Results 161 to 170 of about 49,303 (301)

Optimized Reduced Field of View and Fat Suppression Methods for Interleaved Multislice In Vivo Cardiac Diffusion Tensor Imaging

open access: yesMagnetic Resonance in Medicine, EarlyView.
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

Evaluation of Third‐Order Motion‐Compensated Cardiac Diffusion Tensor Imaging Across Cardiac Phases Using an Ultra‐High‐Performance Clinical Scanner

open access: yesMagnetic Resonance in Medicine, EarlyView.
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

GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler   +2 more
wiley   +1 more source

Physics‐Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi   +2 more
wiley   +1 more source

Field‐Based Spatial Self‐Registration of Multicoil Hardware for B0 Field Control

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and validate a magnetic field‐based method for self‐registration of multicoil (MC) shim hardware in MRI systems, enabling accurate B0 field control despite nonreproducible hardware placement between calibration and experimental sessions.
Isabelle Zinghini   +4 more
wiley   +1 more source

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