Magnetic resonance imaging of the brain

Last updated
MRI of Brain
MRI of Human Brain.jpg
Cross-sectional T1-weighted MRI of a healthy human brain acquired with an ultra high-field MR of 7 Tesla field strength
ICD-10-PCS B030ZZZ
ICD-9-CM 88.91
OPS-301 code 3-800, 3-820

Magnetic resonance imaging of the brain uses magnetic resonance imaging (MRI) to produce high quality two-dimensional or three-dimensional images of the brain and brainstem as well as the cerebellum without the use of ionizing radiation (X-rays) or radioactive tracers.

Contents

History

The first MR images of a human brain were obtained in 1978 by two groups of researchers at EMI Laboratories led by Ian Robert Young and Hugh Clow. [1] In 1986, Charles L. Dumoulin and Howard R. Hart at General Electric developed MR angiography, [2] and Denis Le Bihan obtained the first images and later patented diffusion MRI. [3] In 1988, Arno Villringer and colleagues demonstrated that susceptibility contrast agents may be employed in perfusion MRI. [4] In 1990, Seiji Ogawa at AT&T Bell labs recognized that oxygen-depleted blood with dHb was attracted to a magnetic field, and discovered the technique that underlies Functional Magnetic Resonance Imaging (fMRI). [5]

A 'Jedi' helmet, on display at the Science Museum:Medicine:The Wellcome Galleries 'Jedi' helmet Wellcome L0059902.jpg
A 'Jedi' helmet, on display at the Science Museum:Medicine:The Wellcome Galleries

In the early 1980s to the early 1990s, 'Jedi' helmets, inspired by the 'Return of the Jedi' Star Wars film, were sometimes worn by children in order to obtain good image quality. The copper coils of the helmet were used as a radio aerial to detect the signals while the 'Jedi' association encouraged children to wear the helmets and not be frightened by the procedure. These helmets were no longer needed as MR scanners improved.

In the early 1990s, Peter Basser and Le Bihan, working at NIH, and Aaron Filler, Franklyn Howe, and colleagues developed diffusion tensor imaging (DTI). [6] [7] [8] [9] Joseph Hajnal, Young and Graeme Bydder described the use of FLAIR pulse sequence to demonstrate high signal regions in normal white matter in 1992. [10] In the same year, John Detre, Alan P. Koretsky and coworkers developed arterial spin labeling. [11] In 1997, Jürgen R. Reichenbach, E. Mark Haacke and coworkers at Washington University in St. Louis developed Susceptibility weighted imaging. [12]

The first study of the human brain at 3.0 T was published in 1994, [13] and in 1998 at 8 T. [14] Studies of the human brain have been performed at 9.4 T (2006) [15] and up to 10.5 T (2019). [16]

Paul Lauterbur and Sir Peter Mansfield were awarded the 2003 Nobel Prize in Physiology or Medicine for their discoveries concerning MRI.

This axial T2-weighted (CSF white) MR scan shows a normal brain at the level of the lateral ventricles. Normal axial T2-weighted MR image of the brain.jpg
This axial T2-weighted (CSF white) MR scan shows a normal brain at the level of the lateral ventricles.

The record for the highest spatial resolution of a whole intact brain (postmortem) is 100 microns, from Massachusetts General Hospital. The data was published in Scientific Data on 30 October 2019. [17] [18]

Applications

One advantage of MRI of the brain over computed tomography of the head is better tissue contrast, [19] and it has fewer artifacts than CT when viewing the brainstem. MRI is also superior for pituitary imaging. [20] It may however be less effective at identifying early cerebritis. [21]

In the case of a concussion, an MRI should be avoided unless there are progressive neurological symptoms, focal neurological findings or concern of skull fracture on exam. [22] In the analysis of a concussion, measurements of Fractional Anisotropy, Mean Diffusivity, Cerebral Blood Flow, and Global Connectivity can be taken to observe the pathophysiological mechanisms being made while in recovery. [23]

In analysis of the fetal brain, MRI provides more information about gyration than ultrasound. [24]

MRI is sensitive for the detection of brain abscess. [25]

A number of different imaging modalities or sequences can be used with imaging the nervous system:

False color MRI by applying red to T1, green to PD and blue to T2.
Click here to scroll through the stack, and for further description of the colors. Brain MRI 0230 15.jpg
False color MRI by applying red to T1, green to PD and blue to T2.

