Literature DB >> 31844426

Loss Path Influence on the MRI Radio Frequency Pulse Sequence: A Theoretical Evidence.

Moses Emetere1,2, A Falade1.   

Abstract

The RF pulse is initiated from either the loop or loopless MRI antenna. It has shown an increased advancement in recent times. Somehow, the concept has proven successful in the MR imaging procedure. Using the fundamental theories of the MRI concept, mathematical experimentation was carried out analytically to investigate the Loss Path Concept (LPC). The LPC was proposed to be one of the defects responsible for poor/blurred medical imaging of certain parts of the body. The LPC results obtain in this mathematical experimentation was found to be -56 dB and 6.7 dB. Theoretically, the LPC can be resolved mathematically by incorporating the molecular boundaries of the tissues. Practically, LPC can be resolved by introducing a detachable RF strip detector to synchronise-particles across different molecular boundaries and prevent patients from excess exposure to RF radiation. Copyright:
© 2019 Moses Emetere, A Falade.

Entities:  

Keywords:  Bloch NMR; Electromagnetic signatures; Loss Path Concept; MRI; MRI antenna; Molecular interactions

Year:  2019        PMID: 31844426      PMCID: PMC6901837          DOI: 10.3889/oamjms.2019.728

Source DB:  PubMed          Journal:  Open Access Maced J Med Sci        ISSN: 1857-9655


Introduction

Safe medical imaging is gradually advancing beyond mere visual interpretations of the interior parts of the human body into an improved technologically initiated process. This process includes improving the mathematical codes of the imaging device [1]. Mathematical codes are basic mathematical principles or algorithm used to initiate, construct or improve devices. These codes are rooted in sound physics principles to describe the functionality of devices. The operational techniques of the MRI machine are traceable to salient mathematical codes, e.g. the Bloch NMR. The mathematical codes of the MRI had been queried or faulted severally [2], [3]. Solutions had been inferred to the ab-initio mathematical codes of the MRI machines via recent inclusion of polynomial function [4], [5] to resolve imaging issues. Therefore, mathematical codes can be used to probe into the complexity behind the functionality of the MRI machine. For example, aside from the known abnormalities in the MRI machine, i.e. signal-to-noise, excess heat on patients, increased radiation loss e.t.c., there are subtler issues about MRI that should be critically analysed. One of such salient challenge is the amount of signal attenuation recorded during radio propagation and reception. In this research, the signal attenuation anomaly is referred to as the loss path concept (LPC). LPC defines the performance (i.e. system frequency and link budget) of the radio propagation from the MRI antenna [6]. The MRI antenna transports energy into protons through resonance in the form of RF pulse. When the RF pulse is truncated, the excited protons return-back to its ab-initio state and emit RF signals. These signals are processed by the RF coil to generate tissue image on any output device, e.g. a computer. The image generation at the RF coil depends on the relaxation time of hydrogen protons in different tissues (as shown in Figure 1).
Figure 1

MRI RF coils (adapted from http://198.173.87.9/mri/mri_litzcagepg.htm)

MRI RF coils (adapted from http://198.173.87.9/mri/mri_litzcagepg.htm) Different medical resonance imaging processes [7], [8], [9] depend on the functionality of the MR antenna and the RF coils. These devices help to improve the acquisition and reconstruction of signal attenuation (as shown in Figure 2, A and B). Therefore, an antenna of large-quality factor and gain is required to provide a highly uniform electromagnetic field for high-resolution imaging.
Figure 2

