Abstract
Magnetic Resonance Imaging (MRI) uses the principle of nuclear magnetic resonance to generate high-resolution images of brain. Due to abundance of water in human body, current MR imaging is based on proton imaging. MRI enables non-invasive structural as well as functional evaluation of brain parenchyma. T1WI provide detailed structural evaluation of brain. Advanced sequences such as Diffusion Weighted Imaging (DWI), MR Perfusion, MR Spectroscopy, Diffusion Tensor Imaging and functional MRI enable the evaluation of metabolic, haemodynamic and cytoarchitecture of brain parenchyma in a non-invasive manner. This book chapter aims to provide insight into basic and various advanced MRI sequences along with its potential applications in neuroimaging.
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9.1 Introduction
The fine spatial resolution and non-invasiveness of Magnetic Resonance Imaging (MRI) makes it an integral component of the algorithm for evaluating patients with any neurological disease. Nowadays, MRI is not just limited to provide the anatomical details of tissues. Many advanced MRI sequences are being introduced to provide information about the cytoarchitecture, metabolic, haemodynamic and functional status of tissues to investigate the disease at molecular level.
9.2 Basic Principle
MRI is used to generate high-resolution images of human body. MRI is established on the principle of nuclear magnetic resonance (NMR). The two fundamental principles of NMR are as follows:
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Atoms with odd number of protons or neutrons have a spin.
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A moving electric charge generates a magnetic field.
Human body has many atoms such as 1H, 13C, 19F, 23Na and 31P that can be used for MR imaging.
Currently, MR is primarily based on proton imaging. Hydrogen atom has only single proton, so one H+ ion = one proton. Hydrogen ions are present in abundance in human body as water. So, out of all nuclei H+ ion gives most intense signal on MR imaging (Fig. 9.1).
To localize from where the signal is coming from human body, three additional magnetic fields are superimposed on the principal magnetic field in X, Y and Z axes. These are called gradient fields which vary in strength with varying location. Slice selection gradient is used to select the slice and is sent at the time of Radiation Frequency (RF) pulse. Phase encoding gradient is turned on briefly after slice selection gradient. Frequency encoding/read out gradient is sent at the time of signal reception.
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TR (Time to Repeat)—Time period between two RF pulses.
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TE (Time to Echo)—Time gap between the start of RF pulse and reception of signal.
Varying combinations of TR and TE are used to generate different MR images.
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T1-weighted images—Short TR and short TE.
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T2-weighted images—Long TR and long TE.
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Proton density images—Long TR and short TE.
9.3 Various MR Sequences
9.3.1 T1 Weighted Images (T1WI)
Short Repetition Time (TR) and short Time to Echo (TE) generate T1WI. Fluid appears dark and fat appears bright on T1WI (Fig. 9.2a). T1WI best depict the normal anatomy of brain parenchyma. Grey matter appears intermediate in signal intensity, while white matter appears hyperintense as compared to grey matter. Gadolinium decreases T1 of the tissues and appear bright on T1WI. So, post-contrast images can be used for depiction of vascular changes. In various pathologies such as tumours and inflammation, breakdown of blood–brain barrier can lead to leakage of contrast into the brain parenchyma causing its enhancement and thus localization of pathology on post-contrast T1WI.
9.3.2 T2 Weighted Images (T2WI)
Long TR and long TE generate T2WI. Fluid appears bright and fat appears dark on T2WI. Grey matter appears intermediate signal intensity, while white matter appears hypointense as compared to grey matter (Fig. 9.2). As most pathologies are associated with cerebral oedema, i.e. increased signal on T2WI, they are more easily picked up on T2WI.
9.3.3 Fluid Attenuation Inversion Recovery (FLAIR) Sequence
FLAIR is a special inversion recovery sequence which supresses the cerebrospinal fluid (CSF) (Fig. 9.2). So, it enables us to detect cerebral oedema without glaring high signal from CSF particularly in periventricular regions and in periphery near sulcal spaces. FLAIR sequence is very useful in evaluating various diseases of central nervous system such as infarction, demyelination and subarachnoid haemorrhage in trauma patients [1,2,3]. Post-contrast FLAIR images have been used for evaluating leptomeningeal diseases as early meningitis as it enables us to detect which even subtle meningeal enhancement [4].
9.3.4 Diffusion Weighted Imaging (DWI)
DWI is based on the principle of measuring Brownian, i.e. random motion of water molecules in each voxel of tissue. Since microarchitecture of cerebral tissues affect the Brownian motion of water molecules, it may be used to study the cellular integrity. Any pathology such as inflammation or mass lesion restricts the free motion of water molecules in tissues causing bright signal on DWI.
However, few tissues which are bright on T2WI,appear bright on DWI without any apparent reduced water diffusion. This is specified as T2 shine through. Misinterpretation of T2 shine through for true restricted diffusion can be avoided by using Apparent Diffusion Coefficient (ADC) maps. These ADC images demonstrate actual diffusion values of tissues. Any pathology appears dark on ADC images.
DWI plays a major role in evaluating the following diseases [5,6,7]:
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1.
