User profiles for J.V. Hajnal

Jo Hajnal

Professor of Imaging Science, Kings College London
Verified email at kcl.ac.uk
Cited by 47160

Parallel transmission for ultrahigh‐field imaging

F Padormo, A Beqiri, JV Hajnal, SJ Malik - NMR in Biomedicine, 2016 - Wiley Online Library
The development of MRI systems operating at or above 7 T has provided researchers with a
new window into the human body, yielding improved imaging speed, resolution and signal‐…

MR imaging of anisotropically restricted diffusion of water in the nervous system: technical, anatomic, and pathologic considerations

JV Hajnal, M Doran, AS Hall, AG Collins… - Journal of computer …, 1991 - journals.lww.com
The use of MR imaging to image anisotropically restricted diffusion (ARD) of water in the
nervous system is described. The theoretical basis for the use of the pulsed gradient spin echo …

[HTML][HTML] Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

…, AD Edwards, SM Smith, JD Tournier, JV Hajnal… - Neuroimage, 2019 - Elsevier
The developing Human Connectome Project is set to create and make available to the
scientific community a 4-dimensional map of functional and structural cerebral connectivity from …

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 …

[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
JV Hajnal and AN Price are with the Division of Imaging Sciences and the Biomedical
Engineering … Rueckert, and JV Hajnal, “Dictionary learning and time sparsity for dynamic MR 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 …

Use of multicoil arrays for separation of signal from multiple slices simultaneously excited

DJ Larkman, JV Hajnal, AH Herlihy… - Journal of Magnetic …, 2001 - Wiley Online Library
Increased acquisition efficiency has been achieved by exciting several slices simultaneously.
The mixed data were unfolded to produce separate slices using the spatial encoding …

Microstructured magnetic materials for RF flux guides in magnetic resonance imaging

…, IR Young, DJ Larkman, DJ Gilderdale, JV Hajnal - Science, 2001 - science.org
Magnetic resonance imaging and spectroscopy systems use coils, either singly or as arrays,
to intercept radio-frequency (RF) magnetic flux from regions of interest, often deep within the …