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Published on: December 18, 2016
Primary Multiparametric Quantitative Brain MRI: State-of-the-Art Relaxometric and Proton Density Mapping Techniques
Hernán Jara1, Osamu Sakai1, Ezequiel Farrher1
1From the Department of Radiology, Boston University, 670 Albany St, Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P., N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colo (K.E.K.).
Abstract:
This review on brain multiparametric quantitative MRI (MP-qMRI) focuses on the primary subset of quantitative MRI (qMRI) parameters that represent the mobile ("free") and bound ("motion-restricted") proton pools. Such primary parameters are the proton densities, relaxation times, and magnetization transfer parameters. Diffusion qMRI is also included because of its wide implementation in complete clinical MP-qMRI application. MP-qMRI advances were reviewed over the past 2 decades, with substantial progress observed toward accelerating image acquisition and increasing mapping accuracy. Areas that need further investigation and refinement are identified as follows: (a) the biologic underpinnings of qMRI parameter values and their changes with age and/or disease and (b) the theoretical limitations implicitly built into most qMRI mapping algorithms that do not distinguish between the different spatial scales of voxels versus spin packets, the central physical object of the Bloch theory. With rapidly improving image processing techniques and continuous advances in computer hardware, MP-qMRI has the potential for implementation in a wide range of clinical applications. Currently, three emerging MP-qMRI applications are synthetic MRI, macrostructural qMRI, and microstructural tissue modeling.
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