Susceptibility Weighted Imaging of the Cervical Spinal Cord with Compensation of Respiratory-Induced Artifact
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Purpose: The objective of this study was to obtain improved susceptibility weighted images (SWI) of the cervical spinal cord using respiratory-induced artifact compensation. Materials and Methods: The artifact from B0 fluctuations by respiration could be compensated using a double navigator echo approach. The two navigators were inserted in an SWI sequence before and after the image readouts. The B0 fluctuation was measured by each navigator echoes, and the inverse of the fluctuation was applied to eliminate the artifact from fluctuation. The degree of compensation was quantified using a quality index (QI) term for compensated imaging using each navigator. Also, the effect of compensation was analyzed according to the position of the spinal cord using QI values. Results: Compensation using navigator echo gave the improved visualization of SWI in cervical spinal cord compared to non-compensated images. Before compensation, images were influenced by artificial noise from motion in both the superior (QI = 0.031) and inferior (QI = 0.043) regions. In most parts of the superior regions, the second navigator resulted in better quality (QI = 0.024, P < 0.01) compared to the first navigator, but in the inferior regions the first navigator showed better quality (QI = 0.033, P < 0.01) after correction. Conclusion: Motion compensation using a double navigator method can increase the improvement of the SWI in the cervical spinal cord. The proposed method makes SWI a useful tool for the diagnosis of spinal cord injury by reducing respiratory-induced artifact.
Abstract
Purpose: The objective of this study was to obtain improved susceptibility weighted images (SWI) of the cervical spinal cord using respiratory-induced artifact compensation. Materials and Methods: The artifact from B0 fluctuations by respiration could be compensated using a double navigator echo approach. The two navigators were inserted in an SWI sequence before and after the image readouts. The B0 fluctuation was measured by each navigator echoes, and the inverse of the fluctuation was applied to eliminate the artifact from fluctuation. The degree of compensation was quantified using a quality index (QI) term for compensated imaging using each navigator. Also, the effect of compensation was analyzed according to the position of the spinal cord using QI values. Results: Compensation using navigator echo gave the improved visualization of SWI in cervical spinal cord compared to non-compensated images. Before compensation, images were influenced by artificial noise from motion in both the superior (QI = 0.031) and inferior (QI = 0.043) regions. In most parts of the superior regions, the second navigator resulted in better quality (QI = 0.024, P < 0.01) compared to the first navigator, but in the inferior regions the first navigator showed better quality (QI = 0.033, P < 0.01) after correction. Conclusion: Motion compensation using a double navigator method can increase the improvement of the SWI in the cervical spinal cord. The proposed method makes SWI a useful tool for the diagnosis of spinal cord injury by reducing respiratory-induced artifact.
참고문헌 (29)
- Thomas B, "Clinical applications of susceptibility weighted MR imaging of the brain - a pictorial review", Neuroradiology, 50, pp.105~116 (2008)
- Wycliffe ND, "Reliability in detection of hemorrhage in acute stroke by a new three-dimensional gradient recalled echo susceptibility-weighted imaging technique compared to computed tomography: a retrospective study", J Magn Reson Imaging, 20, pp.372~377 (2004)
- Haacke EM, "Susceptibility weighted imaging (SWI)", Magn Reson Med, 52, pp.612~618 (2004)
- Wang M, "Susceptibility weighted imaging in detecting hemorrhage in acute cervical spinal cord injury", Magn Reson Imaging, 29, pp.365~373 (2011)
- Mittal S, "Susceptibilityweighted imaging: technical aspects and clinical applications, part 2", AJNR Am J Neuroradiol, 30, pp.232~252 (2009)
- Ishizaka K, "Detection of normal spinal veins by using susceptibility-weighted imaging", J Magn Reson Imaging, 31, pp.32~38 (2010)
- Biber S, "Design of a local shim coil to improve B0 homogeneity in the cervical spine region", Proceedings of the 20th Annual Meeting of ISMRM, 2012, pp.2746~ (2012)
- Hock A, "Electrocardiogram-triggered, higher order, projectionbased B(0) shimming allows for fast and reproducible shim convergence in spinal cord (1)H MRS", NMR Biomed, 26, pp.329~335 (2013)
- Stroman PW, "The current state-of-the-art of spinal cord imaging: methods", Neuroimage, 84, pp.1070~1081 (2014)
- Verma T, "Effect of respiration on the B0field in the human spinal cord at 3T", Magn Reson Med, 72, pp.1629~1636 (2014)
- Holland AE, "Diaphragmatic and cardiac motion during suspended breathing: preliminary experience and implications for breath-hold MR imaging", Radiology, 209, pp.483~489 (1998)
- Ehman RL, "Magnetic resonance imaging with respiratory gating:techniques and advantages", AJR Am J Roentgenol, 143, pp.1175~1182 (1984)
- Anderson AW, "Analysis and correction of motion artifacts in diffusion weighted imaging", Magn Reson Med, 32, pp.379~387 (1994)
- Durand E, "Artifact due to B(0) fluctuations in fMRI:correction using the k-space central line", Magn Reson Med, 46, pp.198~201 (2001)
- Butts K, "Diffusionweighted interleaved echo-planar imaging with a pair of orthogonal navigator echoes", Magn Reson Med, 35, pp.763~770 (1996)
- Song R, "Evaluation of respiratory liver and kidney movements for MRI navigator gating", J Magn Reson Imaging, 33, pp.143~148 (2011)
- Wen J, "On the role of physiological fluctuations in quantitative gradient echo MRI: implications for GEPCI, QSM, and SWI", Magn Reson Med, 73, pp.195~203 (2015)
- Fu ZW, "Orbital navigator echoes for motion measurements in magnetic resonance imaging", Magn Reson Med, 34, pp.746~753 (1995)
- Nam Y, "Physiological noise compensation in gradient-echo myelin water imaging", Neuroimage, 120, pp.345~349 (2015)
- Lee J, "Respiration-induced B0 field fluctuation compensation in balanced SSFP: real-time approach for transition-band SSFP fMRI", Magn Reson Med, 55, pp.1197~1201 (2006)
- Lee H, "SWI of the cervical-spinal cord with respiration noise correction using navigator echo", Proceedings of the 23rd Annual Meeting of ISMRM, 2015, pp.1727~ (2015)
- Balu N, "Comparison between 2D and 3D high-resolution blackblood techniques for carotid artery wall imaging in clinically significant atherosclerosis", J Magn Reson Imaging, 27, pp.918~924 (2008)
- Griswold MA, "Generalized autocalibrating partially parallel acquisitions (GRAPPA)", Magn Reson Med, 47, pp.1202~1210 (2002)
- Jang U, "Improvement of the SNR and resolution of susceptibility-weighted venography by model-based multi-echo denoising", Neuroimage, 70, pp.308~316 (2013)
- Kaufman L, "Measuring signal-to-noise ratios in MR imaging", Radiology, 173, pp.265~267 (1989)
- McGee KP, "Image metric-based correction (autocorrection) of motion effects: analysis of image metrics", J Magn Reson Imaging, 11, pp.174~181 (2000)
- Mortamet B, "Automatic quality assessment in structural brain magnetic resonance imaging", Magn Reson Med, 62, pp.365~372 (2009)
- Hu X, "Reduction of signal fluctuation in functional MRI using navigator echoes", Magn Reson Med, 31, pp.495~503 (1994)
- Wowk B, "k-Space detection and correction of physiological artifacts in fMRI", Magn Reson Med, 38, pp.1029~1034 (1997)