Mariya Doneva1
1Philips Research Hamburg, Hamburg, Germany
Synopsis
Keywords: Image acquisition: Quantification
This lecture will provide an overview of the
latest advances in MRI techniques that enable quantification of tissue
properties. Specific topics that will be
covered include approaches for fast quantitative imaging and techniques that aim
at improving the accuracy of QMRI. Remaining challenges in quantitative MRI
will be briefly discussed as well as potential new research directions.
MRI is incredibly versatile due to its sensitivity to a large number of tissue properties and processes. The range of properties that have been assessed with MRI includes NMR relaxation times T1, T2, T2*, diffusion, perfusion, quantitative fat fraction, iron fraction, elastic properties of tissue, temperature, chemical exchange, to name a few. While this opens the opportunity for comprehensive tissue characterization, this sensitivity also presents a challenge to robust quantitative MRI. Even though attempts to measure quantitative parameter maps (relaxation properties and diffusion) date back to the very early history of MRI, today, still most of the MRI images are qualitative in nature and contrast is used to derive the needed clinical information. However, more and more quantitative MRI techniques are being developed and increasingly adopted clinically.
This lecture will provide an overview of the latest advances in MRI techniques that enable quantification of tissue properties. Specific topics that will be covered include approaches for fast quantitative imaging and techniques that aim at improving the accuracy of QMRI. Remaining challenges in quantitative MRI will be briefly discussed as well as potential new research directionsAcknowledgements
No acknowledgement found.References
Quantitative Magnetic Resonance Imaging, Volume 1 Editors: Nicole Seiberlich, Vikas Gulani, Adrienne Campbell-Washburn, Steven Sourbron, Mariya Ivanova Doneva Fernando Calamante, Houchun Harry Hu Published by Elsevier, 26th November 2020