Use of fluid attenuated inversion recovery (FLAIR) pulse sequences in MRI of the brain

JV Hajnal, DJ Bryant, L Kasuboski… - Journal of computer …, 1992 - journals.lww.com
Fluid attenuated inversion recovery pulse sequences with a long echo time (TE) have been
used to image the brain in one volunteer and four patients. The long inversion time used with …

[PDF][PDF] High signal regions in normal white matter shown by heavily T2-weighted CSF nulled IR sequences

JV Hajnal, B De Coene, PD Lewis… - J Comput Assist …, 1992 - mriquestions.com
Inversion recovery (IR) sequences with an inversion time (TI) designed to markedly reduce or
null the signal from CSF (TI of-2, 100 ms at 1.0 T) and a very long echo time (TE) of 240 ms …

Detection of subtle brain changes using subvoxel registration and subtraction of serial MR images

JV Hajnal, N Saeed, A Oatridge… - Journal of computer …, 1995 - journals.lww.com
Objective: The aim of this study was to examine the potential of accurate image registration
for detecting subtle changes in the brain. Materials and Methods: Isotropic T1-weighted …

Area V5 of the human brain: evidence from a combined study using positron emission tomography and magnetic resonance imaging

…, R Myers, RSJ Frackowiak, JV Hajnal… - Cerebral …, 1993 - academic.oup.com
In pursuing our work on the organization of human visual cortex, we wanted to specify more
accurately the position of the visual motion area (area V5) in relation to the sulcal and gyral …

A dedicated neonatal brain imaging system

…, MA Rutherford, SJ Counsell, JV Hajnal - Magnetic resonance …, 2017 - Wiley Online Library
Purpose The goal of the Developing Human Connectome Project is to acquire MRI in 1000
neonates to create a dynamic map of human brain connectivity during early development. …

[BOOK][B] Medical image registration

JV Hajnal, DLG Hill - 2001 - taylorfrancis.com
Joseph Hajnal is head of physics and engineering at the Robert Steiner Magnetic Resonance
Hajnal began research in medical imaging with a special interest in magnetic resonance …

A deep cascade of convolutional neural networks for dynamic MR image reconstruction

J Schlemper, J Caballero, JV Hajnal… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Inspired by recent advances in deep learning, we propose a framework for reconstructing
dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data …

Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy

P Aljabar, RA Heckemann, A Hammers, JV Hajnal… - Neuroimage, 2009 - Elsevier
Quantitative research in neuroimaging often relies on anatomical segmentation of human
brain MR images. Recent multi-atlas based approaches provide highly accurate structural …

Automatic anatomical brain MRI segmentation combining label propagation and decision fusion

RA Heckemann, JV Hajnal, P Aljabar, D Rueckert… - NeuroImage, 2006 - Elsevier
Regions in three-dimensional magnetic resonance (MR) brain images can be classified
using protocols for manually segmenting and labeling structures. For large cohorts, time and …

Artifacts due to stimulus correlated motion in functional imaging of the brain

JV Hajnal, R Myers, A Oatridge… - Magnetic resonance …, 1994 - Wiley Online Library
To assess the effect of stimulus correlated motion on the appearance of functional magnetic
resonance images, conventional visual and motor protocols were each performed by four …