The aim of this study is to investigate the white matter by the diffusion tensor imaging and the Chinese visible human dataset and to provide the 3D anatomical data of the corticospinal tract for the neurosurgical planning by studying the probabilistic maps and the reproducibility of the corticospinal tract. Diffusion tensor images and high-resolution T1-weighted images of 15 healthy volunteers...

INTRODUCTION: Pre-pectoral direct to implant (DTI) breast reconstruction has historically been fraught with complications including flap necrosis, implant extrusion, and capsular contracture as well as extremely high rates of operative revisions. This may result from a number of factors, including the lack of an algorithmic approach, failure to predict postoperative migration of the implant, us...

Conventional MR, diffusion-weighted, and diffusion tensor imaging were performed in an 8-day-old girl with citrullinemia. She had severe hyperammonemia for several days. On conventional T2-weighted MR images, symmetric, confluent high signal intensity was found in the bilateral thalami, basal ganglia, cortex, and subcortical white matter. Diffusion-weighted imaging demonstrated decreased appare...

Diffusion tensor imaging is widely used in research and clinical applications, but still suffers from substantial artifacts. Here, we focus on vibrations induced by strong diffusion gradients in diffusion tensor imaging, causing an echo shift in k-space and consequential signal-loss. We refined the model of vibration-induced echo shifts, showing that asymmetric k-space coverage in widely used P...

Purpose. Diffusion tensor images (DTI) have been widely used to characterize the white matter microstructure. The incapacity of DTI to represent crossing pathways has motivated the developement of novel diffusion models, such as the multi-tensor models. However, to estimate a multi-tensor model, one needs to acquire the diffusion weighted images (DWI) at multiple b-values, unlike the common sin...

how to cite this article: iibtihel rébai i, benrhouma h, kraoua i, drissi c, ben hammouda m, gouider-khouja n. mirror movements and myelomeningocele: report of a single case and review of literature. iran j child neurol. 2013 summer;7(3):58-61.   objective mirror movements (mm) have been described in several pathological conditions. their association with neural tube defects is rare, and only 5...

This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method aims to approximate a collection of diffusion tensor images using nonnegative linear combinations of basis tensor images. An efficient iterative optimization algorithm is proposed to solve this factorization problem....

radical resection of a pathological lesion along with the preservation of eloquent cerebral tissue is the principle goal of neurosurgery. brain lesions are usually diagnosed by conventional magnetic resonance imaging (mri), but this method is unable to describe the relationship between lesions and neighboring specific white matter (wm) tracts. diffusion tensor tractograghy (dtt) is a new sophis...

Introduction: Appropriate definition of the distance measure between diffusion tensors has a deep impact on Diffusion Tensor Image (DTI) segmentation results. The geodesic metric is the best distance measure since it yields high-quality segmentation results. However, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. The main goal of this ...

In this article, we review recent mathematical models and computational methods for the processing of diffusion Magnetic Resonance Images, including state-of-the-art reconstruction of diffusion models, cerebral white matter connectivity analysis, and segmentation techniques. We focus on Diffusion Tensor Images (DTI) and Q-Ball Images (QBI).