Elsevier

NeuroImage

Volume 62, Issue 2, 15 August 2012, Pages 1241-1248
NeuroImage

Review
The future of ultra-high field MRI and fMRI for study of the human brain

https://doi.org/10.1016/j.neuroimage.2011.10.065Get rights and content

Abstract

MRI and fMRI have been used for about three and two decades respectively and much has changed over this time period, both in the quality of the data and in the range of applications for studying the brain. Apart from resolution improvements from around 4 mm in the early days to below 0.5 mm with modern technology, novel uses of contrast have led to the ability to sensitize images to some of the brain's structural properties at the cellular scale as well as study the localization and organization of brain function at the level of cortical columns. These developments have in part been facilitated by a continuing drive to increase the magnetic field strength. Will the next few decades see similar improvements? Here we will discuss current state of high field MRI, expected further increases in field strength, and improvements expected with these increases.

Highlights

► MRI magnetic field strength has continuously increased. ► This has catalyzed new applications and is improving sensitivity and resolution. ► Further improvements are expected with future increases in magnetic field. ► Visualization of novel functional and structural features is anticipated. ► It may not be practical to increase magnetic field strength beyond 14T.

Introduction

Scientific discoveries and technological advancements often go hand in hand. A prominent example of this relationship is the discovery of X-rays and its subsequent use in crystallography, leading to the discovery of the structure of DNA and the development of modern molecular genetics and the CT-scanner. Similarly, in optics, lens optimization in the early microscopes led to the discovery of red blood cells and bacteria, and the development of optical techniques such as photo-activated localization microscopy (PALM) and fluorescence resonance energy transfer (FRET) has revolutionized cell biology.

Technological advances in a number of fields have also made a significant impact in the field of neuroscience. MRI is an excellent example of this, as it has, since its initial introduction in the clinic in the late seventies and early eighties, rapidly become the main modality not only for clinical neuroimaging, but also for basic research into the structure and function of the human brain.

Like with other brain imaging techniques such as positron emission tomography and CT, MRI has experienced a number of major developments since its early years, and as a result the quality and breadth of applications has increased tremendously. One important technological development that has continued over the entire lifespan of MRI is the increase in magnetic field strength, made possible by improvements in design and technology of the magnet; in parallel, associated radio-frequency (RF) electronics and magnetic field gradients have continuously improved, facilitating the practical use of high field strength MRI systems. These field strength increases have improved the study of both the brain's function and structure, as they provide for increases in sensitivity, contrast, and resolution.

For example, the early work leading up to the invention of fMRI two decades ago was greatly facilitated by the availability of magnets with fields substantially higher than the 1.5 T operating field of conventional clinical systems. Thulborn's early work on the dependence of transverse dipolar (T2) relaxation on blood oxygenation in cannulated blood vessels in rodents benefited from an increased contrast available at the relatively strong field of 4.3 T (Thulborn et al., 1981). Ogawa's early work on T2* (a combination of dipolar and magnetic susceptibility effects) relaxation dependence on blood oxygenation in rat brain was performed at 7 T (Ogawa and Lee, 1990, Ogawa et al., 1990), and his group's early human fMRI work based on BOLD contrast was performed at 4 T (Ogawa et al., 1992). An additional enabling technology in the early development of fMRI was rapid gradient switching that made rapid scanning techniques such as echo planar imaging (EPI) possible (Bandettini et al., 1992, Kwong et al., 1992, Turner et al., 1993). In large part because of the increased magnetic susceptibility contrast at high field that underlies the BOLD effect, many of the major fMRI research sites now own 7 T human scanners. These systems allow fMRI with increased sensitivity, specificity, and resolution compared to their lower field predecessors (Triantafyllou et al., 2005, Yacoub et al., 2008, Uludag et al., 2009).

Structural MRI has also benefitted from the increased resolution and contrast available at high magnetic fields. For example, the better resolution achieved when going from 1.5 T to 3 T has improved the separation of gray and white matter, and enabled quantification of cortical volume, an important parameter for the longitudinal monitoring of disease progression. At fields ranging from 7 T to 9.4 T, magnetic susceptibility-weighted techniques have allowed improved visualization of small anatomical structures based on susceptibility differences between blood, iron, and myelin (Bourekas et al., 1999, Christoforidis et al., 1999, Li et al., 2006, Duyn et al., 2007, Cho et al., 2010, Budde et al., 2011). In the CNS, white matter fibers, vascular structures, and the layer structure of cortical gray matter are being revealed at resolutions of several 100's of microns (Duyn et al., 2007, Kang et al., 2010, Marques et al., 2010). The combination of such data with high resolution functional data available with high field fMRI offers unique opportunities for the study of the relationship between structure and function in the human brain.

