Results 61 to 70 of about 12,150 (200)
ABSTRACT Purpose Slice interleaving, a limited phase encode (PE) field of view (FOV), and effective fat suppression are vital for efficient cardiac diffusion tensor imaging (cDTI) with minimal artifacts. This study aimed to optimize reduced FOV and fat suppression methods for interleaved multislice cDTI to improve signal‐to‐noise ratio (SNR) and ...
Yaqing Luo +7 more
wiley +1 more source
Space-Varying Coefficient Models for Brain Imaging [PDF]
The methodological development and the application in this paper originate from diffusion tensor imaging (DTI), a powerful nuclear magnetic resonance technique enabling diagnosis and monitoring of several diseases as well as reconstruction of neural ...
Marx, Brian D. +3 more
core +1 more source
ABSTRACT Purpose To evaluate a third‐order motion‐compensated spin echo (M3‐MCSE) sequence at multiple cardiac phases on a clinical 3 T MRI scanner with ultra‐high performance (UHP) gradients (200 mT/m), compared with stimulated echo acquisition mode (STEAM) and second‐order MCSE (M2‐MCSE) for cardiac diffusion tensor imaging (cDTI).
Ke Wen +8 more
wiley +1 more source
ABSTRACT Purpose To investigate the utility of a recently demonstrated diffusion MRI derived axon diameter surrogate measure (∆D⟂) under pathologic conditions induced by a spinal cord injury model. Methods Contusion injuries were performed on the thoracic–lumbar spinal cord of adult male rats.
Hannah E. Alderson +4 more
wiley +1 more source
High-angular resolution diffusion tensor imaging: physical foundation and geometric framework
This paper proposes a statistical physics-based data assimilation model for the mobility of water-bound hydrogen nuclear spins in the brain in the context of diffusion weighted magnetic resonance imaging (DWI or DW-MRI).
Luc Florack, Rick Sengers
doaj +1 more source
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe +4 more
wiley +1 more source
Combining DTI and fMRI to investigate language lateralisation [PDF]
Hemispheric lateralisation in the human brain has been a focus of interest in different fields of neurosciences since a long time (Galaburda, LeMay, Kemper, & Geschwind, 1978; Rubino, 1970).
Barsaglini, Alessio
core
ABSTRACT Purpose To develop a reconstruction framework for DW‐PROPELLER‐EPI that improves image quality and SNR efficiency under per‐blade acceleration while minimizing EPI‐related artifacts, enabling high‐resolution diffusion‐tensor imaging (DTI) with fewer blades.
Hailin Xiong +7 more
wiley +1 more source
ABSTRACT Aims Empagliflozin is renoprotective in Type 2 diabetes mellitus (T2DM). Our primary aim was to assess empagliflozin's effect on glomerular filtration rate and renal vascular resistance using multiparametric MRI (MpMRI). Our secondary aim was to assess the impact of empagliflozin on additional MpMRI‐derived metrics including markers of tissue ...
Ruth P. Lim +9 more
wiley +1 more source
Diffusion Tensor Imaging (DTI) of the Pediatric Spinal Cord [PDF]
Diffusion Tensor Imaging (DTI) is a technique for noninvasively examining diffusion of water molecules in each voxel of an image in directions parallel and transverse to the plane of neuronal axons.
Barakat, Nadia
core +1 more source

