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...

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...

The purpose of this study is to create a white matter atlas of the human brain using diffusion tensor imaging (DTI) tractography and to describe the constant and variable features of the major pathways. DTI was acquired from 40 healthy right-handed adults and reconstructed tracts mapped within a common reference space (MNI). Group effect maps of each tract defined constant anatomical features w...

INTRODUCTION: Direct to implant (DTI) breast reconstruction offers the obvious advantages of shortening the reconstructive process and reducing costs. In our practice, DTI has evolved from dual-plane (DP) to prepectoral (PP) implant placement. Prepectoral reconstruction offers additional benefits of elimination of pectoralis muscle animation deformity and potential reduction in postoperative pa...

Diffusion tensor imaging (DTI) is a magnetic resonance imaging technique that in vivo visualises random translational movement of water molecules. DTI has inherent difficulties with low signal-to-noise ratio, sensitivity to patient motion, field inhomogeneities and fast T2 relaxation. It has been used in the central nervous system, although it has not been assessed in the peripheral nervous sys...