Diagnostic Usage

MRI of the brain and head has multiple diagnostic usages, including identifying aneurysms, strokes, tumors and other brain injury. [30] In many diseases, such as Parkinson's or Alzheimer's, MRI is useful to help differentially diagnose against other diseases. [31] [32] On the topic of diagnosis, MRI data has been used with deep learning networks to identify brain tumors. [33]

See also

Related Research Articles

<span class="mw-page-title-main">Magnetic resonance imaging</span> Medical imaging technique

Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes of the body. MRI scanners use strong magnetic fields, magnetic field gradients, and radio waves to generate images of the organs in the body. MRI does not involve X-rays or the use of ionizing radiation, which distinguishes it from computed tomography (CT) and positron emission tomography (PET) scans. MRI is a medical application of nuclear magnetic resonance (NMR) which can also be used for imaging in other NMR applications, such as NMR spectroscopy.

<span class="mw-page-title-main">Diffusion MRI</span> Method of utilizing water in magnetic resonance imaging

Diffusion-weighted magnetic resonance imaging is the use of specific MRI sequences as well as software that generates images from the resulting data that uses the diffusion of water molecules to generate contrast in MR images. It allows the mapping of the diffusion process of molecules, mainly water, in biological tissues, in vivo and non-invasively. Molecular diffusion in tissues is not random, but reflects interactions with many obstacles, such as macromolecules, fibers, and membranes. Water molecule diffusion patterns can therefore reveal microscopic details about tissue architecture, either normal or in a diseased state. A special kind of DWI, diffusion tensor imaging (DTI), has been used extensively to map white matter tractography in the brain.

During nuclear magnetic resonance observations, spin–lattice relaxation is the mechanism by which the longitudinal component of the total nuclear magnetic moment vector (parallel to the constant magnetic field) exponentially relaxes from a higher energy, non-equilibrium state to thermodynamic equilibrium with its surroundings (the "lattice"). It is characterized by the spin–lattice relaxation time, a time constant known as T1.

Kenneth Kin Man Kwong is a Hong Kong-born American nuclear physicist. He is a pioneer in human brain imaging. He received his bachelor's degree in Political Science in 1972 from the University of California, Berkeley. He went on to receive his Ph.D. in physics from the University of California, Riverside studying photon-photon collision interactions.

MRI contrast agents are contrast agents used to improve the visibility of internal body structures in magnetic resonance imaging (MRI). The most commonly used compounds for contrast enhancement are gadolinium-based contrast agents (GBCAs). Such MRI contrast agents shorten the relaxation times of nuclei within body tissues following oral or intravenous administration.

<span class="mw-page-title-main">Cardiac magnetic resonance imaging</span>

Cardiac magnetic resonance imaging, also known as cardiovascular MRI, is a magnetic resonance imaging (MRI) technology used for non-invasive assessment of the function and structure of the cardiovascular system. Conditions in which it is performed include congenital heart disease, cardiomyopathies and valvular heart disease, diseases of the aorta such as dissection, aneurysm and coarctation, coronary heart disease. It can also be used to look at pulmonary veins. Patient information may be found here.

<span class="mw-page-title-main">Susceptibility weighted imaging</span>

Susceptibility weighted imaging (SWI), originally called BOLD venographic imaging, is an MRI sequence that is exquisitely sensitive to venous blood, hemorrhage and iron storage. SWI uses a fully flow compensated, long echo, gradient recalled echo (GRE) pulse sequence to acquire images. This method exploits the susceptibility differences between tissues and uses the phase image to detect these differences. The magnitude and phase data are combined to produce an enhanced contrast magnitude image. The imaging of venous blood with SWI is a blood-oxygen-level dependent (BOLD) technique which is why it was referred to as BOLD venography. Due to its sensitivity to venous blood SWI is commonly used in traumatic brain injuries (TBI) and for high resolution brain venographies but has many other clinical applications. SWI is offered as a clinical package by Philips and Siemens but can be run on any manufacturer's machine at field strengths of 1.0 T, 1.5 T, 3.0 T and higher.

