Enabling Clinical Technologies for Hyperpolarized 129 Xenon Magnetic Resonance Imaging and Spectroscopy.
Alixander S KhanRebecca L HarveyJonathan Richard BirchallRobert K IrwinPanayiotis NikolaouGeoffry SchrankKiarash EmamiAndrew DummerMichael J BarlowBoyd M GoodsonEduard Y ChekmenevPublished in: Angewandte Chemie (International ed. in English) (2021)
Hyperpolarization is a technique that can increase nuclear spin polarization with the corresponding gains in nuclear magnetic resonance (NMR) signals by 4-8 orders of magnitude. When this process is applied to biologically relevant samples, the hyperpolarized molecules can be used as exogenous magnetic resonance imaging (MRI) contrast agents. A technique called spin-exchange optical pumping (SEOP) can be applied to hyperpolarize noble gases such as 129 Xe. Techniques based on hyperpolarized 129 Xe are poised to revolutionize clinical lung imaging, offering a non-ionizing, high-contrast alternative to computed tomography (CT) imaging and conventional proton MRI. Moreover, CT and conventional proton MRI report on lung tissue structure but provide little functional information. On the other hand, when a subject breathes hyperpolarized 129 Xe gas, functional lung images reporting on lung ventilation, perfusion and diffusion with 3D readout can be obtained in seconds. In this Review, the physics of SEOP is discussed and the different production modalities are explained in the context of their clinical application. We also briefly compare SEOP to other hyperpolarization methods and conclude this paper with the outlook for biomedical applications of hyperpolarized 129 Xe to lung imaging and beyond.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- high resolution
- diffusion weighted imaging
- dual energy
- positron emission tomography
- single molecule
- room temperature
- intensive care unit
- mass spectrometry
- low dose
- emergency department
- image quality
- optical coherence tomography
- health information
- convolutional neural network
- solid state
- deep learning
- radiation induced