Cervical spinal cord MTR histogram analysis in multiple sclerosis using a 3D acquisition and a B-spline active surface segmentation technique

Hickman, Simon J.; Hadjiprocopis, Andreas; Coulon, Olivier; Miller, David H.; Barker, Gareth J.

doi:10.1016/j.mri.2004.01.056

Cited by 26 publications

(11 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, this small study should be seen as a proof-of-concept application of the atlas and methods using typical MRI experiment, warranting careful interpretation given the relatively small number of subjects. MTR was about 30% in the dorsal column and in the corticospinal tract, which is consistent with previous studies (Charil et al, 2006;Cohen-Adad et al, 2011;El Mendili et al, 2014;Oh et al, 2013) but lower than in other studies, where MTR was reported to be~45% (Filippi et al, 1995;Hickman et al, 2004;Smith et al, 2005). These discrepancies across studies could be accounted for by differences in SNR, T 1 , B 1 profile, sequence parameters and B 0 strength/homogeneity, which affect MTR calculation.…”

Section: Application To Real Datasupporting

confidence: 89%

White matter atlas of the human spinal cord with estimation of partial volume effect

et al. 2015

View full text Add to dashboard Cite

Section: Application To Real Datasupporting

confidence: 89%

White matter atlas of the human spinal cord with estimation of partial volume effect

et al. 2015

View full text Add to dashboard Cite

“…Currently, qMT of the spinal cord at 3.0 tesla has been limited (Dortch et al, 2010), although several semi-quantitative measurements using the MTR (Berry et al, 1999) and MTCSF (Smith et al, 2005) have been reported (Cohen-Adad et al, 2011; Filippi and Rocca, 2007; Grossman et al, 2000; Hickman et al, 2004; Rovaris et al, 2008). One challenge facing the MTR and MTCSF is that they are sequence and scanner dependent (Berry et al, 1999; Henkelman et al, 1993; Stanisz et al, 2005) and, therefore, cannot readily be used to quantitatively study tissue changes in the spinal cord across sites.…”

Section: Discussionmentioning

confidence: 99%

Rapid, high-resolution quantitative magnetization transfer MRI of the human spinal cord

et al. 2014

View full text Add to dashboard Cite

Quantitative magnetization transfer (qMT) imaging can provide indices describing the interactions between free water protons and immobile macromolecular protons. These indices include the macromolecular proton fraction (MPF), which has been shown to correlate with myelin content in white matter. Because of the long scan times required for high-resolution spinal cord imaging, qMT studies of the human spinal cord have not found wide-spread application. Herein, we investigated whether these limitations could be overcome by utilizing only a single MT-weighted acquisition and a reference measurement, as was recently proposed in the brain. High-resolution, in vivo qMT data were obtained at 3.0 tesla in the spinal cords of healthy volunteers and patients with relapsing remitting multiple sclerosis (MS). Low- and high-resolution acquisitions (low/high resolution = 1×1×5 mm3/0.65×0.65×5 mm3) with clinically acceptable scan times (12 min/7 min) were evaluated. We also evaluated the reliability over time and the sensitivity of the model to the assumptions made in the single-point method, both in disease and healthy tissue. Our findings suggest that the single point qMT technique can provide maps of the MPF in the spinal cord in vivo with excellent grey/white matter contrast, can be reliably obtained within reasonable scan times, and are sensitive to MS pathology. Consistent with previous qMT studies in the brain, the observed MPF values were higher in healthy white matter (0.16±0.01) than in grey matter (0.13±0.01) and in MS lesions (0.09±0.01). The single point qMT technique applied at high resolution provides an improved method for obtaining qMT in the human spinal cord and may offer a reliable outcome measure for evaluating spinal cord disease.

show abstract

“…Several semi- or fully-automated segmentation methods have been proposed in the last decade for cervical CSA estimation (Losseff et al, 1996, Hickman et al, 2004, Tench et al, 2005, Zivadinov et al, 2008, Horsfield et al, 2010, McIntosh et al, 2011, Bergo et al, 2012, Chen et al, 2013, de Leener et al, 2014, Asman and Bryan, 2014, Taso et al, 2015, El Mendili et al, 2015, de Leener et al, 2016). While most methods present good performance, interpretation and comparison of results between different methods is seldom possible due to the use of different imaging datasets (usually in-house data), different MRI sequences, different ways to obtain gold standard segmentations (number of raters and consensus mask) and the use of various performance scores (2D/slice-wise or 3D/volumetric).…”

Section: Introductionmentioning

confidence: 99%

Spinal cord grey matter segmentation challenge

et al. 2017

View full text Add to dashboard Cite

An important image processing step in spinal cord magnetic resonance imaging is the ability to reliably and accurately segment grey and white matter for tissue specific analysis. There are several semi- or fully-automated segmentation methods for cervical cord cross-sectional area measurement with an excellent performance close or equal to the manual segmentation. However, grey matter segmentation is still challenging due to small cross-sectional size and shape, and active research is being conducted by several groups around the world in this field. Therefore a grey matter spinal cord segmentation challenge was organised to test different capabilities of various methods using the same multi-centre and multi-vendor dataset acquired with distinct 3D gradient-echo sequences. This challenge aimed to characterize the state-of-the-art in the field as well as identifying new opportunities for future improvements. Six different spinal cord grey matter segmentation methods developed independently by various research groups across the world and their performance were compared to manual segmentation outcomes, the present gold-standard. All algorithms provided good overall results for detecting the grey matter butterfly, albeit with variable performance in certain quality-of-segmentation metrics. The data have been made publicly available and the challenge web site remains open to new submissions. No modifications were introduced to any of the presented methods as a result of this challenge for the purposes of this publication.

show abstract

Cervical spinal cord MTR histogram analysis in multiple sclerosis using a 3D acquisition and a B-spline active surface segmentation technique

Cited by 26 publications

References 5 publications

White matter atlas of the human spinal cord with estimation of partial volume effect

White matter atlas of the human spinal cord with estimation of partial volume effect

Rapid, high-resolution quantitative magnetization transfer MRI of the human spinal cord

Spinal cord grey matter segmentation challenge

Contact Info

Product

Resources

About