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Magnetic resonance imaging (MRI) produces images by first magnetizing a patient in the bore of a powerful magnet and then broadcasting short pulses of radiofrequency (RF) energy at 46.3 MHz that resonate mobile protons (hydrogen nuclei) in the fat, protein and water of the patient’s soft tissues and bone marrow. The protons produce RF echoes when their resonant energy is released; their density and location can be exactly correlated into an image matrix by complex mathematical algorithms.
The spinning proton of the hydrogen nucleus acts like a tiny bar magnet, aligning either with or against the magnetic field, and producing a small net magnetic vector. RF energy from various types of coil, either built into the scanner or attached to specific body parts, generates a second magnetic field perpendicular to the static magnetic field that rotates or ‘flips’ the protons away from the static magnetic field. When the RF pulse is switched off, the protons flip back (relax) to their original position of equilibrium, emitting the RF energy they had acquired into the antenna around the patient. This information is then amplified, digitized and spatially encoded by the array processor.
MRI systems are graded according to the strength of the magnetic field they produce. Routine high-field systems are those capable of producing a magnetic field strength of 3–7 T (Tesla), using a superconducting electromagnet immersed in liquid helium. Open magnets for claustrophobic patients and limb scanners use permanent magnets of 0.2–0.75 T. For comparison, Earth’s magnetic field varies from 30 to 60 μT. MRI does not present any recognized biological hazard. Patients who have any ferromagnetic intracranial aneurysm clips, certain types of cardiac valve replacement or intraocular metallic foreign bodies must never be examined because there is a high risk of death or blindness. Patients with implanted electronic devices such as a cardiac pacemaker or spinal cord stimulator must be screened carefully if MRI is being considered. Many new devices are now MRI-compatible, but the precise product details must be made available to the MRI team to ensure the patient’s safety (e.g. the need to induce a ‘scanner mode’ in the device, or establishing definitive MRI-incompatibility). Many extracranial vascular clips and orthopaedic prostheses are now ‘MRI-friendly’ but may cause local artefacts; newer sequences exist to reduce artefact. Loose metal items, ‘MR-unfriendly’ anaesthetic equipment and credit cards must be excluded from the examination room. Pillows containing metallic coiled springs have been known nearly to suffocate patients, and heavy floor-buffing equipment has been found wedged in the magnet bore because domestic staff had been suboptimally informed.
New methods of analysing normal and pathological brain anatomy are now at the forefront of research. These are MR spectroscopy (MRS); functional MRI (fMRI); diffusion tensor imaging (DTI); high angular resolution diffusion imaging (HARDI) for MR tractography (MRT, see below); and molecular MRI (mMRI), which has taken on a new direction since the description of the human genome.
MRS assesses function within the living brain. It capitalizes on the fact that protons residing in differing chemical environments possess slightly different resonant properties (chemical shift). For a given volume of brain, the distribution of these proton resonances can be displayed as a spectrum. Discernible peaks can be seen for certain neurotransmitters: N -acetylaspartate varies in multiple sclerosis, stroke and schizophrenia while choline and lactate levels have been used to evaluate certain brain tumours.
fMRI depends on the fact that haemoglobin is diamagnetic when oxygenated but paramagnetic when deoxygenated. These different signals can be weighted to the smaller vessels, and hence closer to the active neurones, by using larger magnetic fields. mMRI uses biomarkers that interact chemically with their surroundings and alter the image according to molecular changes occurring within the area of interest, potentially enabling early detection and treatment of disease and basic pharmaceutical development and quantitative testing.
High-field-strength magnets give significant improvement in spatial resolution and contrast. MR images of the microvasculature of the live human brain that allow close comparison with the detail seen in histological slides have been acquired at 8 T. This has significant implications for the treatment of reperfusion injury and research into the physiology of solid tumours and angiogenesis. There is every reason to believe that continued efforts to push the envelope of high-field-strength applications will open new vistas in what appears to be a never-ending array of potential clinical applications.
T1-weighted images best accentuate fat and other soft tissues, whereas fluid is low-signal; these images are nicknamed the ‘anatomy weighting’ amongst radiologists who publish or teach anatomy. T2-weighted images reveal fluid as high signal as well as fat. Fat suppression sequences using T2 ‘fat sat’ (T2FS) or short tau inversion recovery (STIR) are very sensitive in highlighting the soft tissue or bone marrow oedema that almost invariably accompanies pathological states such as inflammation or tumours. Contrast-enhanced images with gadolinium, when used with T1 fat saturation (T1FS) sequences, also exquisitely highlight hypervascularity, particularly that associated with tumours and inflammation, especially in pathologies where the blood–brain barrier is compromised. Metallic artefact reduction sequences (MARS) are superior in imaging periprosthetic soft tissues after joint replacement or other orthopaedic metalwork implantation.
MR tractography (MRT) is a three-dimensional modelling technique used to represent neural tracts visually using data collected by DTI or, more recently, by HARDI, with results presented in two- and three-dimensional images ( ) (see Chapter 32 ).
The MRI sequences used look at the symmetry of water diffusion in the brain. Bundles of fibre tracts make the water diffuse asymmetrically in a ‘tensor’, the major axis parallel to the direction of the fibres. There is a direct relationship between the number of fibres and the degree of anisotropy. DTI assumes that the direction of least restriction corresponds to the direction of white matter tracts. Diffusion MRI was introduced in 1985. In the more recent evolution of the technique into diffusion tensor MRI (DTI), the relative mobility of the water molecules from the origin is modelled as an ellipsoid rather than a sphere. This allows full characterization of molecular diffusion in the three dimensions of space and the formation of tractograms. Barriers cause uneven anisotropic diffusion. In white matter, the principal barrier is the myelin sheath, whereas bundles of axons provide a barrier to perpendicular diffusion and a path for parallel diffusion along the orientation of the fibres. Anisotropic diffusion is expected to be increased overall in areas of high mature axonal order. Conditions where barriers offered by the myelin sheaths or the axons are disrupted, e.g. in trauma, tumours and inflammation, reduce anisotropy and yield DTI data used to seed various tractographic assessments of the brain. Data sets may be rotated continuously into various planes in order to appreciate the structure better; colour may be assigned based on the dominant direction of the fibres. A leading clinical application of MRT is in the presurgical mapping of eloquent regions. Intraoperative electrical stimulation (IES) provides a clinical gold standard for the existence of functional motor pathways that can be used to determine the accuracy and sensitivity of fibre-tracking algorithms.
Intersecting tracts or partial volume averaging of adjacent pathways with different fibre orientations are the reasons why DTI does not accurately describe the microstructure in complex white matter voxels that contain more than one fibre population, e.g. in the centrum semiovale, where major white matter tracts such as the pyramidal tract, the superior longitudinal fasciculus and the corpus callosum intersect. This has hindered preoperative mapping of the pyramidal tract in brain tumour patients. HARDI permits more accurate delineation of pathways within complex regions of white matter. The q-ball reconstruction of HARDI data provides an orientation distribution function (ODF) that can be used to determine the orientations of multiple fibre populations contributing to a voxel’s diffusion MR signal, mapping fibre trajectories through regions of complex tissue architecture in a clinically feasible timeframe.
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