Motion artifacts in MRI: A complex problem with many partial solutions
M Zaitsev, J Maclaren, M Herbst - Journal of Magnetic …, 2015 - Wiley Online Library
Subject motion during magnetic resonance imaging (MRI) has been problematic since its
introduction as a clinical imaging modality. While sensitivity to particle motion or blood flow …
introduction as a clinical imaging modality. While sensitivity to particle motion or blood flow …
[HTML][HTML] What's new and what's next in diffusion MRI preprocessing
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …
[HTML][HTML] An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging
In this paper we describe a method for retrospective estimation and correction of eddy
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …
Deep learning for undersampled MRI reconstruction
This paper presents a deep learning method for faster magnetic resonance imaging (MRI)
by reducing k-space data with sub-Nyquist sampling strategies and provides a rationale for …
by reducing k-space data with sub-Nyquist sampling strategies and provides a rationale for …
[BOOK][B] Fundamentals of computerized tomography: image reconstruction from projections
GT Herman - 2009 - books.google.com
This revised and updated second edition–now with two new chapters-is the only book to
give a comprehensive overview of computer algorithms for image reconstruction. It covers …
give a comprehensive overview of computer algorithms for image reconstruction. It covers …
Recurrent variational network: a deep learning inverse problem solver applied to the task of accelerated MRI reconstruction
Abstract Magnetic Resonance Imaging can produce detailed images of the anatomy and
physiology of the human body that can assist doctors in diagnosing and treating pathologies …
physiology of the human body that can assist doctors in diagnosing and treating pathologies …
Calibrationless parallel imaging reconstruction based on structured low‐rank matrix completion
Purpose A calibrationless parallel imaging reconstruction method, termed simultaneous
autocalibrating and k‐space estimation (SAKE), is presented. It is a data‐driven, coil‐by‐coil …
autocalibrating and k‐space estimation (SAKE), is presented. It is a data‐driven, coil‐by‐coil …
A survey on the magnetic resonance image denoising methods
Over the past several years, although the resolution, signal-to-noise ratio and acquisition
speed of magnetic resonance imaging (MRI) technology have been increased, MR images …
speed of magnetic resonance imaging (MRI) technology have been increased, MR images …
Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI
The key component of a microstructural diffusion MRI 'super-scanner'is a dedicated high-
strength gradient system that enables stronger diffusion weightings per unit time compared …
strength gradient system that enables stronger diffusion weightings per unit time compared …
B-spline parameterized joint optimization of reconstruction and k-space trajectories (bjork) for accelerated 2d mri
Optimizing k-space sampling trajectories is a promising yet challenging topic for fast
magnetic resonance imaging (MRI). This work proposes to optimize a reconstruction method …
magnetic resonance imaging (MRI). This work proposes to optimize a reconstruction method …