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 underly…
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…
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 of ways one can traverse a …
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 MS, which are not visible…
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 two-component case o…
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…
Quantitative MRI (qMRI) may provide higher sensitivity to early pathological changes than standard qualitative assessment. This advantage, however, is yet to be rigorously compared…
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 infil…