Analysis of Visualization Techniques in Diffusion Tensor Imaging (DTI)

2018 ◽  
Author(s):  
Anzer M. Muhammed ◽  
Aswathi V. ◽  
Edet Bijoy K.
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Visualization Techniques ◽  
Diffusion Tensor Imaging Dti

Intraspinal Tumors: The Value of Diffusion Tensor Imaging (DTI) and Tractography: A Preliminary Study

2018 ◽  
Author(s):  
F. Cartes-Zumelzu ◽  
S. Ingorokva ◽  
H. Kostron ◽  
G. Feuchtner ◽  
C. Kremser ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Preliminary Study ◽  
Diffusion Tensor Imaging Dti

scholarly journals The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)

NeuroImage ◽  
2016 ◽  
Vol 124 ◽  
pp. 1125-1130 ◽  
Author(s):  
Lindsay Walker ◽  
Lin-Ching Chang ◽  
Amritha Nayak ◽  
M. Okan Irfanoglu ◽  
Kelly N. Botteron ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Brain Development ◽  
Diffusion Tensor ◽  
Normal Brain ◽  
Mri Study ◽  
Normal Brain Development ◽  
Diffusion Tensor Imaging Dti

Are the DTI results positive evidence for George Bernard Shaw's view?

2004 ◽  
Vol 27 (6) ◽  
pp. 866-866
Author(s):  
Rolf Verleger ◽  
Rebekka Lencer
Keyword(s):  
Diffusion Tensor Imaging ◽  
Eye Movement ◽  
Social Life ◽  
Diffusion Tensor ◽  
Positive Evidence ◽  
Central Piece ◽  
Integrate Research ◽  
Diffusion Tensor Imaging Dti ◽  
Human Social Life

We discuss how Burns' conception may be further extended to integrate research on eye movement abnormalities, but then point to a contradiction between Burns' conception of schizophrenia as the genetic price for human social life and the diffusion tensor imaging (DTI) data, which constitute his central piece of evidence.

Diffusion tensor imaging (DTI) findings in schizophrenia: A review

2011 ◽  
Vol 26 (S2) ◽  
pp. 960-960
Author(s):  
J.L. Villegas Martínez ◽  
J.A. Blanco Garrote ◽  
F. Uribe Ladrón de Cegama ◽  
B. Arribas Simón ◽  
G. Cabús Piñol
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Cochrane Review ◽  
Brain Structures ◽  
Brain Regions ◽  
Parahippocampal Gyrus ◽  
First Episode ◽  
Chronic Patients ◽  
Brain White Matter ◽  
Diffusion Tensor Imaging Dti

IntroductionDiffusion tensor imaging (DTI) is a magnetic resonance imaging technique that have increasingly being used for the non-invasive evaluation of brain white matter (WM) abnormalities. Several studies suggest that the normal integration of cerebral function may be compromised in schizophrenia. Abnormalities in WM tracts may be directly relevant for the neuropathology of schizophrenia.ObjetivesThe purpose of this review was to discuss recent DTI findings in schizophrenia and a methodologic analysis.MethodsThe literature search was performed with the search engine PubMed of the U.S. National Library of Medicine. Search strategy used was based on the Cochrane review technique, limited to the period between 1998 (first report on DTI and schizophrenia) and May 2010. And limited to ‘Title/Abstract’. The reference lists of these studies were used to identify additional studies.ResultsThere is a striking amount of heterogeneity in findings, probably by methodologic problems. Brain regions such as the cingulate bundle, corpus callosum, and regions within frontal and temporal WM have a proportionally larger number of positive findings across the studies. In addition, WM tracts as The superior longitudinal fasciculus, fronto-occipital longitudinal fasciculi, uncinate fasciculi, frontal longitudinal fasciculus and the arcuate fasciculus have also positive findings in patients with schizophrenia. Other brain structures as the cerebellar peduncles, the fornix, the hippocampus and parahippocampal gyrus, the thalamic and optic radiations have been evaluated and shown positive findings. However, these findings are not present in all studies. DTI abnormalities in first-episode patients are less robust than in chronic patients.ConclusionsRecent DTI findings further support the hypothesis of structural dysconnectivity in schizophrenia.

