Right ventricular dysfunction assessed by cardiovascular
magnetic resonance imaging predicts poor prognosis late after myocardial infarction.
Physical examination, 12 lead electrocardiography, echocardiographic examination, Holter monitoring, cardiovascular
magnetic resonance imaging and angiography were performed in all patients.
Magnetic resonance imaging: role and understanding of cerebral malformations.
The cardiac
magnetic resonance (CMR) perfusion index provides a global measure of coronary artery disease.
The Nobel Assembly at the Karolinska Institutet in Sweden said the two joint winners had made "seminal discoveries" in the use of
magnetic resonance to visualise different structures.
'These discoveries have led to the development of modern
magnetic resonance imaging, MRI, which represents a breakthrough in medical diagnostics and research,' the assembly said.
"
Magnetic resonance enables researchers to open a biochemical window to the human body and allows scientists to study entities as small and static as a protein or as large and active as the human brain," explained Dr.
The latest additions to the service are '
Magnetic Resonance in Medicine' and the 'Journal of
Magnetic Resonance Imaging', both journals of the International Society for
Magnetic Resonance in Medicine.
Although
magnetic resonance imaging (MRI) has been available for well over a decade, its technology and applications continue to expand.
M2 PRESSWIRE-August 1, 2019-: Global $5.6Bn
Magnetic Resonance Imaging (MRI) Market Analysis by Architecture, Field Strength, Application, and Region - Forecast to 2025
[ClickPress, Fri Mar 15 2019] The research report covers the global nuclear
magnetic resonance (NMR) spectrometer market value for a period ranging during 2012 to 2025.
Looking in turn at the statistical analysis of neural spike train data and the statistical analysis of functional
magnetic resonance imaging data, they consider such topics as a regression spline model for neural spike train data, a hypothesis testing approach for brain activation, polynomial spline independent component analysis with application to functional
magnetic resonance imaging data, group blind source separation, and diagnostic probability modeling for longitudinal structural brain
magnetic resonance imaging data analysis.