Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that allows estimation of the location of white matter tracts in-vivo, based on the measurement of water diffusion properties. For each voxel, a second-order tensor can be calculated by using diffusion-weighted sequences (DWI) that are sensitive to the random motion of water molecules. Given at least 6 diffusion-weighted images ...

We present an unsupervised three-dimensional feature clustering algorithm to gather the mTOP2016 challenge data into 3 groups. We use the brain MR-T1, diffusion tensor fractional anisotropy, and diffusion tensor mean diffusivity images provided by the mTOP2016 competition. A distance-based size constraint method for data clustering is used. The proposed approach achieves 0.267 adjusted rand ind...

This paper deals with the problem of regularizing noisy fields of diffusion tensors, considered as symmetric and semi-positive definite n n matrices (as for instance 2D structure tensors or DT-MRI medical images). We first propose a simple anisotropic PDE-based scheme that acts directly on the matrix coefficients and preserve the semipositive constraint thanks to a specific reprojection step. T...

Purpose Macular degeneration (MD) affects the central retina and leads to gradual loss of foveal vision. Although, photoreceptors are primarily affected in MD, the retinal nerve fiber layer (RNFL) and central visual pathways may also be altered subsequent to photoreceptor degeneration. Here we investigate whether retinal damage caused by MD alters microstructural properties of visual pathways u...

Diffusion tensor imaging (DTI) constitutes the most used paradigm among the diffusion-weighted magnetic resonance imaging (DW-MRI) techniques due to its simplicity and application potential. Recently, real-time estimation in DW-MRI has deserved special attention, with several proposals aiming at the estimation of meaningful diffusion parameters during the repetition time of the acquisition sequ...

PDE-based, non-linear diffusion techniques are an effective way to denoise images. In a previous study, we investigated the effects of different parameters in the implementation of isotropic, non-linear diffusion. Using synthetic and real images, we showed that for images corrupted with additive Gaussian noise, such methods are quite effective, leading to lower mean-squared-error values in comp...

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...

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 magnetic resonance imaging has been used extensively to probe the white matter in vivo. Typically, the raw diffusion images are used to reconstruct a diffusion tensor image (DTI). The incapacity of DTI to represent crossing fibers leaded to the development of more sophisticated diffusion models. Among them, multi-fiber models represent each fiber bundle independently, allowing the dir...

In vivo diffusion tensor imaging (DTI) of rat thoracic spinal cord was performed on five healthy rats. Axial diffusion images were obtained using a standard spin echo diffusion weighted sequence. The fractional anisotropy (FA), longitudinal (LD) and transverse (TD) diffusivities and the mean diffusivity were estimated. Differences in these parameters between white and grey matter were in accord...