نتایج جستجو برای: dti
تعداد نتایج: 4911 فیلتر نتایج به سال:
Endothelial progenitor cells (EPCs) play an important role in repairing ischemia tissues. Diffusion tensor imaging (DTI) was applied to detect the architectural organization of skeletal muscle. This study investigated the feasibility and accuracy of using the DTI to evaluate effectiveness of EPCs treatment. Mouse bone marrow-derived EPCs were isolated, cultured, characterized, and transplanted ...
The aim of the study is to analyze diffusion tensor imaging (DTI) characteristics of the Guillain-Mollaret triangle (GMT) in patients with hypertrophic olivary degeneration (HOD) and to investigate their correlation with previously reported histopathology. DTI was performed in 10 patients diagnosed with HOD. Fractional anisotropy, apparent diffusion coefficient, axial diffusivity, and radial di...
Introduction: Diffusion tensor imaging (DTI) has many promising clinical applications but is limited at ultra-high field. Higher field strengths increase SNR but are more prone to artifacts from B0 and B1 field inhomogeneity and shorter T2*. There are several studies exploring the feasibility of 7T DTI . In DTI applications, accurate measurement of fractional anisotropy (FA) is critical in asse...
J. Lee, M. K. Chung, A. L. Alexander Medical Physics, University of Wisconsin, Madison, WI, United States, Waisman Laboratory for Functional Brain Imaging and Behavior, Madison, WI, United States, Statistics, University of Wisconsin, Madison, WI, United States Introduction Diffusion tensor imaging (DTI) measures are very sensitive to noise [1]. These noise effects are even more increased as the...
Chronic cervical spinal cord injury: DTI correlates with clinical and electrophysiological measures.
Diffusion tensor imaging (DTI) is rarely applied in spinal cord injury (SCI). The aim of this study was to correlate diffusion properties after SCI with electrophysiological and neurological measures. Nineteen traumatic cervical SCI subjects and 28 age-matched healthy subjects participated in this study. DTI data of the spinal cord were acquired with a Philips Achieva 3 T MR scanner using an ou...
BACKGROUND AND PURPOSE DTI is an MR imaging measure of brain tissue integrity. Little is known regarding the long-term longitudinal evolution of lesional and nonlesional tissue DTI parameters in multiple sclerosis and the present study examines DTI evolution over 4 years. MATERIALS AND METHODS Twenty-one patients with multiple sclerosis were imaged for up to 48 months after starting natalizum...
Early evaluation of the pyramidal tract using Diffusion Tensor Imaging (DTI) is a prerequisite to decide the optimal treatment or to assess appropriate rehabilitation. The early predictive value of DTI for assessing motor and functional recovery in ischemic stroke (IS) has yielded contradictory results. The purpose is to systematically review and summarize the current available literature on th...
Diffusion Tensor Imaging (DTI) has become an important MRI procedure to investigate the integrity of white matter in brain in vivo. DTI is estimated from a series of acquired Diffusion Weighted Imaging (DWI) volumes. DWI data suffers from inherent low SNR, overall long scanning time of multiple directional encoding with correspondingly large risk to encounter several kinds of artifacts. These a...
PURPOSE To achieve maximal safe resection during brain tumor surgery, functional image-merged neuronavigation is widely used. We retrospectively reviewed our cases in which diffusion tensor image (DTI)-merged functional neuronavigation was performed during surgery. MATERIALS AND METHODS Between November 2008 and May 2010, 123 patients underwent surgery utilizing DTI-merged neuronavigation. An...
PURPOSE Increasing acquisition efficiency is always a challenge in high-resolution diffusion tensor imaging (DTI), which has low signal-to-noise ratio and is sensitive to reconstruction artifacts. In this study, a parallel imaging (PI) and compressed sensing (CS) combined framework is proposed, which features motion error correction, PI calibration, and sparsity model using inter-image correlat...
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