<span class="mw-page-title-main">Magnetic resonance neurography</span>

Magnetic resonance neurography (MRN) is the direct imaging of nerves in the body by optimizing selectivity for unique MRI water properties of nerves. It is a modification of magnetic resonance imaging. This technique yields a detailed image of a nerve from the resonance signal that arises from in the nerve itself rather than from surrounding tissues or from fat in the nerve lining. Because of the intraneural source of the image signal, the image provides a medically useful set of information about the internal state of the nerve such as the presence of irritation, nerve swelling (edema), compression, pinch or injury. Standard magnetic resonance images can show the outline of some nerves in portions of their courses but do not show the intrinsic signal from nerve water. Magnetic resonance neurography is used to evaluate major nerve compressions such as those affecting the sciatic nerve (e.g. piriformis syndrome), the brachial plexus nerves (e.g. thoracic outlet syndrome), the pudendal nerve, or virtually any named nerve in the body. A related technique for imaging neural tracts in the brain and spinal cord is called magnetic resonance tractography or diffusion tensor imaging.

<span class="mw-page-title-main">Physics of magnetic resonance imaging</span> Overview article

The physics of magnetic resonance imaging (MRI) concerns fundamental physical considerations of MRI techniques and technological aspects of MRI devices. MRI is a medical imaging technique mostly used in radiology and nuclear medicine in order to investigate the anatomy and physiology of the body, and to detect pathologies including tumors, inflammation, neurological conditions such as stroke, disorders of muscles and joints, and abnormalities in the heart and blood vessels among others. Contrast agents may be injected intravenously or into a joint to enhance the image and facilitate diagnosis. Unlike CT and X-ray, MRI uses no ionizing radiation and is, therefore, a safe procedure suitable for diagnosis in children and repeated runs. Patients with specific non-ferromagnetic metal implants, cochlear implants, and cardiac pacemakers nowadays may also have an MRI in spite of effects of the strong magnetic fields. This does not apply on older devices, and details for medical professionals are provided by the device's manufacturer.

<span class="mw-page-title-main">Intravoxel incoherent motion</span> Concept and a method initially introduced and developed by Le Bihan et al

Intravoxel incoherent motion (IVIM) imaging is a concept and a method initially introduced and developed by Le Bihan et al. to quantitatively assess all the microscopic translational motions that could contribute to the signal acquired with diffusion MRI. In this model, biological tissue contains two distinct environments: molecular diffusion of water in the tissue, and microcirculation of blood in the capillary network (perfusion). The concept introduced by D. Le Bihan is that water flowing in capillaries mimics a random walk (Fig.1), as long as the assumption that all directions are represented in the capillaries is satisfied.

<span class="mw-page-title-main">Perfusion MRI</span>

Perfusion MRI or perfusion-weighted imaging (PWI) is perfusion scanning by the use of a particular MRI sequence. The acquired data are then post-processed to obtain perfusion maps with different parameters, such as BV, BF, MTT and TTP.

<span class="mw-page-title-main">Pathology of multiple sclerosis</span> Pathologic overview

Multiple sclerosis (MS) can be pathologically defined as the presence of distributed glial scars (scleroses) in the central nervous system that must show dissemination in time (DIT) and in space (DIS) to be considered MS lesions.

Synthetic MRI is a simulation method in Magnetic Resonance Imaging (MRI), for generating contrast weighted images based on measurement of tissue properties. The synthetic (simulated) images are generated after an MR study, from parametric maps of tissue properties. It is thereby possible to generate several contrast weightings from the same acquisition. This is different from conventional MRI, where the signal acquired from the tissue is used to generate an image directly, often generating only one contrast weighting per acquisition. The synthetic images are similar in appearance to those normally acquired with an MRI scanner.

