Purpose: To investigate the feasibility of using spatial normalization in combination with diffusion tensor (DT) corticospinal tractography to assess corticospinal tract (CST) involvement in capsular or pericapsular stroke.
Materials And Methods: Corticospinal tractograms were created and segmented out using DT imaging (DTI) data from 10 normal volunteers. After spatial normalization was achieved with statistical parametric mapping (SPM), the whole ensemble of tractograms was used as a map of the CST. This was overlaid on the infarction site, which had also been spatially normalized from isotropic diffusion-weighted (DW) images of 14 patients with small symptomatic capsular or pericapsular infarction. We evaluated the extent of CST involvement within the infarction site. Differences were sought in relation to recovery of muscle strength.
Results: The CST was engulfed by the infarction in all patients. Muscle strength recovery occurred in 10 of the 14 patients. The extent of cross-sectional and longitudinal involvement in the infarction site was related to motor recovery (P = 0.041).
Conclusion: An evaluation of the involvement of the CST in cases of capsular or pericapsular infarction utilizing DT fiber tractography in combination with spatial normalization was found to be feasible as it clearly visualized the extent of CST involvement consistent with the symptom.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/jmri.20945 | DOI Listing |
Phys Rev Lett
December 2024
Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences, University of Science and Technology of China, Hefei 230026, China.
Optical simulators for the Ising model have demonstrated great promise for solving challenging problems in physics and beyond. Here, we develop a spatial optical simulator for a variety of classical statistical systems, including the clock, XY, Potts, and Heisenberg models, utilizing a digital micromirror device composed of a large number of tiny mirrors. Spins, with desired amplitudes or phases of the statistical models, are precisely encoded by a patch of mirrors with a superpixel approach.
View Article and Find Full Text PDFParasitol Res
December 2024
Department of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Strongyloides stercoralis and Opisthorchis viverrini are helminth parasites responsible for significantly neglected tropical diseases. This study aimed to evaluate the prevalence of these parasites and the risk factors for S. stercoralis and O.
View Article and Find Full Text PDFLandsc Ecol
December 2024
Institute of Environment Sciences, University of Quebec at Montreal, Montreal, QC H3C 3P8 Canada.
Context: Trees play a vital role in reducing street-level particulate matter (PM) pollution in metropolitan areas. However, the optimal tree growth type for maximizing the retention of various sizes of PM remains uncertain.
Objectives: This study assessed the PM reduction capabilities of evergreen and deciduous broadleaf street trees, focusing on how leaf phenology influences the dispersion of pollutants across particle sizes.
After birth, tissues grow continuously until reaching adult size, with each organ exhibiting unique cellular dynamics, growth patterns, and (stem or non-stem) cell sources. Using a suite of experimental and computational multiscale approaches, we found that aortic expansion is guided by specific biological principles and scales with the vertebral column rather than animal body weight. Expansion proceeds via two distinct waves of arterial cell proliferation along blood flow that are spatially stochastic, yet temporally coordinated.
View Article and Find Full Text PDFMultiplexed tissue imaging (MTI) technologies enable high-dimensional spatial analysis of tumor microenvironments but face challenges with technical variability in staining intensities. Existing normalization methods, including z-score, ComBat, and MxNorm, often fail to account for the heterogeneous, right-skewed expression patterns of MTI data, compromising signal alignment and downstream analyses. We present UniFORM, a non-parametric, Python-based pipeline for normalizing both feature- and pixel-level MTI data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!