A) RF pulse from the MRI chamber; B) Loss Path in the RF Pulse Sequence

A) RF pulse from the MRI chamber; B) Loss Path in the RF Pulse Sequence The constructive and destructive interference of electromagnetic fields generated by each part of the coil leads to low imaging [10]. This challenge has been reduced by introducing TEM resonators to control the distribution of the magnetic field [10]. It also assists meta/nano materials to focus on the RF magnetic field [11]. While solving the uniform distribution of the electromagnetic field, there exists the basic challenge of signal attenuation which leads to Loss Path Concept (LPC). LPC is as a result of continuous negligence of the Bio Savart law via the inadequate sustainability of the quality factor. Like ‘shadow fading’ in wireless capsule endoscopy [12], the Loss Path Concept (LPC) in the MRI is prominent when scanning deep tissues or cancerous growth of the human body. The RF attenuation when scanning deep tissues is a subtle concept. This concept was explained in subsequent sections of this paper. The relaxations of the excited protons of deep tissues are haphazardly different from general body imaging. This may be largely due to molecular interactions or boundaries of the deep tissues. Traditionally, the meta-material which act as the lens is used to focus on excess RF magnetic field to the patient to obtain clearer imaging. Hence, the generalisation of the MRI procedure for body tissues should include the safety of the patient using the MRI machine. The operational tendency for MRI technicians to subject patients to excessive RF radiation may be hazardous in the long-run [32]. This may lead to the weakening of body tissues and ultimately lead to organ malfunction e.t.c. Though none of these symptoms has been reported clinically, however, the essence of this research is to seek proactive measure – using a mathematical approach to probe the MRI technique. The LPC concept has been applied in some medical technologies, such as medical implant communication [19] and wireless capsule endoscopy [22]. In this paper, we developed a Hamiltonian to incorporate the shortcoming of the Bloch NMR model. The effects of electromagnetic signatures from the MRI antenna on the radio frequency (RF) are expected to excite both the selection technique and conservation of excess loss of energy during signalling. This concept was considered in the calculation. Also, the equations for the LPC were derived, and the simulated LPC effect during specific RF selection was reported.

Material and Methods

The flow properties or fluid dynamics of the modified time-independent Bloch NMR flow equation under the influence of the RF magnetic field is given as [4], [5]. V Is the flow velocity. γ Is the gyromagnetic ratio, M are the transverse magnetisation, M is the longitudinal magnetisation, M is the equilibrium magnetisation, x is the distance along the x-axis when time is not zero, B external magnetic field, T is the longitudinal and T transverse relaxation times. The RF magnetic field is derived from antenna coils whose frequency is consistently higher than an amateur radio. The electromagnetic field from the antenna coils is governed by the Maxwell equations written below. Equation (2) represents the Coulomb’s law where E is the electric field, ρ is the charge density, ε is the permittivity of free space. Permittivity describes the ability of materials to transmit an electric field. Equation (3) represents the Faraday’s law where B is the magnetic induction. The negative sign can be justified using the Lenz law. Equation (4) is the Ampere’s law where μ is the permeability of free space. Permeability is the ability of a material to support the formation of a magnetic field within itself in response to an applied magnetic field. J is the current density. Equation (5) represents the Gauss’s law. The phenomena of both fields are the idea behind this paper.

Enhanced Flow Parameters of the Bloch NMR Model

We propose a generic Hamiltonian to incorporate the Bloch NMR and Molecular boundary dynamics as shown below H is represented by the flow magnetisation equation derived by Awojoyogbe et al., [13]. The first step of this paper is to simplify the motion of the magnetisation vector in an externally polarised alternating magnetic field [26], [27], [28]. Secondly, the useful results are transferred to the rotating frame which mandates equation [1] not to be equal to zero. It is written as: The molecular boundary dynamics can also be expressed as: All parameters maintain its original interpretations, i.e. E is the energy absorbed in the tissue. Along with the i site, the elastic model for macromolecular interactions is predominant because of body fluid, therefore, Along with j the site, the energy E coincide with the energy levels worked out by Emetere [14] for NMR studies. V(x) Is the potential across compartmental boundaries, x is the distance along in the x site in the x-axis, i is the distance along with the j site in the x-axis, N is the highest number of proton around scanned body mass, k is the elasticity of the blood vessel. The elasticity of the arteries or blood vessel determines the blood flow rate in the body [15]. If the arteries are narrow, less blood can flow. In clinical practice, this feature is described by elasticity index. Therefore the energy absorbed in the tissue is important for analysing both the microscopic and macroscopic imaging processes. Hence, the absorbed energy was represented by the ground energy level worked out by Emetere [14] Here m is the magnetic moment. Assume i.e. when the external magnetic field is large; equation (8) can be further developed into equations (10 and 11). This method is usually done in the matrix form, which is not the approach used in this section. The total Hamiltonian can be written as We assume for other tissues of the body, i.e. non- blood vessels because of its negligible elasticity. Applying the Schrödinger, i.e. Hψ = Eψ, equation [12] transforms into ψ Have been calculated by Emetere [14], [25] in a generalised form as To analyse the time-independent domain, where x is the circumference of the base sector of the coil, r is the radial component. Therefore, Substituting equation (14) into equation (13) yields two sets of governing equations The governing equations yield the following solutions Where If a low relaxation of the excited proton is considered, then and Equation (15c) becomes, Equation (15e) is the exact solution of the continuous wave nuclear magnetic resonance (CW NMR) and is expressed in the laboratory frame as This result had been reported by numerous researchers (16, 17), i.e. showing the validity of our approach. Also, if we consider a high relaxation of the excited proton, then equation (15d) yields a new exact solution of the CW NMR i.e. The exact solution of CW NMR in a laboratory frame can also be written as The processes highlighted in equations (16a and 16b) and equations (18 and 19) are driven by the concept discussed in the succeeding section.