The history of magnetic resonance imaging (MRI) includes the work of many researchers who contributed to the discovery of nuclear magnetic resonance (NMR) and described the underlying physics of magnetic resonance imaging, starting early in the twentieth century. MR imaging was invented by Paul C. Lauterbur who developed a mechanism to encode spatial information into an NMR signal using magnetic field gradients in September 1971; he published the theory behind it in March 1973.

<span class="mw-page-title-main">MRI sequence</span>

An MRI sequence in magnetic resonance imaging (MRI) is a particular setting of pulse sequences and pulsed field gradients, resulting in a particular image appearance.

Gradient echo is a magnetic resonance imaging (MRI) sequence that has wide variety of applications, from magnetic resonance angiography to perfusion MRI and diffusion MRI. Rapid imaging acquisition allows it to be applied to 2D and 3D MRI imaging. Gradient echo uses magnetic gradients to generate a signal, instead of using 180 degrees radiofrequency pulse like spin echo; thus leading to faster image acquisition time.

Denis Le Bihan is a medical doctor, physicist, member of the Institut de France, member of the French Academy of Technologies and director since 2007 of NeuroSpin, an institution of the Atomic Energy and Alternative Energy Commission (CEA) in Saclay, dedicated to the study of the brain by magnetic resonance imaging (MRI) with a very high magnetic field. Denis Le Bihan has received international recognition for his outstanding work, introducing new imaging methods, particularly for the study of the human brain, as evidenced by the many international awards he has received, such as the Gold Medal of the International Society of Magnetic Resonance in Medicine (2001), the coveted Lounsbery Prize, the Louis D. Prize from the Institut de France, the prestigious Honda Prize (2012), the Louis-Jeantet Prize (2014), the Rhein Foundation Award (2021). His work has focused on the introduction, development and application of highly innovative methods, notably diffusion MRI.

Inversion recovery is an MRI sequence that provides high contrast between tissue and lesion. It can be used to provide high T1 weighted image, high T2 weighted image, and to suppress the signals from fat, blood, or cerebrospinal fluid (CSF).

Hyperpolarized gas MRI, also known as hyperpolarized helium-3 MRI or HPHe-3 MRI, is a medical imaging technique that uses hyperpolarized gases to improve the sensitivity and spatial resolution of magnetic resonance imaging (MRI). This technique has many potential applications in medicine, including the imaging of the lungs and other areas of the body with low tissue density.

Magnetic resonance fingerprinting (MRF) is methodology in quantitative magnetic resonance imaging (MRI) characterized by a pseudo-randomized acquisition strategy. It involves creating unique signal patterns or 'fingerprints' for different materials or tissues after which a pattern recognition algorithm matches these fingerprints with a predefined dictionary of expected signal patterns. This process translates the data into quantitative maps, revealing information about the magnetic properties being investigated.

