PROJECTS

A. QUANTIFICATION OF MYELIN IN THE CNS

This project focuses on developing techniques for quantifying and characterizing the myelin layer in the central nervous system, and using them to investigate the processes…

B. QUANTITATIVE MAPPING OF T2 RELAXATION TIMES

MRI contrast stems from the natural variations of magnetic properties of different tissues, and their interactions with the externally applied magnetic fields. These properties can…

C. QUANTITATIVE

MULTIPARAMETRIC MRI

Multi-parametric quantitative MRI (qMRI) protocol optimized for brain imaging and consisting of a series of well-established qMRI techniques and their corresponding postprocessing software packages.

D. THE PATHOPHYSIOLOGY OF MULTIPLE SCLEROSIS

In a recent study using a qMRI platform (the EMC algorithm) we demonstrated its potential for detecting subtle changes in tissues’ T2 relaxation values in…

E. ACCELERATION VIA INCOHERENCE

In MRI, we sample the object’s frequency (rather than physical) domain. The number of possible sampling strategies is, in this case, equal to the number…

F. MRI BASED CHARACTERIZATION OF ADIPOSE TISSUES

The different T2 components composing an MRI signal will, in many cases, reflect the underlying classification of tissues. One simplified model is given by the…

G. DESIGNATED PHANTOMS FOR QUANTITATIVE MRI (qMRI)

H. QUANTITATIVE ESTIMATION OF VISUAL SENSITIVITY TO EARLY PATHOLOGICAL CHANGES

Quantitative MRI (qMRI) may provide higher sensitivity to early pathological changes than standard qualitative assessment. This advantage, however, is yet to be rigorously compared…

I. DEEP NETWORKS FOR MR IMAGE SEGMENTATION

Deep networks are commonly being used for segmentation of various applications. One example is thigh and calf muscle images which are being used for estimating fat…

J. ANALYZING EEG SIGNALS

Juvenile Myoclonic Epilepsy (JME) patients do not always respond to anti-epileptic medications and continue having seizures that significantly disrupt their daily routine.

K. MR IMAGE DENOISING

High resolution mapping of MRI T2 relaxation times can benefit many clinical applications by offering improved anatomic details, enhancing the ability to assess tissue architecture…

L. QUANTITATIVE

SUSCEPTIBILITY MAPPING

(QSM) DENOISING

QSM is useful for several clinical applications such as distinguishing between acute and chronic multiple sclerosis (MS) lesions, probing microbleeds in traumatic brain injury patients, identifying iron level changes..

M. MULTIPARAMETRIC RADIOMIC PROFILING

Quantitative MRI (qMRI) can be used to map various MRI properties linked to the tissues’ microstructure and biochemistry and was shown to improve MRI’s accuracy and sensitivity to patholgies. qMRI values are reproducible across scanners and scan settings, providing an objective radiological marker of diseases.

N. qMRI-Based Classification of Multiple Sclerosis Lesions: A Machine Learning Application to Reduce Contrast Agent Usage

Development of a non-invasive, contrast-free approach for classifying multiple sclerosis (MS) lesions as active or inactive. The model integrates quantitative MRI (qMRI) maps with a machine learning algorithm, offering an alternative to routine scans utilizing gadolinium-based contrast agents (GBCAs).