Brain Injury due to Ventricular Shunt Placement Delineated by Diffusion Tensor Imaging (DTI) Tractography

2008 ◽  
Vol 14 (4) ◽  
pp. 252-254 ◽  
Author(s):  
Menachem M. Gold ◽  
Keivan Shifteh ◽  
Stella Valdberg ◽  
Jay Lombard ◽  
Michael L. Lipton
2014 ◽  
Vol 37 ◽  
pp. 116-122 ◽  
Author(s):  
Helen L. Carlson ◽  
Christianne Laliberté ◽  
Brian L. Brooks ◽  
Jacquie Hodge ◽  
Adam Kirton ◽  
...  

Author(s):  
Elizabeth Hutchinson ◽  
Susan Osting ◽  
Paul Rutecki ◽  
Thomas Sutula

Abstract Diffusion tensor imaging (DTI) metrics are highly sensitive to microstructural brain alterations and are potentially useful imaging biomarkers for underlying neuropathologic changes after experimental and human traumatic brain injury (TBI). As potential imaging biomarkers require direct correlation with neuropathologic alterations for validation and interpretation, this study systematically examined neuropathologic abnormalities underlying alterations in DTI metrics in the hippocampus and cortex following controlled cortical impact (CCI) in rats. Ex vivo DTI metrics were directly compared with a comprehensive histologic battery for neurodegeneration, microgliosis, astrocytosis, and mossy fiber sprouting by Timm histochemistry at carefully matched locations immediately, 48 hours, and 4 weeks after injury. DTI abnormalities corresponded to spatially overlapping but temporally distinct neuropathologic alterations representing an aggregate measure of dynamic tissue damage and reorganization. Prominent DTI alterations of were observed for both the immediate and acute intervals after injury and associated with neurodegeneration and inflammation. In the chronic period, diffusion tensor orientation in the hilus of the dentate gyrus became prominently abnormal and was identified as a reliable structural biomarker for mossy fiber sprouting after CCI in rats, suggesting potential application as a biomarker to follow secondary progression in experimental and human TBI.


2020 ◽  
Author(s):  
Andrei Irimia ◽  
Di Fan ◽  
Nikhil N. Chaudhari ◽  
Van Ngo ◽  
Fan Zhang ◽  
...  

Although diffusion tensor imaging (DTI) can identify white matter (WM) alterations due to mild cases of traumatic brain injury (mTBI), the task of within-subject longitudinal matching of DTI streamlines remains challenging in this condition. Here we combine (A) automatic, atlas-informed labeling of WM streamline clusters with (B) streamline prototyping and (C) Riemannian matching of elastic curves to quantitate within-subject WM changes, focusing on the arcuate fasciculus. The approach is demonstrated in a group of geriatric mTBI patients imaged acutely and ~6 months post-injury. Results highlight the utility of differential geometry approaches when quantifying brain connectivity alterations due to mTBI.


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