We test our method using neonatal data and in particular, we successfully extract some of the limbic, association and commissural bers, all of which are typically dicult to obtain by direct tractography. Here, we introduce a post-processing method that overcomes some of the diculties described above, allowing the determination of reliable tracts in newborns. As a result, the water molecules' movements are not as constrained as in older brains, making it even more dicult to dene structure by means of diusion proles. In addition, axons are not yet fully myelinated in these subjects. These image acquisition protocols are implemented with the aim of reducing displacement artifacts that may be produced by the movement of the neonate's head during the scanning session. Diffusion tensor was first estimated (background removal threshold, 600 high smoothing), and regions of interest (ROI) were then.
MEDINRIA TRACTOGRAPHY SOFTWARE
In imaging studies of neonates, particularly in the clinical setting, diusion tensor imaging-based tractography is typically unreliable due to the use of fast acquisition protocols that yield low resolution and signal-to-noise ratio (SNR). Tractography was performed on a stand-alone MacOSX workstation using the DTI track module provided in the software MedINRIA version 1.9.4 (17). Through an intuitive user interface, medInria offers from standard to cutting-edge processing functionalities for your medical images such as 2D/3D/4D image visualization, image registration, diffusion MR processing and tractography. Leporé, Natasha Yepes, Fernando Lao, Yi Panigrahy, Ashok Ceschin, Rafael Ravichandran, Subhashree Nelson, Marvin D. MedInria is a multi-platform medical image processing and visualization software.
Published by Wolters Kluwer Health, Inc.Template-based tractography for clinical neonatal diffusion imaging data Template-based tractography for clinical neonatal diffusion imaging data Usage of NQA instead of FA in the proposed algorithm enabled better separation of muscle and nerve fibers.The presented algorithm yields a high quality reconstruction of the LSP bundles that may be helpful both in research and clinical practice.Ĭopyright © 2021 the Author(s). 001).Fiber tractography of the LSP was feasible in all examined subjects and closely corresponded with the nerves visible in the maximum intensity projection images of MR neurography. 001) by contrast, mean diffusivity, axial diffusivity, radial diffusivity and NQA values significantly increased towards the sacral region (P <.
The MR neurography was performed in MedINRIA and post-processed using the maximum intensity projection method to demonstrate LSP tracts in multiple planes.FA values significantly decreased towards the sacral region (P <. Data (mean FA, mean diffusivity, axial diffusivity and radial diffusivity, and normalized quantitative anisotropy) were statistically analyzed using the linear mixed-effects model. In this study, the NQA parameter has been used for fiber tracking instead of fractional anisotropy (FA) and the regions of interest positioning was precisely adjusted bilaterally and symmetrically in each individual subject.The diffusion data were processed in individual 元-S2 nerve fibers using the generalized Q-sampling imaging algorithm. We proposed an algorithm for an accurate visualization and assessment of the major LSP bundles using the segmentation of the cauda equina as seed points for the initial starting area for the fiber tracking algorithm.Twenty-six healthy volunteers underwent MRI examinations on a 3T MR scanner using the phased array coils with optimized measurement protocols for diffusion-weighted images and coronal T2 weighted 3D short-term inversion recovery sampling perfection with application optimized contrast using varying flip angle evaluation sequences used for LSP fiber reconstruction and MR neurography (MRN).The fiber bundles reconstruction was optimized in terms of eliminating the muscle fibers contamination using the segmentation of cauda equina, the effects of the normalized quantitative anisotropy (NQA) and angular threshold on reconstruction of the LSP. MR tractography of the lumbosacral plexus (LSP) is challenging due to the difficulty of acquiring high quality data and accurately estimating the neuronal tracts.
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