25 papers · ranked by Valyu relevance
José M. Soares, Paulo Marques, Victor Alves, Nuno Sousa
Diffusion Tensor Imaging (DTI) studies are increasingly popular among clinicians and researchers as they provide unique insights into brain network connectivity. However, in order to optimize the use of DTI, several technical and methodological aspects must be factored in. These include decisions on: acquisition…
Eleftherios Garyfallidis, Matthew Brett, Bagrat Amirbekian, Ariel Rokem + 3 more
'Ariel Rokem' 'Stefan van der Walt' 'Maxime Descoteaux' 'Ian Nimmo-Smith' ''] Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an application of MRI that can be used to measure structural features…
Matteo Bastiani, Alard Roebroeck
The structural architecture and the anatomical connectivity of the human brain show different organizational principles at distinct spatial scales. Histological staining and light microscopy techniques have been widely used in classical neuroanatomical studies to unravel brain organization. Using such techniques is a…
Richa Trivedi, Ram KS Rathore, Rakesh K Gupta
Diffusion tensor imaging (DTI), a relatively new MRI technique, has generated a tremendous amount of interest in the clinical and laboratory domains. This modality measures the Brownian motion of water molecules in tissue. Two aspects of DTI, i.e., the microscopic length scale and orientation information render the…
Thomas J. Whitford, Marek Kubicki, Martha E. Shenton
A fundamental tenet of the “disconnectivity” theories of schizophrenia is that the disorder is ultimately caused by abnormal communication between spatially disparate brain structures. Given that the white matter fasciculi represent the primary infrastructure for long distance communication in the brain, abnormalities…
Joseph Saliba, Andrew Steven, John Franklin Berry, Edison P. Valle-Giler
'Edison P. Valle-Giler'] Background: Diffusion tensor imaging (DTI) is a magnetic resonance-based imaging technique that can provide important information about the underlying structure and integrity of the white matter in the brain. Tractography, a DTI postprocessing technique, can provide a detailed model of…
Ciara J. Molloy, Sinead Nugent, Arun L.W. Bokde
This study aimed to evaluate the linear association of age with diffusion tensor imaging (DTI) measures of white matter such as fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD). We assessed patterns of overlap between linear correlations of age with FA with RD, MD…
Maxime Yon, João P. de Almeida Martins, Qingjia Bao, Matthew D. Budde + 2 more
'Matthew D. Budde' 'Lucio Frydman' 'Daniel Topgaard'] Diffusion tensor distribution (DTD) imaging builds on principles from diffusion, solid-state and low-field NMR spectroscopies, to quantify the contents of heterogeneous voxels as nonparametric distributions, with tensor “size”, “shape” and orientation having direct…
Mohammed Khader, Amir Hamza
We propose a nonrigid registration approach for diffusion tensor images using a multicomponent information-theoretic measure. Explicit orientation optimization is enabled by incorporating tensor reorientation, which is necessary for wrapping diffusion tensor images. Experimental results on diffusion tensor images…
Davood Karimi, Ali Gholipour
—Diffusion tensor imaging (DTI) is a widely used method for studying brain white matter development and degeneration. However, standard DTI estimation methods depend on a large number of high-quality measurements. This would require long scan times and can be particularly difficult to achieve with certain patient…
Zejun Wu, Jiechao Wang, Zunquan Chen, Qinqin Yang + 3 more
'Zhong Chen' 'Congbo Cai'] Abstract. Objective: Most deep neural network-based diffusion tensor imaging methods require the diffusion gradients' number and directions in the data to be reconstructed to match those in the training data. This work aims to develop and evaluate a novel dynamic-convolution-based method…
Alexandru V. Avram, Kadharbatcha S. Saleem, Peter J. Basser
Diffusion MRI studies with resolutions of a few hundred micrometers have consistently shown that in the cortex water diffusion occurs preferentially along radial and tangential orientations with respect to the cortical surface, in agreement with histology. These dominant orientations do not change significantly even if…
Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jon̈athan R. Polimeni + 3 more
'Berkin Bilgiç' 'David H. Salat' 'Susie Y. Huang'] Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, the noise in the diffusionweighted images (DWIs) decreases the accuracy and precision…
