Potential of a statistical approach for the standardization of multicenter diffusion tensor data: A phantom study

2019 ◽  
Vol 49 (4) ◽  
pp. 955-965 ◽  
Author(s):  
Charlotte Timmermans ◽  
Dirk Smeets ◽  
Jan Verheyden ◽  
Vasilis Terzopoulos ◽  
Vincenzo Anania ◽  
...  
Keyword(s):  
Statistical Approach ◽  
Diffusion Tensor ◽  
Phantom Study ◽  
Tensor Data

scholarly journals Directional volume growing for the extraction of white matter tracts from diffusion tensor data

2005 ◽  
Author(s):  
D. Merhof ◽  
P. Hastreiter ◽  
C. Nimsky ◽  
R. Fahlbusch ◽  
G. Greiner
Keyword(s):  
White Matter ◽  
Diffusion Tensor ◽  
White Matter Tracts ◽  
Tensor Data

Morphometry on diffusion tensor data

NeuroImage ◽  
2001 ◽  
Vol 13 (6) ◽  
pp. 128 ◽  
Author(s):  
V. Glauche ◽  
M. Sach ◽  
M. Koch ◽  
G. Winkler ◽  
U. Nolte ◽  
...  
Keyword(s):  
Diffusion Tensor ◽  
Tensor Data

scholarly journals Streamline Visualization of Diffusion Tensor Data Based on Triangle Strips

2006 ◽  
pp. 271-275 ◽  
Author(s):  
Dorit Merhof ◽  
Markus Sonntag ◽  
Frank Enders ◽  
Christopher Nimsky ◽  
Peter Hastreiter ◽  
...  
Keyword(s):  
Diffusion Tensor ◽  
Triangle Strips ◽  
Tensor Data

Temperature measurement of intracranial cerebrospinal fluid using second-order motion compensation diffusion tensor imaging

2021 ◽  
Author(s):  
Shuhei Shibukawa ◽  
Tetsu Niwa ◽  
Tosiaki Miyati ◽  
Tetsuo Ogino ◽  
Daisuke Yoshimaru ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Diffusion Tensor Imaging ◽  
Motion Compensation ◽  
Diffusion Tensor ◽  
Human Study ◽  
Second Order ◽  
Phantom Study ◽  
System A ◽  
Magnetic Resonance Imaging Mri ◽  
The Relationship

Abstract AbstractTo reduce the determination errors of CSF pulsation in diffusion-weighted image (DWI) thermometry, we investigated whether applying second-order motion compensation diffusion tensor imaging (2nd-MC DTI) and fractional anisotropy (FA) processing improves the measurement of intracranial cerebrospinal fluid (CSF) temperature. In a phantom study, we investigated the relationship between temperature and FA in artificial CSF (ACSF) to determine the threshold for FA processing. The temperatures of ACSF were compared with those of water. In a human study, 18 healthy volunteers were scanned using conventional DTI (c-DTI) and 2nd-MC DTI on a 3.0T magnetic resonance imaging (MRI) system. A temperature map was created using diffusion coefficients from each DWI with/without FA processing. The temperatures of intracranial CSF were compared between each DTI image using Welch’s analysis of variance and Games–Howell’s multiple comparisons. In the phantom study, FA did not exceed 0.1 at any temperature. Consequently, pixels exceeding the threshold of 0.1 were removed from the temperature map. Intracranial CSF temperatures significantly differed between the four methods (p < 0.0001). The lowest temperature was 2nd-MC DTI with FA processing (mean, 35.62℃), followed in order by c-DTI with FA processing (mean, 36.16℃), 2nd-MC DTI (mean, 37.08℃), and c-DTI (mean, 39.08℃; p < 0.01 for each). Because the temperature of ACSF was estimated to be lower than that of water, the temperature of 2nd-DTI with FA processing was considered reasonable. The method of 2nd-MC DTI with FA processing enabled determining intracranial CSF temperature with a reduction in CSF pulsation.

Towards inference of human brain connectivity from MR diffusion tensor data

2001 ◽  
Vol 5 (1) ◽  
pp. 1-15 ◽  
Author(s):  
C. Poupon ◽  
J.-F. Mangin ◽  
C.A. Clark ◽  
V. Frouin ◽  
J. Régis ◽  
...  
Keyword(s):  
Human Brain ◽  
Diffusion Tensor ◽  
Brain Connectivity ◽  
Mr Diffusion ◽  
Tensor Data

Extracting skeletal muscle fiber fields from noisy diffusion tensor data

2011 ◽  
Vol 15 (3) ◽  
pp. 340-353 ◽  
Author(s):  
David I.W. Levin ◽  
Benjamin Gilles ◽  
Burkhard Mädler ◽  
Dinesh K. Pai
Keyword(s):  
Skeletal Muscle ◽  
Muscle Fiber ◽  
Diffusion Tensor ◽  
Skeletal Muscle Fiber ◽  
Tensor Data
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