28 papers · ranked by Valyu relevance
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…
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…
Zihao Tang, Xinyi Wang, Lihaowen Zhu, Mariano Cabezas + 4 more
'Michael Barnett' 'Weidong Cai' 'Chenyu Wang'] Abstract—Diffusion Weighted Imaging (DWI) is an advanced imaging technique commonly used in neuroscience and neurological clinical research through a Diffusion Tensor Imaging (DTI) model. Volumetric scalar metrics including fractional anisotropy, mean diffusivity, and…
Alexandru V. Avram, Kadharbatcha S. Saleem, Peter J. Basser
High-resolution imaging studies have consistently shown that in cortical tissue water diffuses 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 the relative contributions from…
Kulam Najmudeen Magdoom, Alexandru V. Avram, Joelle E. Sarlls, Gasbarra Dario + 1 more
Neural tissue microstructure plays an important role in developmental, physiological and pathophysiological processes. Diffusion tensor distribution (DTD) MRI helps probe heterogeneity at the mesoscopic length scale, orders of magnitude smaller than the nominal MRI voxel size, by describing water diffusion within a…
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…
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…
Artur Tadeusz Krzyzak, Julia Lasek, Agnieszka Slowik
1## Introduction Diffusion Tensor Imaging (DTI) is an MRI technique that utilizes the phenomenon of water diffusion (1, 2) as a natural source of contrast. Since its introduction nearly three decades ago (3), DTI has become an important modality in neuroradiology, with increasing utility in the imaging of the…
Amandine Crombé, Renaud Nicolas, Nathalie Richard, Thomas Tourdias + 1 more
'Bassem Hiba'] Several studies have highlighted the value of diffusion tensor imaging (DTI) with strong diffusion weighting to reveal white matter microstructural lesions, but data in gray matter (GM) remains scarce. Herein, the effects of b-values combined with different numbers of diffusion-encoding directions…
Lang Zhang, Jinling He, Dong Liang, Hairong Zheng + 1 more
Diffusion Model Authors: ['Lang Zhang' 'Jinling He' 'Dong Liang' 'Hairong Zheng' 'Yanjie Zhu'] Abstract— Magnetic resonance diffusion tensor imaging (DTI) is a critical tool for neural disease diagnosis. However, long scan time greatly hinders the widespread clinical use of DTI. To accelerate image acquisition, a…
Anna Caroli
Since its discovery in the 1980s [1], diffusion-weighted MRI (DWI), a non-invasive imaging method that does not require any tracer injection, has experienced exponential growth, becoming a pillar of modern clinical imaging. DWI enables the investigation of tissue microstructure. In fact, during their random…
Ahmad Joman Alghamdi, Laura Bonzano
Diffusion tensor imaging (DTI) showed its adequacy in evaluating the normal-appearing white matter (NAWM) and lesions in the brain that are difficult to evaluate with routine clinical magnetic resonance imaging (MRI) in multiple sclerosis (MS). Recently, MRI systems have been developed with regard to software and…
Lydiane Hirschler, Nico Sollmann, Bárbara Schmitz‐Abecassis, Joana Pinto + 37 more
'Joana Pinto' 'Fatemehsadat Arzanforoosh' 'Frederik Barkhof' 'Thomas Booth' 'Marta Calvo‐Imirizaldu' 'Guilherme Cassia' 'Marek Chmelik' 'Patricia Clement' 'Ece Ercan' 'Maria A. Fernández‐Seara' 'Julia Furtner' 'Elies Fuster‐Garcia' 'Matthew Grech‐Sollars' 'Nazmiye Tugay Guven' 'Gokce Hale Hatay' 'Golestan Karami' 'Vera…
Tomasz Pieciak, Guillem París, Santiago Aja-Fernández, Antonio Tristán-Vega
Diffusion tensor imaging (DTI) corrected for the free-water (FW) enables the separation of a hindered Gaussian-like profile from an isotropic component, which represents diffusion found in cerebrospinal and interstitial fluids within the extracellular space of grey and white matter. The assessment of the…
Leevi Kerkelä, Kiran K. Seunarine, Rafael Neto Henriques, Jonathan D. Clayden + 1 more
