Abstract
In the medical field, imaging (MRI) is based on the measurement of the nuclear magnetism of substances that form biological tissues. This exploration technique comes from a physical phenomenon understood since 1946 (Bloch, Science 118(3068):425–430, 1953; Purcell, Science 118(3068):431–436, 1953), called nuclear magnetic resonance (NMR), which was first used in the fields of chemistry and biochemistry, through spectroscopy. Unlike other medical imaging methods, various physicochemical variables are involved in the formation of the magnetic resonance image, whereas, for example, in XCT, the only physical parameter involved in the formation of the image is the absorption coefficient of the X-ray beam. This feature is both an advantage and a disadvantage. The measurement of several parameters is richer because it makes it possible to obtain additional information but it complicates the interpretation of images. After presenting the physical principles of nuclear magnetic resonance, we will present techniques for measuring parameters that characterize the structure (white matter), the morphology (gray matter), and the cellular metabolism in the brain.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bloch F (1953) The principle of nuclear induction. Science 118(3068):425–430
Purcell EM (1953) Research in nuclear magnetism. Science 118(3068):431–436
Le Bihan D (2014) Diffusion MRI: what water tells us about the brain. EMBO Mol Med 6(5):569–573
Basser PJ, Jones DK (2002) Diffusion-tensor MRI: theory, experimental design and data analysis – a technical review. NMR Biomed 15(7–8):456–467
Yendiki A et al (2011) Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy. Front Neuroinform 5:23
Jbabdi S et al (2007) A Bayesian framework for global tractography. NeuroImage 37(1):116–129
Hutton C et al (2009) A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging. NeuroImage 48(2):371–380
Ashburner J, Friston KJ (2000) Voxel-based morphometry – the methods. NeuroImage 11(6 Pt 1):805–821
Kurth F, Gaser C, Luders E (2015) A 12-step user guide for analyzing voxel-wise gray matter asymmetries in statistical parametric mapping (SPM). Nat Protoc 10(2):293–304
Dale AM, Fischl B, Sereno MI (1999) Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage 9(2):179–194
Fischl B, Dale AM (2000) Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A 97(20):11050–11055
Du AT et al (2007) Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. Brain 130(Pt 4):1159–1166
Proctor W, Yu F (1950) The dependence of a nuclear magnetic resonance frequency upon chemical compound. Phys Rev 77(5):717
Gutowsky H, McCall D, Slichter CP (1953) Nuclear magnetic resonance multiplets in liquids. J Chem Phys 21(2):279–292
Frahm J et al (1989) Localized high-resolution proton NMR spectroscopy using stimulated echoes: initial applications to human brain in vivo. Magn Reson Med 9(1):79–93
Frahm J et al (1989) Localized proton NMR spectroscopy in different regions of the human brain in vivo. Relaxation times and concentrations of cerebral metabolites. Magn Reson Med 11(1):47–63
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
de Marco, G., Peretti, I. (2018). Magnetic Resonance Imaging: Basic Principles and Applications. In: Habas, C. (eds) The Neuroimaging of Brain Diseases. Contemporary Clinical Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-319-78926-2_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-78926-2_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-78924-8
Online ISBN: 978-3-319-78926-2
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)