Kanza Awais, Žiga Snoj, Erika Cvetko, Igor Serša + 3 more
'Federico Bruno' 'Ayesha Jameel'] The magnetic resonance Diffusion Tensor Imaging (DTI) is a powerful extension of Diffusion Weighted Imaging (DWI) utilizing multiple bipolar gradients, allowing for the evaluation of the microstructural environment of the highly anisotropic tissues. DTI was predominantly used for the…
Loxlan W. Kasa, Roy A.M. Haast, Tristan K. Kuehn, Farah N. Mushtaha + 3 more
Diffusion kurtosis imaging (DKI) quantifies the microstructure’s non-Gaussian diffusion properties. However, it has increased fitting parameters and requires higher b-values. Evaluation of DKI reproducibility is important for clinical purposes. To assess reproducibility in whole-brain high resolution DKI at varying…
Santiago Aja-Fernández, Rodrigo de Luis-García, Maryam Afzali, Malwina Molendowska + 2 more
In diffusion MRI, the Ensemble Average diffusion Propagator (EAP) provides relevant microstructural information and meaningful descriptive maps of the white matter previously obscured by traditional techniques like the Diffusion Tensor. The direct estimation of the EAP, however, requires a dense sampling of the…
Markus Nilsson, Filip Szczepankiewicz, Jan Brabec, Marie E. Taylor + 4 more
'Carl‐Fredrik Westin' 'Alexandra J. Golby' 'Danielle van Westen' 'Pia C. Sundgren'] Results: The fast imaging protocol yielded parameters with characteristics in terms of bias and precision similar to the full protocol. Glioblastomas had lower microscopic anisotropy than meningiomas (MKA = 0.29±0.06 versus 0.45±0.08, p…
Alexis Reymbaut, Alex Valcourt Caron, Guillaume Gilbert, Filip Szczepankiewicz + 4 more
'Filip Szczepankiewicz' 'Markus Nilsson' 'Simon K. Warfield' 'Maxime Descoteaux' 'Benoît Scherrer'] Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging but also presents limited specificity. To tackle this problem, the DIAMOND model…
Rafael Neto Henriques, Marta Correa, Maurizio Maralle, Elizabeth Huber + 5 more
Diffusion-weighted magnetic resonance imaging (dMRI) measurements and models provide information about brain connectivity and are sensitive to the physical properties of tissue microstructure. Diffusional Kurtosis Imaging (DKI) quantifies the degree of non-Gaussian diffusion in biological tissue from dMRI. These…
Zezhong Ye, Sam E. Gary, Peng Sun, Sourajit Mitra Mustafi + 9 more
Diffusion tensor imaging (DTI) has been employed for over two decades to noninvasively quantify central nervous system (CNS) diseases/injuries. However, DTI is an inadequate simplification of diffusion modeling in the presence of co-existing inflammation, edema, and crossing nerve fibers. We employed a tissue phantom…
Brian Hansen, Ahmad Raza Khan, Noam Shemesh, Torben E. Lund + 4 more
'Ryan Sangill' 'Simon F. Eskildsen' 'Leif Østergaard' 'Sune Nørhøj Jespersen'] - AWF: axonal water fraction aWMTI: axial white matter tract integrity CSF: cerebrospinal fluid DDE: Double diffusion encoding DKI: Diffusion kurtosis imaging DTI: Diffusion tensor imaging DW: diffusion weighted EM: electron microscopy EPI…
Santiago Aja-Fernández, Antonio Tristán-Vega, Derek Jones
The Propagator Anisotropy (PA) is a measurement of the orientational variability inside a tissue estimated from diffusion MRI using the Ensemble Average diffusion Propagator (EAP). It is based on the quantification of the angular difference between the propagator in a specific voxel and its isotropic counterpart. The…
Maxwell Venetos, Mingjian Wen, Kristin Persson
The nuclear magnetic resonance (NMR) chemical shift tensor is a highly sensitive probe of the electronic structure of an atom and furthermore its local structure. Re- cently, machine learning has been applied to NMR in the prediction of isotropic chemi- cal shifts from a structure. Current machine learning models…
Marc Azagra, David Gomez-Cabeza, Alejandro Portela, Gergo Matajsz + 3 more
To foster the efficient development of 3D cell culture models, we developed a strategy to assess the liquid flow perfusion through biocompatible scaffolds. Biocompatible scaffolds play a crucial role in creating 3D in vitro models for precision medicine. Therefore, it is imperative to thoroughly characterise the…
Sarthak Patnaik
We know that the diffusion is defined as the movement of molecules under a potential gradient. It is characterized by the diffusion coefficient. Diffusion coefficient determination can be done via various techniques, but in this paper, we have had a broad look at interferometry based optical methods for diffusion…