Results 61 to 70 of about 389,778 (240)
Incomplete Nutation Diffusion Imaging: an ultrafast, single-scan approach for diffusion mapping [PDF]
Magn Reson Med. 2018 Apr;79(4):2198-2204, 2019 Purpose: Diffusion Magnetic Resonance Imaging (dMRI) is confounded by its long acquisition duration, thereby thwarting the detection of rapid microstructural changes, especially when diffusivity variations are accompanied by rapid changes in T2. The purpose of the present study is to accelerate dMRI to a single scan acquisition, and to enable a more ...
arxiv +1 more source
A Multicomponent Approach to Nonrigid Registration of Diffusion Tensor Images [PDF]
arXiv, 2015 We propose a nonrigid registration approach for diffusion tensor images using a multicomponent information-theoretic measure. Explicit orientation optimization is enabled by incorporating tensor reorientation, which is necessary for wrapping diffusion tensor images.
arxiv
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging [PDF]
arXiv, 2021 The physical and clinical constraints surrounding diffusion-weighted imaging (DWI) often limit the spatial resolution of the produced images to voxels up to 8 times larger than those of T1w images. Thus, the detailed information contained in T1w imagescould help in the synthesis of diffusion images in higher resolution.
arxiv
A variational problem arising in registration of diffusion tensor images [PDF]
arXiv, 2016 The existence of a global minimizer for a variational problem arising in registration of diffusion tensor images is proved, which ensures that there is a regular spatial transformation for the registration of diffusion tensor images.
arxiv
Diffusion-Weighted Imaging and Diffusion Tensor Imaging [PDF]
Current Radiology Reports, 2014 Assessment of the integrity of the articular cartilage is considered key for the early diagnosis of osteoarthritis (OA). Diffusion-weighted imaging and diffusion tensor imaging have potential as biomarkers for cartilage composition and structure. The value of diffusion to detect compositional and structural changes in the cartilage matrix has been ...
openaire +2 more sources
Frontiers in Integrative Neuroscience, 2013 Diffusion MRI has become an invaluable tool for studying white matter microstructure and brain connectivity. The emergence of quantitative susceptibility mapping and susceptibility tensor imaging has provided another unique tool for assessing the ...
Chunlei eLiu +3 more
doaj +1 more source
Multi-component fiber track modelling of diffusion-weighted magnetic resonance imaging data
Journal of Advanced Research, 2010 In conventional diffusion tensor imaging (DTI) based on magnetic resonance data, each voxel is assumed to contain a single component having diffusion properties that can be fully represented by a single tensor. Even though this assumption can be valid in
Yasser M. Kadah, Inas A. Yassine
doaj +1 more source
Gradient waveform design for tensor-valued encoding in diffusion MRI [PDF]
arXiv, 2020 Diffusion encoding along multiple spatial directions per signal acquisition can be described in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks the "shape of the b-tensor" as a new encoding dimension. By modulating the b-tensor shape, we can control the sensitivity to microscopic diffusion anisotropy which can be
arxiv
Neuropsychiatric Disease and Treatment, 2008 David A Medina1, Moises Gaviria21Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA; 2University of Illinois at Chicago, IL, USAAbstract: Diffusion tensor imaging (DTI) is a sophisticated MRI-based neuroimaging technique that ...
David A Medina, Moises Gaviria
doaj
Selecting an appropriate anisotropy index for displaying diffusion tensor imaging data with improved contrast and sensitivity [PDF]
, 2000 Paul Armitage, Mark E. Bastin
openalex +2 more sources