Elsevier

NeuroImage

Volume 63, Issue 1, 15 October 2012, Pages 533-539
NeuroImage

Rapid whole cerebrum myelin water imaging using a 3D GRASE sequence

https://doi.org/10.1016/j.neuroimage.2012.06.064Get rights and content

Abstract

Myelin water imaging, a magnetic resonance imaging technique capable of resolving the fraction of water molecules which are located between the layers of myelin, is a valuable tool for investigating both normal and pathological brain structure in vivo. There is a strong need for pulse sequences which improve the quality and applicability of myelin water imaging in a clinical setting. In this study, we validated the use of a fast multi echo T2 relaxation sequence for myelin water imaging. Using a multiple combined gradient and spin echo (GRASE) technique, we attain whole cerebrum myelin water images in under 15 minutes. Region of interest analysis indicates that this fast GRASE imaging sequence produces results which are in good agreement with pure spin echo measurements (R2 = 0.95, p < 0.0001). This drastic improvement in speed and brain coverage compared to current spin echo standards will allow increased inclusion of myelin water imaging in neurological research protocols and opens up the possibility of applications in a clinical setting.

Highlights

► A new MR pulse sequence for myelin water imaging is demonstrated. ► Results using this method are in agreement with current literature values. ► Acquisition time is significantly reduced while brain coverage is increased. ► This method will permit increased investigation of myelin in the brain.

Introduction

Myelin water imaging (MWI) is an increasingly active field of magnetic resonance imaging (MRI) research. The ability to generate maps of the myelin water fraction (MWF) from a human brain in vivo enables clinicians and researchers alike to directly examine the myelination state of white matter in the central nervous system (CNS). As myelin is of great importance in the CNS and there are many known diseases which lead to degradation of the myelin sheath which surrounds white matter neurons (Barkovich, 2000), most notably multiple sclerosis (MS), MWI is a valuable tool in the investigation of the patho-physiological causes and possible treatments of white matter diseases.

The majority of MWF maps are created via multicomponent T2 analysis. That is, decay curves from multi echo spin echo images exhibiting T2 contrast are decomposed into discrete T2 components to create a T2 distribution (MacKay et al., 1994, Whittall et al., 1997) whereby no a priori assumptions are made about the number of contributing components. A short T2 component (corresponding to water within the myelin sheath) may then be identified and its magnitude normalized to the total water signal, yielding a value for the MWF between zero and one. Post mortem MRI-pathology correlation studies in both CNS tissue (Kozlowski et al., 2008, Laule et al., 2006, Laule et al., 2008) and animal peripheral nerve (Webb et al., 2003) have demonstrated a good quantitative relationship between the MR-derived MWF and histological staining for myelin.

Spatially resolved data required for multi-component T2 analysis are usually acquired with multi spin echo (MSE) based image sequences (MacKay et al., 1994, Poon and Henkelman, 1992). However, in order to prevent magnetization transfer effects from exciting multiple slices (Vavasour et al., 2000), these images should be acquired in 3D, potentially resulting in long data acquisition times. If MWI is to become a commonplace tool in clinical imaging or research that can be used in conjunction with other MR-imaging modalities that exhibit full brain coverage with isotropic voxel size, e.g. functional MRI, diffusion tensor imaging, magnetization transfer imaging, etc., whole brain data at reasonable spatial resolution must be acquired within clinically feasible scan durations (< 15 minutes).

A combined gradient and spin echo sequence known as gradient and spin echo (GRASE) (Feinberg and Oshio, 1991) has previously been used to accelerate clinical MR acquisitions (Fellner et al., 1995, Fellner et al., 1997, Melhelm et al., 1998, Patel et al., 1995, Rockwell et al., 1997, Umek et al., 1998). By acquiring multiple gradient echoes per refocusing pulse on either side of the spin echo, an accelerated acquisition trajectory may be realized which exhibits pure T2 weighting in the k-space centre (spin echo signal) and T2 weighting in the k-space periphery (gradient echo signal). Some researchers reported that GRASE was less effective in the detection of small or hypointense lesions (Patel et al., 1995, Umek et al., 1998), and produced images with lower signal to noise ratio (SNR) and less pronounced contrast (Fellner et al., 1995, Fellner et al., 1997). However, others found that GRASE showed better detection of lesions, especially those with low signal (Melhelm et al., 1998) or those which exhibited paramagnetic susceptibility characteristics (Rockwell et al., 1997). Although not necessarily in agreement about all factors, all authors point out that in circumstances where rapid scanning is indicated, GRASE is very useful. Rockwell et al. go as far as to say that GRASE is a potential replacement for turbo spin echo in routine MRI of the brain (Rockwell et al., 1997).

