Transform learning for magnetic resonance image reconstruction: From model-based learning to building neural networks

B Wen, S Ravishankar, L Pfister… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
… some recent works in MRI reconstruction from limited data, … -filling) inverse fast Fourier
transform (FFT) reconstruction is used… a tutorial intended to unify all recent TL-MRI schemes and to …

From Fourier Transforms to Surgical Imaging

TM Peters - True Tales of Medical Physics: Insights into a Life …, 2022 - Springer
use of CT and MRI as tools for Neurosurgery planning and guidance, ultrasound as a modality
to guide … properties of lenses in tomographic image reconstruction, we built a prototype …

Magnetic resonance imaging basics

AS Minhas, R Oliver - Electrical Properties of Tissues: Quantitative …, 2022 - Springer
… for MRI signal in spatial domain and k-space domain. Then we describe the image reconstruction
methods typically used in MRI… Taking inverse Fourier transform, we obtain the complex …

Non-Cartesian MRI reconstruction

H Eggers, M Kircheis, D Potts - … in Magnetic Resonance Technology and …, 2022 - Elsevier
… the use of a multidimensional inverse fast Fourier transform (FFT) for image reconstruction
… The combination of sampling k-space on a Cartesian grid and reconstructing images based …

[HTML][HTML] Joint frequency and image space learning for MRI reconstruction and analysis

NM Singh, JE Iglesias, E Adalsteinsson… - The journal of …, 2022 - ncbi.nlm.nih.gov
… whose Fourier transforms are not bandlimited to the size of our filter kernels. The combination
of these advances promises to significantly improve reconstruction and analysis of MRI

[图书][B] Magnetic resonance image reconstruction: theory, methods, and applications

M Akcakaya, MI Doneva, C Prieto - 2022 - books.google.com
… Code examples and tutorials are provided for some of the MRI reconstruction methods
discussed in this book. The tutorials can be accessed at https:// www. elsevier. com/books-and-…

Approaches for Image Reconstruction in Low-Field Magnetic Resonance Imaging

J Obungoloch, E Ahishakiye - 2021 - researchsquare.com
… The fast Fourier transform (FFT) is an e cient method for … inverse discrete Fourier transform
(IDFT) approach is used in MRI and is implemented as an inverse Fourier transform (IFT) from

Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data

S Wang, T Xiao, Q Liu, H Zheng - Biomedical Signal Processing and …, 2021 - Elsevier
… to this field by pointing out good tutorial resources, state-of-… Where F H represents the
inverse Fourier transform operation, … RefineGAN for fast and accurate CS-MRI reconstruction. …

Brief Introduction to MRI Physics

J Touraisa, C Colettia… - … Image Reconstruction …, 2022 - books.google.com
… to directly employ the fast Fourier transform, and advanced reconstruction methods are
necessary. Further details regarding non-Cartesian trajectories and reconstruction will be …

[HTML][HTML] A review and experimental evaluation of deep learning methods for MRI reconstruction

A Pal, Y Rathi - The journal of machine learning for biomedical …, 2022 - ncbi.nlm.nih.gov
Reconstructing high-resolution MR images from the … of MR image reconstruction from noisy
measurements using Deep Learning (… The combined y, y missing is Fourier transformed and …