'Jonathan D. Clayden' 'Chris A. Clark'] Diffusion kurtosis imaging is an extension of diffusion tensor imaging that provides scientifically and clinically valuable information about brain tissue microstructure but suffers from poor robustness to noise, especially in voxels containing tightly packed aligned axons. We…
Rafael Neto Henriques, Richard N. Henson, Cam‐CAN, Marta Correia
R.N.H. was supported by the Scientific Employment Stimulus 4th Edition from Fundação para a Ciência e Tecnologia, Portugal, ref 2021.02777.CEECIND. R.H. was supported by MRC programme grant SUAG/046 G101400. Cam-CAN was supported by the Biotechnology and Biological Sciences Research Council under grant BB/H008217/1.…
Tadashi Shiohama, Keita Tsujimura
Congenital genetic disorders often present with neurological manifestations such as neurodevelopmental disorders, motor developmental retardation, epilepsy, and involuntary movement. Through qualitative morphometric evaluation of neuroimaging studies, remarkable structural abnormalities, such as lissencephaly…
Maxime Yon, Omar Narvaez, Daniel Topgaard, Alejandra Sierra
Massively Multidimensional Diffusion MRI combines tensor-valued encoding, oscillating gradients, and diffusion-relaxation correlation to provide multicomponent sub-voxel parameters depicting the tissue microstructure. This method was successfully implemented ex vivo in micro-imaging systems and in clinical conditions…
Maryam Afzali, Sam Coveney, Lars Mueller, Sarah Jones + 7 more
Diffusion tensor imaging (DTI) is commonly used in cardiac diffusion magnetic resonance imaging (dMRI). However, the tissue’s microstructure (cells, membranes, etc.) restricts the movement of the water molecules, making the spin displacements deviate from Gaussian behaviour. This effect may be observed with diffusion…
Yixue Feng, Bramsh Q. Chandio, Julio E. Villalon-Reina, Sophia I. Thomopoulos + 12 more
Diffusion MRI is sensitive to the microstructural properties of brain tissues, and shows great promise in detecting the effects of degenerative diseases. However, many approaches analyze single measures averaged over regions of interest, without considering the underlying fiber geometry. Here, we propose a novel…
Megan E. Farquhar, Qianqian Yang, Viktor Vegh
q.yang@qut.edu.au (Qianqian Yang) 1School of Mathematical Sciences, Faculty of Science, Queensland University of Technology, Brisbane, Australia; 2Centre for Data Science, Queensland University of Technology, Brisbane, Australia; 3Centre for Biomedical Technologies, Queensland University of Technology, Brisbane…
Yuhan Shuai, Yixue Feng, Julio E. Villalon-Reina, Talia M. Nir + 3 more
Tractometry enables detailed mapping of white matter microstructure along individual tracts and is widely used to study disease effects such as those seen in Alzheimer’s disease (AD). However, how different tractography algorithms influence tractometry outcomes remains unclear. Here, we compared whole-brain…
Arthur P C Spencer, Jasmine Nguyen-Duc, Inès de Riedmatten, Filip Szczepankiewicz + 1 more
Functional MRI (fMRI) using the blood-oxygen level dependent (BOLD) signal provides valuable insight into grey matter activity. However, uncertainty surrounds the white matter BOLD signal. Apparent diffusion coefficient (ADC) offers an alternative fMRI contrast sensitive to transient cellular deformations during neural…
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…
Balázs Fábián, Matti Javanainen
Curved membranes are abundant and functionally relevant in living matter, yet they have eluded computational studies due to methodological limitations. With multiple approaches available for setting up simulations on such curved membranes, there is a growing need for efficient and versatile tools to analyze their…
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…
Shuchen Wang, Anna Constantinou, Guanglei Zhang, Yihuai Zhang + 7 more
The current need to develop alternative agricultures that preserve soil health with a reduced contribution to climate change, has led to a growth of interest in understanding natural processes within soil. This creates a demand for 3D imaging techniques that dynamically image soil processes such as fluid and nutrient…