Mariya Doneva

Keywords: Image acquisition: Quantification

This lecture will provide an overview of the basic quantitative MRI techniques employed in neuroimaging. It aims to familiarize the audience with the theoretical principles and practical considerations of using quantitative imaging techniques. Specifically, we will cover methods to estimate longitudinal relaxation time (T1), transverse relaxation time (T2) as well as methods for studying the microstructure such as myelin water fraction imaging and diffusion and quantitative susceptibility mapping (QSM).

Olivier Beuf, Hélène Ratiney, Kevin Tse Ve Koon

Keywords: Image acquisition: Quantification, Neuro: Brain, Image acquisition: Multiparametric

In addition to the previous talks, this lecture is devoted to an overview of quantitative MRI methods in neuroimaging in the scope of personalized medicine. Advanced techniques such as MR elastography (MRE), chemical exchange saturation transfer (CEST), magnetic resonance spectroscopy (MRS), arterial spin labeling (ASL), dynamic contrast-enhanced (DCE) imaging, and X-nuclei imaging will be addressed. Measuring tissue stiffness, characterizing tissue content and organization, mapping metabolic state or assessing tissue perfusion are among information MRI can provide today. This comprehensive overview will highlight the potential of quantitative MRI in personalized healthcare for neurological disorders.

Congyu Liao

Keywords: Contrast mechanisms: Relaxometry, Image acquisition: Multiparametric

Quantitative MRI plays an increasingly significant role in clinical and research studies. Recent advancements in accelerated imaging techniques have made quantitative MRI both feasible and accessible within clinically practical timeframes. In this presentation, we will explore several cutting-edge time-resolved multiparametric mapping techniques, such as Magnetic Resonance Fingerprinting (MRF), Echo-planar Time-resolved Imaging (EPTI), and Magnetic Resonance Multitasking. These methods can furnish invaluable insights into various tissue properties, including longitudinal and transversal relaxation times (T₁ and T₂), transverse magnetization influenced by field inhomogeneity (T₂*), proton density (PD), myelin-water fraction (MWF), mean diffusivity (MD), and fractional anisotropy (FA).

Cornelia Laule

Keywords: Neuro: Brain, Neuro: White matter, Neuro: Spinal Cord

This lecture will provide an overview of quantitative MRI findings in multiple sclerosis (MS) brain and spinal cord. MS clinical features, tissue changes and the need for advanced MRI biomarkers will be reviewed. Results from magnetization transfer, diffusion MRI, quantitative T₁, quantitative susceptibility mapping, myelin water imaging, magnetic resonance spectroscopy, and non-proton MRI (²³Na, ³¹P) in MS lesions and normal appearing white/grey matter will be summarized. Clinical translation of advanced MRI techniques through normative atlases will be discussed, as well as challenges such as standardization, reproducibility, and integration with other clinical and biological markers for personalized medicine approaches in MS. 

Yuriko Suzuki

Keywords: Neuro: Brain, Contrast mechanisms: Perfusion, Image acquisition: Quantification

This lecture will provide an overview of the clinical application of quantitative MRI in Epilepsy and Stroke in the scope of precision health and personalized medicine. While we will explore how quantitative MRI can improve diagnosis, prognosis counselling, and defining treatment strategy in addition to conventional MRI images, we will also discuss how the utilities of quantitative MRI can be translated into clinical care and benefit individual patients.

C. Chad Quarles

Keywords: Neuro: Brain, Image acquisition: Quantification, Cross-organ: Cancer

At the end of this lecture participants should be able to: 1) describe quantitative neuroimaging methods that are currently used across the spectrum of brain tumor patient care; 2) describe current applications of neuroimaging methods for brain tumor patients, including diagnosis, prognosis, neurosurgical and radiotherapy guidance, and response prediction and assessment, and 3) describe emerging neuroimaging methods and their potential uses in brain tumor patient management.

Michael Zeineh

Keywords: Neuro: Nervous System, Neuro: Brain Connectivity, Neuro: Neurodegeneration

Alzheimer’s is a devastating condition afflicting the majority of aging individuals. The need for imaging is to identify early signs of the disease as well as novel markers that detect different aspects of micropathology under active investigation. This talk will review the major and currently investigated aspects of AD pathology along with accompanying advanced imaging modalities that can potentially aid in investigations of disease mechanism and therapeutics as well as clinical translation.
 

Andrew Alexander

Keywords: Neuro: Brain, Transferable skills: Metrology of MRI, Transferable skills: Statistics

Neuroimaging for precision health and personalized medicine (PHPM) requires highly precise quantitative imaging measures and large representative and normative datasets.  Challenges and unmet needs associated with quantitative MRI for PHPM include sources of measurement variability and errors, measurement standardization, individual brain variation, biological specificity of measures, data processing and analysis complexity, and the cost and accessibility of MRI. Promising new directions include new developments to advanced imaging technologies, open-source MRI sequences, big data, machine learning and point-of-care imaging platforms.  These topics will be summarized from the neuroimaging scientist perspective.