Diagnosis of early stroke, distinguishing acute from chronic stroke and stroke mimics—the vasogenic oedema in acute stroke restricts the free motion of water molecules in affected brain tissue, thus appearing bright on DWI images and dark on ADC maps (Fig. 9.3).
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Differentiating epidermoid cyst from arachnoid cyst—both the lesions will appear hyperintense on T2WI. Epidermoid cyst shows diffusion restriction on DWI/ADC as compared to arachnoid cyst which does not show diffusion restriction.
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Assessment of active demyelinating lesions as in multiple sclerosis which will show restricted diffusion as compared to the chronic plaques.
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Grading of diffuse gliomas and meningiomas—extent of tumour cellularity is used for quantitative assessment with DWI. Glioma grade is inversely related with ADC values [8]. Higher the tumour grade—more the cellularity, more the diffusion restriction and lower the ADC values.
9.3.5 Susceptibility Weighted Imaging (SWI)
Compounds having paramagnetic, diamagnetic and ferromagnetic properties distort the local magnetic field altering the phase of local tissues and thus resulting in change of signal [9]. SWI aids in detecting structures that have separate susceptibility in comparison to the surrounding structures like deoxygenated blood, ferritin, haemosiderin and calcium [10]. Calcium can be easily picked up on SWI images which may not be visible on routine images.
SWI is also known as high-resolution blood oxygen level-dependent (BOLD) venography. Paramagnetic deoxyhaemoglobin in veins cause shift in resonant frequency between venous channels and the surrounding brain parenchyma thus aiding in detecting various vascular malformations such as deep venous anomaly.
It is exquisitely sensitive in detecting small haemorrhagic contusions in traumatic brain injury. Identification of small haemorrhages along with their location provides valuable information concerning the mechanism of injury and prognosis of the patient [11].
SWI has the ability to detect minute bleeds within the infarct thus precluding the use of revascularization therapies in case of early haemorrhagic transformation of infarct [12] (Fig. 9.4).
9.3.6 MR Perfusion Imaging
MR perfusion imaging enables us to non-invasively measure cerebral perfusion through assessment of multiple haemodynamic parameters such as cerebral blood volume, cerebral blood flow and mean transit time. Exogenous tracer method involving the use of paramagnetic contrast material may be used or magnetically labelled blood may be used as endogenous tracer material [13].
9.3.6.1 Dynamic Susceptibility Contrast (DSC) MR Perfusion
It is the most frequently used technique for MR perfusion study. It uses the regional susceptibility-induced signal loss due to paramagnetic contrast material (such as gadolinium) on T2 or T2* WI. Gadolinium containing contrast medium is injected intravenously and rapid repeat sequences of brain are acquired during the first pass of the contrast. Signal in each voxel represents the intrinsic tissue T2/T2* signal attenuated by susceptibility induced signal loss proportional to the amount of contrast in the vessels [14, 15].
After image acquisition, signal intensity-time curve is generated from area of interest and various parameters such regional cerebral blood volume, cerebral blood flow and mean transit time can be calculated. Also, we can use these values to generate coloured maps of area of interest.
9.3.6.2 Dynamic Contrast Enhanced (DCE) MR Perfusion
DCE MR perfusion calculates cerebral perfusion parameters by assessing T1 shortening effects of gadolinium. Gadolinium-based contrast media is injected intravenously and repeated T1WI are obtained. The most frequently calculated parameter is k-trans, i.e. measure of capillary permeability.
9.3.6.3 Arterial Spin Labelling (ASL)
It does not require use of any exogenous contrast medium. Water molecules in incoming blood are magnetically tagged using a radiofrequency pulse which saturates the water protons. Labelled or tagged images and control images are obtained in which the signal from static tissues is identical but of inflowing blood is different. Subtraction of labelled and control images removes the signal from static tissues and the remaining signal measures perfusion which is proportional to cerebral blood flow (CBF).
Compared to other methods, ASL has very low signal-to-noise ratio but is very useful in paediatric patients or patients with impaired renal function who require serial follow-ups [16].
9.3.6.4 Uses
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In acute stroke, perfusion-diffusion mismatch can help in identifying ischaemic penumbra, i.e. surrounding viable ischaemic tissue which is at risk of infarction [17, 18]. Area with reduced cerebral blood volume and cerebral blood flow and increased mean transit time represents the infarcted core as well as the reversible surrounding ischaemic tissue, whereas the area with diffusion restriction represents irreversibly infarcted core.
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Cerebral blood volume maps help us to assess neovascularity within the tumour that correlates well with tumour grade and malignant histology and to localize tumour area expected to yield positive results on stereotactic biopsy. It can enable us to differentiate radiation necrosis from recurrent tumour.
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While evaluating patients with migraine headaches, during the aura, patients show decreased cerebral blood flow and blood volume as compared to post-aural state.
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Its role is being evaluated in dementia patients. Alzheimer’s disease patients have shown decreased cerebral blood volume in the temporal and parietal lobes. The results are consistent with findings of single-photon emission computerized tomography (SPECT) studies in these patients [19, 20].
