Results 151 to 160 of about 2,854 (185)

White matter microstructure differences between 15q11.2 copy number variation carriers and non-carriers in mid-to-late life. [PDF]

Transl Psychiatry
Korbmacher M, Boen R, Andreassen OA, Westlye LT, Sønderby IE, Maximov II.   +5 more
europepmc   +1 more source

Physics, Techniques and Review of Neuroradiological Applications of Diffusion Kurtosis Imaging (DKI)

Clinical Neuroradiology, 2015
In recent years many papers about diagnostic applications of diffusion tensor imaging (DTI) have been published. This is because DTI allows to evaluate in vivo and in a non-invasive way the process of diffusion of water molecules in biological tissues.
Maurizio Marrale, G Collura, M Brai
exaly   +6 more sources

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Development of voxel-based optimization diffusion kurtosis imaging (DKI) and comparison with conventional DKI

Radiological Physics and Technology, 2019
The aims of this study were to implement voxel-based optimization diffusion kurtosis imaging (DKI) and evaluate the accuracy of the method for the analysis of diffusion imaging data in comparison with conventional DKI. Conventional DKI and voxel-based optimization DKI were tested on a phantom and a human in a 1.5 T whole-body scanner.
exaly   +3 more sources

DTI - DKI fitting: a graphical toolbox for estimation and visualization of diffusion tensor and diffusion kurtosis imaging

Proceedings of SPIE, 2015
Diffusion weighted magnetic resonance images(DW-MRI) such as diffusion tensor imaging(DTI) and diffusion kurtosis imaging(DKI) are widely used in understanding the complex cellular microstructures non-invasively. With the increased usage of DTI and DKI in the recent years, the need for software packages for processing magnetic resonance(MR) diffusion ...
Rajikha Raja, Neelam Sinha, Jitender Saini   +2 more
exaly   +2 more sources

Spatially Selective 2D RF Inner Field of View (iFOV) Diffusion Kurtosis Imaging (DKI) of the Pediatric Spinal Cord [PDF]

, 2015
Magnetic resonance based diffusion imaging has been gaining more utility and clinical relevance over the past decade. Using conventional echo planar techniques it is possible to acquire and characterize water diffusion within the central nervous system (CNS); namely in the form of Diffusion Weighted Imaging (DWI) and Diffusion Tensor Imaging (DTI ...
Conklin, Chris J.
openaire   +2 more sources

Toward more robust and reproducible diffusion kurtosis imaging [PDF]

Magnetic Resonance in Medicine, 2021
Purpose The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis values.
Rafael Neto Henriques, Sune Nørhøj Jespersen, Derek K Jones   +2 more
exaly   +2 more sources

MR diffusion kurtosis imaging for neural tissue characterization

NMR in Biomedicine, 2010
In conventional diffusion tensor imaging (DTI), water diffusion distribution is described as a 2nd-order three-dimensional (3D) diffusivity tensor. It assumes that diffusion occurs in a free and unrestricted environment with a Gaussian distribution of ...
Ed X Wu, Matthew M Cheung
exaly   +2 more sources

Optimal Experimental Design for Diffusion Kurtosis Imaging

IEEE Transactions on Medical Imaging, 2010
: Diffusion kurtosis imaging (DKI) is a new magnetic resonance imaging (MRI) model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI parameters, such as the radial or axial kurtosis, are more sensitive to ...
Dirk H J Poot, Arnold J Den Dekker, E Achten   +2 more
exaly   +1 more source

T2*-weighted imaging and diffusion kurtosis imaging (DKI) of rectal cancer: correlation with clinical histopathologic prognostic factors

Abdominal Radiology, 2021
Histopathologic prognostic factors of rectal cancer are closely associated with local recurrence and distant metastasis. We aim to investigate the feasibility of T2*WI in assessment of clinical prognostic factors of rectal cancer, and compare with DKI.This retrospective study enrolled 50 out of 205 patients with rectal cancer according to the inclusion
Shan, Hu, Yang, Peng, Qiushi, Wang, Bin, Liu, Ihab, Kamel, Zaiyi, Liu, Changhong, Liang   +6 more
openaire   +2 more sources