These included
quantitative magnetic resonance and whole - body MRI.
Body composition changes were defined by
quantitative magnetic resonance.
Not exact matches
«MRI - PDFF, and
magnetic resonance elastography (a non-invasive imaging technique that measures the stiffness of soft tissues) proved to be accurate,
quantitative, and useful over the study duration in measuring the state and progression of disease.
They are using nuclear
magnetic resonance to map biofilm mass and
quantitative metabolite concentrations and diffusive transport within biofilms.
To investigate whole - brain changes potentially associated with these processes, we applied a
magnetic resonance imaging technique novel to psychiatric research,
quantitative mapping of T1 relaxation in the rotating frame (T1ρ).
Keywords: Chromatography, Cloning, Electrophoresis, Filtration, Gas chromatography, Gel electrophoresis, High performance liquid chromatography, Microarray Analysis, Nuclear
magnetic resonance spectroscopy, PAGE, Polymerase chain reaction, Polymerase chain reaction -
quantitative, Purification, Reversed - phase chromatography, Separation, Sequencing, Solvents
We employ advanced microscopy, high field
magnetic resonance imaging, stereologic, and modeling approaches to develop an accurate
quantitative assessment of such pathological changes in a region - and layer - specific manner.
Specific Clinical / Research Interest: Experimental neuropathology, neurodegenerative disorders, brain aging; Functional anatomy of the cerebral cortex, comparative neuroanatomy; Computer - assisted morphometry, stereology, microscopy;
Magnetic resonance microscopy, functional brain imaging Current Students: Tuyen Nguyen (PhD) Postdoctoral Fellows: Camilla Butti, PhD, Timothy Rumbell PhD, Merina Varghese PhD Research Personnel: Bridget Wicinski, Daniel Dickstein Summary of Research Studies: Our research is directed towards the study of selective neuronal vulnerability in dementing illnesses using classical neuropathological as well as modern
quantitative immunohistochemical methods.
This article by Hsu et al from the NIH shows promising diagnostic accuracy for a new fully automatic, pixel-wise,
quantitative stress perfusion by CMR: Diagnostic Performance of Fully Automated Pixel-Wise Quantitative Myocardial Perfusion Imaging by Cardiovascular Magneti
quantitative stress perfusion by CMR: Diagnostic Performance of Fully Automated Pixel-Wise
Quantitative Myocardial Perfusion Imaging by Cardiovascular Magneti
Quantitative Myocardial Perfusion Imaging by Cardiovascular
Magnetic Resonance.
Use of
quantitative data from
magnetic resonance imaging (MRI) will allow us to perform a more appropriate genetic analysis of this important and common disease.