Polymorph segmentation representation for medical image computing
Background and objective Segmentation is a ubiquitous operation in medical image
computing. Various data representations can describe segmentation results, such as …
computing. Various data representations can describe segmentation results, such as …
Generalized total variation-based MRI Rician denoising model with spatially adaptive regularization parameters
Magnetic resonance imaging (MRI) is an outstanding medical imaging modality but the
quality often suffers from noise pollution during image acquisition and transmission. The …
quality often suffers from noise pollution during image acquisition and transmission. The …
Functional rewiring across spinal injuries via biomimetic nanofiber scaffolds
S Usmani, A Franceschi Biagioni… - Proceedings of the …, 2020 - National Acad Sciences
The regrowth of severed axons is fundamental to reestablish motor control after spinal-cord
injury (SCI). Ongoing efforts to promote axonal regeneration after SCI have involved multiple …
injury (SCI). Ongoing efforts to promote axonal regeneration after SCI have involved multiple …
Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI
S Correia, SY Lee, T Voorn, DF Tate, RH Paul, S Zhang… - Neuroimage, 2008 - Elsevier
We present new quantitative diffusion-tensor imaging (DTI) tractography-based metrics for
assessing cerebral white matter integrity. These metrics extend prior work in this area …
assessing cerebral white matter integrity. These metrics extend prior work in this area …
3D imaging of the brain morphology and connectivity defects in a model of psychiatric disorders: MAP6-KO mice
U Gimenez, B Boulan, F Mauconduit, F Taurel… - Scientific Reports, 2017 - nature.com
In the central nervous system, microtubule-associated protein 6 (MAP6) is expressed at high
levels and is crucial for cognitive abilities. The large spectrum of social and cognitive …
levels and is crucial for cognitive abilities. The large spectrum of social and cognitive …
Fibre orientation of fresh and frozen porcine aorta determined non-invasively using diffusion tensor imaging
Diffusion tensor imaging analysis was applied to fresh and frozen porcine aortas in order to
determine fibre orientation. Fresh and stored frozen porcine aortas were imaged in a 7T …
determine fibre orientation. Fresh and stored frozen porcine aortas were imaged in a 7T …
[HTML][HTML] Structural interhemispheric connectivity defects in mouse models of BBSOAS: Insights from high spatial resolution 3D white matter tractography
JC Deloulme, M Leclercq, O Deschaux, G Flore… - Neurobiology of …, 2024 - Elsevier
White matter (WM) tract formation and axonal pathfinding are major processes in brain
development allowing to establish precise connections between targeted structures …
development allowing to establish precise connections between targeted structures …
Prediction of motor recovery in patients with basal ganglia hemorrhage using diffusion tensor imaging
YS Min, KE Jang, E Park, AR Kim, MG Kang… - Journal of clinical …, 2020 - mdpi.com
Predicting prognosis in patients with basal ganglia hemorrhage is difficult. This study aimed
to investigate the usefulness of diffusion tensor imaging in predicting motor outcome after …
to investigate the usefulness of diffusion tensor imaging in predicting motor outcome after …
LONI MiND: metadata in NIfTI for DWI
A wide range of computational methods have been developed for reconstructing white
matter geometry from a set of diffusion-weighted images (DWIs), and many clinical studies …
matter geometry from a set of diffusion-weighted images (DWIs), and many clinical studies …
[PDF][PDF] Imaging arterial fibres using diffusion tensor imaging—Feasibility study and preliminary results
MR diffusion tensor imaging (DTI) was used to analyze the fibrous structure of aortic tissue.
A fresh porcine aorta was imaged at 7T using a spin echo sequence with the following …
A fresh porcine aorta was imaged at 7T using a spin echo sequence with the following …