/2016
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-016-3677-9

Other articles of this Issue 12/2016

Pediatric Radiology 12/2016 Go to the issue

Hermes

Hermes