Research in the lab resides on the interface between the development of novel methodologies for non-invasive quantitative MRI (qMRI), and their use for investigating tissues’ structure and function for clinical and biological applications. One of our main research objectives is to characterize the myeloarchitecture of the central nervous system in order to gain deeper insights into the pathophysiology of neurodegenerative demyelinating diseases, and multiple sclerosis. To achieve this and more, we develop new MR-based techniques and employ them across various aspects of this imaging modality:
- Design of new quantitative MRI (qMRI) and microstructural MRI (µMRI) protocols.
- Deep learning networks and Machine learning algorithm for clinical data processing.
- Improving patient care and comfort.
- Denoising of MRI images.
- Accelerated and multiparametric acquisition schemes.
- Customized signal processing and image reconstruction algorithms.
- Presurgical analysis of EEG signals in people with epilepsy.
- Multiparametric radiomic profiling of MRI images.
Applications include a wide variety of conditions including Multiple Sclerosis, personalized treatment plans for Cancer patients, Schizophrenia, Insomnia, Mindfulness meditation, Psychedelics in medicine, Muscular Dystrophy, Neuromuscular diseases, and more.
More info can be found in https://www.noambelab.sites.tau.ac.il/
We are actively recruiting talented and motivated PhD and MSc students for new ground-breaking studies in the lab.