References

  1. "Britain's brains produce first NMR scans". New Scientist: 588. 1978.
  2. "Blood-flow checker". Popular Science: 12. 1987.
  3. Le Bihan D, Breton E (1987). "Method to Measure the Molecular Diffusion and/or Perfusion Parameters of Live Tissue". US Patent # 4,809,701.
  4. Villringer A, Rosen BR, Belliveau JW, Ackerman JL, Lauffer RB, Buxton RB, Chao YS, Wedeen VJ, Brady TJ (February 1988). "Dynamic imaging with lanthanide chelates in normal brain: contrast due to magnetic susceptibility effects". Magnetic Resonance in Medicine. 6 (2): 164–74. doi:10.1002/mrm.1910060205. PMID   3367774. S2CID   41228095.
  5. Faro SH, Mohamed FB (2010-01-15). Bold fMRI. a guide to functional imaging for neuroscientists. Springer. ISBN   978-1-4419-1328-9 . Retrieved 10 June 2015.
  6. Howe FA, Filler AG, Bell BA, Griffiths JR (December 1992). "Magnetic resonance neurography". Magnetic Resonance in Medicine. 28 (2): 328–38. doi:10.1002/mrm.1910280215. PMID   1461131. S2CID   36417513.
  7. Filler AG, Howe FA, Hayes CE, Kliot M, Winn HR, Bell BA, Griffiths JR, Tsuruda JS (March 1993). "Magnetic resonance neurography". Lancet. 341 (8846): 659–61. doi:10.1016/0140-6736(93)90422-d. PMID   8095572. S2CID   24795253.
  8. Filler A (October 2009). "Magnetic resonance neurography and diffusion tensor imaging: origins, history, and clinical impact of the first 50,000 cases with an assessment of efficacy and utility in a prospective 5000-patient study group". Neurosurgery. 65 (4 Suppl): A29-43. doi:10.1227/01.neu.0000351279.78110.00. PMC   2924821 . PMID   19927075.
  9. Basser PJ (2010). "Invention and Development of Diffusion Tensor MRI (DT-MRI or DTI) at the NIH". Diffusion MRI. Oxford University Press. pp. 730–740. doi:10.1093/med/9780195369779.003.0047. ISBN   9780195369779.
  10. Hajnal JV, De Coene B, Lewis PD, Baudouin CJ, Cowan FM, Pennock JM, Young IR, Bydder GM (July 1992). "High signal regions in normal white matter shown by heavily T2-weighted CSF nulled IR sequences". Journal of Computer Assisted Tomography. 16 (4): 506–13. doi:10.1097/00004728-199207000-00002. PMID   1629405. S2CID   42727826.
  11. Koretsky AP (August 2012). "Early development of arterial spin labeling to measure regional brain blood flow by MRI". NeuroImage. 62 (2): 602–7. doi:10.1016/j.neuroimage.2012.01.005. PMC   4199083 . PMID   22245338.
  12. Reichenbach JR, Venkatesan R, Schillinger DJ, Kido DK, Haacke EM (July 1997). "Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent". Radiology. 204 (1): 272–7. doi:10.1148/radiology.204.1.9205259. PMID   9205259.
  13. Mansfield P, Coxon R, Glover P (May 1994). "Echo-planar imaging of the brain at 3.0 T: first normal volunteer results". Journal of Computer Assisted Tomography. 18 (3): 339–43. doi:10.1097/00004728-199405000-00001. PMID   8188896. S2CID   20221062.
  14. Robitaille PM, Abduljalil AM, Kangarlu A, Zhang X, Yu Y, Burgess R, Bair S, Noa P, Yang L, Zhu H, Palmer B, Jiang Z, Chakeres DM, Spigos D (October 1998). "Human magnetic resonance imaging at 8 T". NMR in Biomedicine. 11 (6): 263–5. doi:10.1002/(SICI)1099-1492(199810)11:6<263::AID-NBM549>3.0.CO;2-0. PMID   9802467. S2CID   41305659.
  15. Vaughan T; DelaBarre L; Snyder C; Tian J; Akgun C; Shrivastava D; Liu W; Olson C; Adriany G; et al. (December 2006). "9.4T human MRI: preliminary results". Magn Reson Med. 56 (6): 1274–82. doi:10.1002/mrm.21073. PMC   4406343 . PMID   17075852.