scholarly journals Primary progressive aphasia patients evaluated using diffusion tensor imaging and voxel based volumetry-preliminary results

2011 ◽  
Vol 69 (3) ◽  
pp. 446-451 ◽  
Author(s):  
Fábio Pascotto de Oliveira ◽  
Jaderson Costa da Costa ◽  
Sabine Possa Marroni ◽  
Ana Maria Marques da Silva ◽  
Sthefanie Hansen Barreiro ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Cognitive Deficits ◽  
Diffusion Tensor ◽  
Primary Progressive Aphasia ◽  
Control Group ◽  
Progressive Aphasia ◽  
Primary Progressive ◽  
Language Deficit ◽  
Volume Method ◽  
Diffusion Tensor Imaging Dti

There are individuals who have a progressive language deficit without presenting cognitive deficits in other areas. One of the diseases related to this presentation is primary progressive aphasia (PPA). OBJECTIVE: Identify by means of diffusion tensor imaging (DTI) and measurements of cortical volume, brain areas that lead to dysphasia when presenting signs of impaired connectivity or reduced volume. METHOD: Four patients with PPA were evaluated using DTI, and measurements of cortical volumes in temporal areas. These patients were compared with two normal volunteers. RESULTS: There is a trend to a difference in the number and volume of related fibers between control group and patients with PPA. Comparing cortical volumes in temporal areas between groups yielded a trend to a smaller volume in PPA patients. CONCLUSION: Patients with PPA have a trend to impairment in cortical and subcortical levels regarding relevant areas.

Human Brain Diffusion Tensor Imaging Visualization With Virtual Reality

2010 ◽  
Author(s):  
Bin Chen ◽  
John Moreland
Keyword(s):  
Virtual Reality ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Biological Tissues ◽  
Head Tracking ◽  
Fiber Tractography ◽  
Brain White Matter ◽  
Diffusion Tensors ◽  
Visualization Techniques

Magnetic resonance diffusion tensor imaging (DTI) is sensitive to the anisotropic diffusion of water exerted by its macromolecular environment and has been shown useful in characterizing structures of ordered tissues such as the brain white matter, myocardium, and cartilage. The water diffusivity inside of biological tissues is characterized by the diffusion tensor, a rank-2 symmetrical 3×3 matrix, which consists of six independent variables. The diffusion tensor contains much information of diffusion anisotropy. However, it is difficult to perceive the characteristics of diffusion tensors by looking at the tensor elements even with the aid of traditional three dimensional visualization techniques. There is a need to fully explore the important characteristics of diffusion tensors in a straightforward and quantitative way. In this study, a virtual reality (VR) based MR DTI visualization with high resolution anatomical image segmentation and registration, ROI definition and neuronal white matter fiber tractography visualization and fMRI activation map integration is proposed. The VR application will utilize brain image visualization techniques including surface, volume, streamline and streamtube rendering, and use head tracking and wand for navigation and interaction, the application will allow the user to switch between different modalities and visualization techniques, as well making point and choose queries. The main purpose of the application is for basic research and clinical applications with quantitative and accurate measurements to depict the diffusivity or the degree of anisotropy derived from the diffusion tensor.

scholarly journals FP068KIDNEY DIFFUSION TENSOR IMAGING (DTI) 3-TESLA :NEW RADIOLOGICAL TECHNIQUE FOR THE STUDY OF HEREDITARY CYSTIC KIDNEY DISEASES

2015 ◽  
Vol 30 (suppl_3) ◽  
pp. iii87-iii87
Author(s):  
Rosaria Lupica ◽  
Domenico Trimboli ◽  
Valeria Cernaro ◽  
Carmela Aloisi ◽  
Gaetano Montalto ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Tensor ◽  
Kidney Diseases ◽  
3 Tesla ◽  
Cystic Kidney ◽  
Cystic Kidney Diseases ◽  
Radiological Technique ◽  
Diffusion Tensor Imaging Dti
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