A similar gradient and spin echo sequence has also been used to collect data for multiexponential T2 analysis (Does and Gore, 2000). This sequence demonstrated dramatic decreases in scan time while maintaining good agreement of multiexponential T2 parameters compared to a conventional spin echo acquisition.

Mädler (Mädler and MacKay, 2007) introduced whole brain MWI based on 3D-GRASE. Due to both hardware and software limitations at that time, scan times required for whole brain coverage were on the order of 20 to 30 minutes. We were able to improve scan efficiency of a similar acquisition to less than 15 minutes. In this study we demonstrate whole cerebrum imaging in a scan time under 15 minutes and also compare myelin water fraction results from the 3D-GRASE sequence with results from the 3D-MSE technique (Mädler and MacKay, 2006).

Section snippets

Material and methods

All MR imaging experiments were performed on a 3.0 T whole body MR scanner (Achieva 3.0T, Philips Medical Systems, Best, The Netherlands) using an eight-channel phased-array head coil for reception and the quadrature body coil for transmission. All examinations were performed with approval from our institution's ethical review board, and all subjects provided signed, informed consent prior to participation.

Comparison of MSE and GRASE

Correlation analysis results are displayed in Fig. 1. We observed that MWF values correlated extremely well between the two sequences (R2 = 0.99, p < 0.0001). However, as can be observed from the slope of the fit in Fig. 1(a) (slope = 1.1065) and the non-zero slope of the fit in Fig. 1(b) (slope = 0.107), there was a small bias. For MWF greater than approximately 0.1, GRASE tended to overestimate the MWF as compared to MSE. However, for most of the range of MWF found in white matter, GRASE yielded MWF

Discussion and conclusion

Myelin water imaging has been and continues to be a rapidly evolving field. Scientists keep finding ways to apply this technique to answer new research questions. However, its use in the clinical realm has generally been restricted by the long acquisition times and poor brain coverage previously attained. With use of the GRASE sequence, we have provided a means of making MWI possible as part of clinical patient MRI evaluations as well as subject examinations in neuroscience research studies.

Acknowledgments

This work was supported in part by NSERC grants held by A. Rauscher and A. L. MacKay. A. Rauscher is the recipient of a CIHR New Investigator Award. C. Laule is the recipient of the Women Against MS (WAMS) endMS Research and Training Network Transitional Career Development Award from the Multiple Sclerosis Society of Canada. We wish to acknowledge the continued research support at our site by Philips Healthcare. Lastly, thank you to the volunteers and MRI technologists.

References (37)

  • S.C.L. Deoni et al.

    Gleaning multicomponent T1 and T2 information from steady-state imaging data

    Magn. Reson. Med.

    (2008)
  • D.A. Feinberg et al.

    GRASE (gradient- and spin-echo) MR imaging: a new fast clinical imaging technique

    Radiology

    (1991)
  • F. Fellner et al.

    Comparison of spin-echo MR pulse sequences for imaging of the brain

    Am. J. Neuroradiol.

    (1997)
  • S.H. Kolind et al.

    Myelin water imaging: implementation and development at 3.0T and comparison to 1.5T measurements

    Magn. Reson. Med.

    (2009)
  • P. Kozlowski et al.

    Characterizing white matter damage in rat spinal cord with quantitative MRI and histology

    J. Neurotrauma

    (2008)
  • C. Labadie et al.

    Detection of the myelin water fraction in 4T longitudinal relaxation data by cross-regularized inverse laplace transform

  • C. Labadie et al.

    Comparison of myelin water fraction in cross-regularized T1-relaxograms of normal white matter at 3T and 7T and of normal-appearing white matter at 3T

  • C. Laule et al.

    Water content and myelin water fraction in multiple sclerosis

    J. Neurol.

    (2004)
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