[HTML][HTML] Pros and cons of ultra-high-field MRI/MRS for human application

ME Ladd, P Bachert, M Meyerspeer, E Moser… - Progress in nuclear …, 2018 - Elsevier
Magnetic resonance imaging and spectroscopic techniques are widely used in humans both
for clinical diagnostic applications and in basic research areas such as cognitive …

Noise contributions to the fMRI signal: An overview

TT Liu - NeuroImage, 2016 - Elsevier
The ability to discriminate signal from noise plays a key role in the analysis and
interpretation of functional magnetic resonance imaging (fMRI) measures of brain activity …

The NMR phased array

PB Roemer, WA Edelstein, CE Hayes… - Magnetic resonance …, 1990 - Wiley Online Library
We describe methods for simultaneously acquiring and subsequently combining data from a
multitude of closely positioned NMR receiving coils. The approach is conceptually similar to …

The Rician distribution of noisy MRI data

H Gudbjartsson, S Patz - Magnetic resonance in medicine, 1995 - Wiley Online Library
The image intensity in magnetic resonance magnitude images in the presence of noise is
shown to be governed by a Rician distribution. Low signal intensities (SNR< 2) are therefore …

Sequence-independent segmentation of magnetic resonance images

B Fischl, DH Salat, AJW Van Der Kouwe, N Makris… - Neuroimage, 2004 - Elsevier
We present a set of techniques for embedding the physics of the imaging process that
generates a class of magnetic resonance images (MRIs) into a segmentation or registration …

7T vs. 4T: RF power, homogeneity, and signal‐to‐noise comparison in head images

JT Vaughan, M Garwood, CM Collins… - … in Medicine: An …, 2001 - Wiley Online Library
Signal‐to‐noise ratio (SNR), RF field (B1), and RF power requirement for human head
imaging were examined at 7T and 4T magnetic field strengths. The variation in B1 …

Adaptive reconstruction of phased array MR imagery

DO Walsh, AF Gmitro… - Magnetic Resonance in …, 2000 - Wiley Online Library
An adaptive implementation of the spatial matched filter and its application to the
reconstruction of phased array MR imagery is described. Locally relevant array correlation …

[HTML][HTML] Complex diffusion-weighted image estimation via matrix recovery under general noise models

L Cordero-Grande, D Christiaens, J Hutter, AN Price… - Neuroimage, 2019 - Elsevier
We propose a patch-based singular value shrinkage method for diffusion magnetic
resonance image estimation targeted at low signal to noise ratio and accelerated …

On the definition of signal-to-noise ratio and contrast-to-noise ratio for fMRI data

M Welvaert, Y Rosseel - PloS one, 2013 - journals.plos.org
Signal-to-noise ratio, the ratio between signal and noise, is a quantity that has been well
established for MRI data but is still subject of ongoing debate and confusion when it comes …

MRI simulation-based evaluation of image-processing and classification methods

RKS Kwan, AC Evans, GB Pike - IEEE transactions on medical …, 1999 - ieeexplore.ieee.org
With the increased interest in computer-aided image analysis methods, there is a greater
need for objective methods of algorithm evaluation. Validation of in vivo MRI studies is …