9.3.7 Magnetic Resonance Spectroscopy (MRS)
1H-MRS is an advanced non-invasive imaging tool which provides information about biochemical composition of tissue being imaged. The main metabolites of brain parenchyma include N-acetyl aspartate (NAA), Choline (Cho) and Creatine (Cr) which show peaks at different parts per million (ppm) (Fig. 9.5). The metabolic changes precede the anatomical changes during the development of disease as well as during response to treatment. So, MRS is a highly sensitive tool to assess these changes at an early stage (Table 9.1).
9.3.8 Diffusion Tensor Imaging (DTI)
DTI is utilized to map and characterize three-dimensional diffusion of water molecules as a function of spatial localization [37, 38]. Diffusion of water in biological tissues is produced by random thermal fluctuations and is hindered by cellular structures and cell membranes. Thus, it leads to anisotropy, i.e. varying magnitude in different directions.
In cerebral white matter, diffusion of water is relatively less restricted in the direction parallel to fibre orientation, while it is exceedingly impeded in the direction perpendicular to the white matter. Major diffusion eigenvector is presumed to be parallel to the orientation of white matter tracts in homogenous white matter [39]. Tractography algorithms are used to generate estimates of the white matter trajectories in human brain.
Tractography methods are applied primarily to generate reconstructions of the major projection pathways, i.e. corticospinal tract, corona radiata, commissural pathways (corpus callosum and anterior commissure) and also association pathways such as arcuate fasciculus, uncinate fasciculus and inferior longitudinal fasciculus [40,41,42,43,44] (Fig. 9.6). Any pathology causing change in tissue microarchitecture alters the anisotropy, thus making DTI a highly efficient tool for indicating the effects of disease on tissue microarchitecture (Fig. 9.7). DTI has a high sensitivity but low specificity which poses a unique challenge to its applications in neurology.
9.3.8.1 Uses
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1.
Brain tumours—The customary clinical application of DTI is characterization of white matter tracts in persons with brain tumours. DTI maps and tractography help to localize white matter fibre tracts involved in critical functions such as vision, language and motion [44,45,46]. This information enables the neurosurgeon to plan the surgery accordingly minimizing damage to these critical tracts such as corticospinal tracts [47].
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2.
Stroke—Diagnosis and characterization of acute ischaemic lesions can be done in the brain parenchyma. During acute phase of the disease, the mean diffusivity significantly reduces in the lesion [48]. After few days (5–7 days), the mean diffusivity normalizes and significantly increases in chronic phase when encephalomalacia ensues. Fractional anisotropy increases during the acute phase and decrease below the baseline level during chronic phase [49,50,51].
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3.
Demyelination—Parallel organization of white matter fibres forms the ground for diffusion anisotropy and myelin modulates the degree of anisotropy [52]. Any disease process causing dysmyelination or demyelination will cause increased radial diffusivity and decrease in anisotropy. This has been particularly seen in relapsing-remitting multiple sclerosis, periventricular frontal white matter in early Alzheimer’s disease, in periventricular white matter in hydrocephalus, in extratemporal white matter in temporal lobe epilepsy, in genu of corpus callosum in cocaine addicts and in the corpus callosum of patients with autism [53,54,55,56,57,58].
9.3.9 Functional MRI (fMRI)
fMRI as a technique is used to obtain functional imaging by visualizing alterations in blood flow in cerebral cortex in response to stimuli or actions (Fig. 9.8).
In this technique, the patient is instructed to perform a particular task. In response to the task, there is an increase in regional cortical activity which increases the oxygen requirement of the activated cortex leading to drop in oxyhaemoglobin concentration and an increase in deoxyhaemoglobin concentration. Following a delay of 2–6 s, there is an increase in cerebral blood flow (CBF) thus washing away deoxyhaemoglobin. This rebound in tissue oxygenation is measured [59, 60].
fMRI utilizes the difference in paramagnetic properties of oxyhaemoglobin and deoxyhaemoglobin. Deoxygenated haemoglobin is basically paramagnetic causing local dephasing of protons and thus reducing the signal returned from surrounding tissues. Heavy T2* weighted sequences are used for imaging in fMRI.
This imaging technique is used to look for the extent of involvement of eloquent areas (such as those involved in speech or motor function) by the tumour for presurgical planning.
9.4 Conclusion
Today MRI is not just limited to providing the anatomical details. Advanced MRI sequences also enable us to evaluate the metabolic and functional status of tissues at molecular level in a non-invasive manner. Use of advanced MRI techniques forms an essential component of diagnostic algorithm of neurological diseases both for diagnosis and assessment of response to treatment before anatomical changes set in.
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Kaur, N., Sahoo, S.S., Rana, S.S. (2022). Advanced Magnetic Resonance Imaging (MRI) of Brain. In: Mazumder, N., Gangadharan, G., Kistenev, Y.V. (eds) Advances in Brain Imaging Techniques. Springer, Singapore. https://doi.org/10.1007/978-981-19-1352-5_9
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