Given these important advantages of high field MRI for the non-invasive study of the human brain, it is natural to ask the question, where does the push for high field lead to and where will it end? As is the case in many research fields, cutting-edge technology comes at a price. With MRI, this price is increased system complexity and cost, and possibly reduced versatility. The latter may mean some applications may have limited benefit from high field or not be possible on the highest field systems, due to limited bore size (on a head-only system) or other restrictions. Is this price outweighed by the expected improvements? Will high field MRI find widespread application and be used clinically? In this review, we will look at some of these issues with a focus on applications to the study of human brain.

Section snippets

Where are we now

Over its relatively short (3 decades) existence, MRI has become the imaging technique of choice for the study and clinical evaluation of the brain and spine. Major applications include stroke and trauma, vascular abnormalities, spinal cord compression, primary and metastatic brain tumors, brain infection, and Multiple Sclerosis (MS). MRI has important applications outside the nervous system as well, most notably in organs such as the heart, breast, pelvic organs and in the muskoskeletal system.

What to expect from higher field

Historically, with each step increase in magnetic field strength, we have seen altered sensitivity and contrast, and improved spatial resolution, which have led to new structural and functional information and which have broadened MRI's possible applications. Is this going to continue in the coming decades? In the following, we will discuss what we expect will happen to resolution, sensitivity, and contrast with further increases in field strength.

What are apparent field strength limits

Although Eqs. (2a)–(2b) suggest a continued increase in SNR and CNR with increasing field, there are a number of issues that have slowed the adoption of high field systems for clinical use and are limiting the ultimate fields that may be used in future systems. These range from economical issues to technological and physiological/biological limits.

Modern MRI scanners of 1.5 T and above use superconductive magnets for their excellent stability; however these magnets become increasingly more

Future potential of high field MRI and adoption for clinical use

High field MRI with field strengths up to 9.4 T in humans and close to 20 T in animals has already impacted basic sciences and this impact is expected to grow with the increased availability of high field systems. In rodents, isotropic resolutions of 350 Mµ and 75 Mµ for functional and structural have been achieved, benefiting from the fact that intrinsic sensitivity increases about linearly with reductions in brain volume (V). Combined with the fact that in small mammals, important structural

Summary

The development of high field MRI systems and associated technology has led to novel applications of contrast, which in their turn have motivated further increases in field strength. As a result, MRI has become a powerful technique to look at structural and functional details of the brain at millimeter and sub-millimeter resolution, further broadening its impact on basic neuroscience and clinical research. In the near future, systems of 12 T and possibly even 14 T will become available, offering

Acknowledgments

Alan Koretsky and Peter van Gelderen of the Laboratory of Functional and Molecular imaging at NIH are acknowledged for helpful discussions and suggestions. This research was supported by the Intramural Research Program of the National Institute of Neurological Disorders and Stroke, National Institutes of Health.

References (105)

  • J. Lee et al.

    T2*-based fiber orientation mapping

    NeuroImage

    (2011)
  • D.A. Lewis et al.

    Deciphering the disease process of schizophrenia: the contribution of cortical GABA neurons

    Int. Rev. Neurobiol.

    (2007)
  • T.Q. Li et al.

    Extensive heterogeneity in white matter intensity in high-resolution T2*-weighted MRI of the human brain at 7.0 T

    NeuroImage

    (2006)
  • W. Li et al.

    Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition

    NeuroImage

    (2011)
  • C. Liu et al.

    High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility

    NeuroImage

    (2011)
  • J.P. Marques et al.

    On the origin of the MR image phase contrast: an in vivo MR microscopy study of the rat brain at 14.1 T

    NeuroImage

    (2009)
  • A.M. Peters et al.

    T2* measurements in human brain at 1.5, 3 and 7 T

    Magn. Reson. Imaging

    (2007)
  • N. Petridou et al.

    Investigating the effect of blood susceptibility on phase contrast in the human brain

    NeuroImage

    (2010)
  • J.R. Polimeni et al.

    Laminar analysis of 7 T BOLD using an imposed spatial activation pattern in human V1

    NeuroImage

    (2010)
  • H. Qiao et al.

    In vivo 31P MRS of human brain at high/ultrahigh fields: a quantitative comparison of NMR detection sensitivity and spectral resolution between 4 T and 7 T

    Magn. Reson. Imaging

    (2006)
  • F. Schweser et al.

    Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism?

    NeuroImage

    (2011)
  • K. Shmueli et al.

    Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal

    NeuroImage

    (2007)
  • E. Solano-Castiella et al.

    Parcellation of human amygdala in vivo using ultra high field structural MRI

    NeuroImage

    (2011)
  • C. Triantafyllou et al.

    Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters

    NeuroImage

    (2005)
  • C. Triantafyllou et al.

    Physiological noise and signal-to-noise ratio in fMRI with multi-channel array coils

    NeuroImage

    (2011)
  • K. Uludag et al.

    An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging

    NeuroImage

    (2009)
  • A. Abosch et al.

    An assessment of current brain targets for deep brain stimulation surgery with susceptibility-weighted imaging at 7 Tesla

    Neurosurgery

    (2010)
  • M.S. Albert et al.

    Biological magnetic resonance imaging using laser-polarized 129Xe

    Nature

    (1994)
  • G. Balasubramanian et al.

    Nanoscale imaging magnetometry with diamond spins under ambient conditions

    Nature

    (2008)
  • P.A. Bandettini et al.

    Time course EPI of human brain function during task activation

    Magn. Reson. Med.

    (1992)
  • D. Barazany et al.

    In vivo measurement of axon diameter distribution in the corpus callosum of rat brain

    Brain

    (2009)
  • H.B. Barlow et al.

    Visual sensations aroused by magnetic fields

    Am. J. Physiol.

    (1947)
  • M. Beloueche-Babari et al.

    Metabolic assessment of the action of targeted cancer therapeutics using magnetic resonance spectroscopy

    Br. J. Cancer

    (2010)
  • E.C. Bourekas et al.

    High resolution MRI of the deep gray nuclei at 8 Tesla

    J. Comput. Assist. Tomogr.

    (1999)
  • J. Budde et al.

    Human imaging at 9.4 T using T(2) *-, phase-, and susceptibility-weighted contrast

    Magn. Reson. Med.

    (2011)
  • I.D. Cavin et al.

    Thresholds for perceiving metallic taste at high magnetic field

    J. Magn. Reson. Imaging

    (2007)
  • Z.H. Cho et al.

    Direct visualization of deep brain stimulation targets in Parkinson disease with the use of 7-tesla magnetic resonance imaging

    J. Neurosurg.

    (2010)
  • Z.H. Cho et al.

    Direct visualization of Parkinson's disease by in vivo human brain imaging using 7.0 T magnetic resonance imaging

    Mov. Disord.

    (2011)
  • G.A. Christoforidis et al.

    High resolution MRI of the deep brain vascular anatomy at 8 Tesla: susceptibility-based enhancement of the venous structures

    J. Comput. Assist. Tomogr.

    (1999)
  • J.A. de Zwart et al.

    Design of a SENSE-optimized high-sensitivity MRI receive coil for brain imaging

    Magn. Reson. Med.

    (2002)
  • J.A. de Zwart et al.

    Application of sensitivity-encoded echo-planar imaging for blood oxygen level-dependent functional brain imaging

    Magn. Reson. Med.

    (2002)
  • J.A. de Zwart et al.

    Signal-to-noise ratio and parallel imaging performance of a 16-channel receive-only brain coil array at 3.0 Tesla

    Magn. Reson. Med.

    (2004)
  • J.A. de Zwart et al.

    Reducing correlated noise in fMRI data

    Magn. Reson. Med.

    (2008)
  • A. Deistung et al.

    Susceptibility weighted imaging at ultra high magnetic field strengths: theoretical considerations and experimental results

    Magn. Reson. Med.

    (2008)
  • M.J. Donahue et al.

    Blood oxygenation level-dependent (BOLD) total and extravascular signal changes and DeltaR2* in human visual cortex at 1.5, 3.0 and 7.0 T

    NMR Biomed.

    (2011)
  • T.Q. Duong et al.

    Localized cerebral blood flow response at submillimeter columnar resolution

    Proc. Natl. Acad. Sci. U. S. A.

    (2001)
  • J.H. Duyn et al.

    High-field MRI of brain cortical substructure based on signal phase

    Proc. Natl. Acad. Sci. U. S. A.

    (2007)
  • M.D. Fox et al.

    Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

    Nat. Rev. Neurosci.

    (2007)
  • M. Fukunaga et al.

    Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast

    Proc. Natl. Acad. Sci. U. S. A.

    (2010)
  • M. Fukunaga et al.

    Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast

    Proc. Natl. Acad. Sci. U. S. A.

    (2010)
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