  16. Sadeghi‐Tarakameh, Alireza; DelaBarre, Lance; Lagore, Russell L.; Torrado‐Carvajal, Angel; Wu, Xiaoping; Grant, Andrea; Adriany, Gregor; Metzger, Gregory J.; Van de Moortele, Pierre‐Francois; Ugurbil, Kamil; Atalar, Ergin (2019-11-21). "In vivo human head MRI at 10.5T: A radiofrequency safety study and preliminary imaging results". Magnetic Resonance in Medicine. 84 (1): 484–496. doi:10.1002/mrm.28093. hdl: 11693/53263 . ISSN   0740-3194. PMC   7695227 . PMID   31751499. S2CID   208226414.
  17. "100-Hour-Long MRI of Human Brain Produces Most Detailed 3D Images Yet". 10 July 2019.
  18. "Team publishes on highest resolution brain MRI scan".
  19. Ebel K, Benz-Bohm G (1999). Differential diagnosis in pediatric radiology. Thieme. pp. 538–. ISBN   978-3-13-108131-5 . Retrieved 18 July 2011.
  20. Bradley WG, Brant-Zawadzki M, Cambray-Forker J (2001-01-15). MRI of the brain. Surendra Kumar. ISBN   978-0-7817-2568-2 . Retrieved 24 July 2011.
  21. Roos KL, Tunkel AR (2010). Bacterial infections of the central nervous system. Elsevier Health Sciences. pp. 69–. ISBN   978-0-444-52015-9 . Retrieved 18 July 2011.
  22. American Medical Society for Sports Medicine (24 April 2014), "Five Things Physicians and Patients Should Question", Choosing Wisely: an initiative of the ABIM Foundation , American Medical Society for Sports Medicine, retrieved 29 July 2014
  23. Churchill Nathan W., Hutchison Michael G., Richards Doug, Leung General, Graham Simon J., Schweizer Tom A. (2017). "The first week after concussion: Blood flow, brain function and white matter microstructure". NeuroImage: Clinical. 14: 480–489. doi:10.1016/j.nicl.2017.02.015. PMC   5334547 . PMID   28280686.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  24. Garel C (2004). MRI of the fetal brain: normal development and cerebral pathologies. Springer. ISBN   978-3-540-40747-8 . Retrieved 24 July 2011.
  25. Rath, Tanya J.; Hughes, Marion; Arabi, Mohammad; Shah, Gaurang V. (2012). "Imaging of Cerebritis, Encephalitis, and Brain Abscess". Neuroimaging Clinics of North America. Elsevier BV. 22 (4): 585–607. doi:10.1016/j.nic.2012.04.002. ISSN   1052-5149. PMID   23122258.
  26. Butler P, Mitchell AW, Ellis H (2007-11-19). Applied Radiological Anatomy for Medical Students. Cambridge University Press. pp. 12–. ISBN   978-0-521-81939-8 . Retrieved 18 July 2011.
  27. Tofts, Paul (2005-09-01). Quantitative MRI of the Brain: Measuring Changes Caused by Disease. John Wiley and Sons. pp. 86–. ISBN   978-0-470-86949-9 . Retrieved 18 July 2011.
  28. Chowdhury R, Wilson I, Rofe C, Lloyd-Jones G (2010-04-19). Radiology at a Glance. John Wiley and Sons. pp. 95–. ISBN   978-1-4051-9220-0 . Retrieved 18 July 2011.
  29. Granacher RP (2007-12-20). Traumatic brain injury: methods for clinical and forensic neuropsychiatric assessment. CRC Press. pp. 247–. ISBN   978-0-8493-8138-6 . Retrieved 18 July 2011.
  30. "MRI - Mayo Clinic". www.mayoclinic.org. Retrieved 2023-12-22.
  31. Heim, Beatrice; Krismer, Florian; De Marzi, Roberto; Seppi, Klaus (2017-08-01). "Magnetic resonance imaging for the diagnosis of Parkinson's disease". Journal of Neural Transmission. 124 (8): 915–964. doi:10.1007/s00702-017-1717-8. ISSN   1435-1463. PMC   5514207 . PMID   28378231.
  32. Frisoni, Giovanni B.; Fox, Nick C.; Jack, Clifford R.; Scheltens, Philip; Thompson, Paul M. (February 2010). "The clinical use of structural MRI in Alzheimer disease". Nature Reviews Neurology. 6 (2): 67–77. doi:10.1038/nrneurol.2009.215. ISSN   1759-4766. PMC   2938772 .
  33. Segato, Alice; Marzullo, Aldo; Calimeri, Francesco; De Momi, Elena (2020-12-01). "Artificial intelligence for brain diseases: A systematic review". APL Bioengineering. AIP Publishing. 4 (4): 041503. doi:10.1063/5.0011697. ISSN   2473-2877. PMC   7556883 . PMID   33094213.