Delineation of calibration regions is a key component of the T1w/T2w ratio myelin mapping approach. The existing method implemented in SPM was not designed for pediatric MRI application. We have developed an automated approach that is able to reliably segment appropriate calibration regions in the pediatric populations- the CSF and scalp fat layer. Using two pediatric MRI datasets, we demonstrated reliability of our segmentation method and the low variance of regional T1w/T2w ratios than the existing method. Our proposed calibration method has potential to be implemented in pediatric myelination studies using the whole brain T1w/T2w ratio technique.
Compare our method to the SPM-MRTool based on the following criteria:
In addition we investigated the distribution of mean T1w and T2w intensities in calibration regions used in our method.
Participants: One hundred and forty-eight children born VP (<30 weeks’ gestation) or very low birth weight (<1250 g) and 35 children born FT (37-42 weeks’ gestation) were scanned at 7 years corrected age (VIBeS-7Y). Of these, 86 VP and 35 FT children were followed up at 13 years corrected age (VIBeS-13Y).
MRI acquisition: All acquired using 3T MRI. VIBeS-7Y: T1-MPRAGE (0.85 mm sagittal slices; TR/TE = 1900/2.27 ms); T2 (0.9 mm sagittal slices, TR/TE = 3200/447 ms). VIBeS-13Y: T1-multiecho MPRAGE with prospective motion compensations (0.9mm3 isotropic, TR/TE = 2530/1.77, 3.51, 5.32, 7.2 ms); T2 (0.9 mm sagittal slices, TR/TE = 3200/447 ms).
Processing: The T1w and T2w images were bias-corrected and the T2w image was coregistered and resampled to the T1w image space. Both images were intensity normalized against standard values and calibrated using two reference structures with relatively homogeneous, but reversed intensity values in the subject’s space: the scalp fat layer (scalp-fat) and the CSF mask. The scalp-fat mask was segmented using the in house ITK tool based on the morphological watershed transform from markers.5, 6 The CSF mask was obtained from SPM tissue segmentation. The T1w/T2w ratio was then calculated and mapped in the subject’s space.
The mean ratio intensity value was derived from the SPM segmented white matter mask. The ratio maps were non-linearly warped into the standard template space. The mean ratio intensity values were derived from 48 white matter regions based on the JHU white matter atlas, and six subcortical gray matter regions based on the Harvard-Oxford atlas.
The rates of successful completion of image processing were higher with our method than with the MRTool method (Figure 1). The patterns of VP and FT group differences demonstrated by both methods showed similar trends, with more variances noted using the MRTool method (Figure 2). Our method demonstrated less individual variances of T1w/T2w ratio than the MRTool method (Figure 3).
The segmented tissue mask accuracy from our method was visually satisfactory. An example is shown in Figure 4. The T1w and T2w intensity profiles of both tissue masks generated by our method had compatible patterns in both MRI datasets. Greater intensity variance was observed for the scalp-fat mask in the T1w space, than the others (Figure 5).
We thank Dr. Christopher Adamson, PhD, for technical support.
This research was conducted within the Developmental Imaging and Neuroscience Research groups, Murdoch Children's Research Institute, the Department of Neurosurgery, the Royal Children's Hospital, at the Melbourne Children's MRI centre, Melbourne, Victoria. It was supported by the Royal Children's Hospital Foundation (RCH 1000 to Dr. Yang), Australia's National Health and Medical Research Council (Postgraduate Scholarship 1039160 to Dr. Yang), Murdoch Children's Research Institute, The University of Melbourne Department of Paediatrics, and the Victorian Government's Operational Infrastructure Support Program.
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