Results

The time-independent Schrödinger equation was modelled to open up the proton’s dynamics initiated by the MRI antenna. The time-independent Schrödinger equation is given as The Lagrangian density which shows the functionality between the transmitting and receiving antenna coil (equation [24]) is given as The minimum coupling rule to describe the interaction of ψ with the electromagnetic field was applied to get Where Vo is a constant on the surface of the faraday loop of the MRI antenna, Eo is the field, r is the radius of the antenna, ‘a’ is the radius of the RF circular loop. Here, it is assumed that the shape of the antenna is loop-like. Equation [25] transforms into The circular conductor is accounted for where r = x Applying the solution of the standing wave in equation [4] Where E, B: the lagrangian density takes the form Considering the Lagrangian density of the particle electromagnetic field E-H field of the circular MRI antenna-coil, Where the values of electric and magnetic were adapted from Glenn (18) and restructured into the circular MRI loop antenna Where and Beyond the mere introduction of boundary conditions to expatiate on the dynamics of equations [26-29], its ‘real-time’ applications include reducing computational challenges (when writing the mathematical codes (1)) and micro-analysis of the selection technique. The boundary conditions for equation [26] are The boundary conditions for equation [27] are The boundary conditions for equation [28] are The boundary conditions for equation [29] are where α and γ are the attenuation factors of the electrical fields; σ and θ are the attenuation factors of the magnetic fields; Bθ(z) and Bσ(z) are the magnetic fields at the boundary of the MRI antenna; E and E are the electric fields at the boundary of the MRI antenna; x is the length of MRI antenna; β is the frequency of excited power; j is the radio frequency current; r represents the radius or horizontal component of the antenna; z represents the vertical component of the antenna; m represents the number of the protons; ξ represents the electrical permeability; μ represents the magnetic permeability; e is the spin factor which determines the protons spin along the horizontal component of the MRI; e is the spin factor which determines the protons spin along the vertical component of the MRI transmitting antenna; e is the spin factor which determines the protons spin along the horizontal component within the electric field of the MRI receiving antenna; e is the spin factor which determines the protons spin along the vertical component within the electric field of the MRI transmitting antenna; f is the spin factor which determines the protons spin along the horizontal component within the magnetic field of the MRI receiving antenna; f is the spin factor which determines the protons spin along the horizontal component within the magnetic field of the MRI transmitting antenna; f is the spin factor which determines the protons spin along the vertical component within the magnetic field of the MRI receiving antenna; f is the spin factor which determines the protons spin along the vertical component within the magnetic field of the MRI transmitting antenna. Therefore, the total action of lagrangian density is given by Then the Euler-Lagrange equation associated to the function gives rise to the following systems of equation

Discussion

RF pulses are required to attain transverse magnetisation (equation 16b & 19). This can be initiated via the electromagnetic signatures expressed in equation [37]. We can easily obtain any solution of the transverse magnetisation (when θ=wt; B) via this method Equation [42] is related to the loss path equation stated by Basar et al., (19) where jβr is the loss path, is the cumulative spin precession angle, is the RF pulse sequence, ω is the frequency. Taking the assumption that LPC was stated in equation (42) , then the distance between the transmitting and receiving points are determined, as shown in Figure 7. Hence, the transformed equation (42) can be written as
Figure 7

Angular resolution of the distance between the transmitting and receiving points

Physical model of cumulative spin precession angle linearly dependence of the RF pulse, loss path and cumulative spin precession. A decrease in frequency translates in an increase in the RF pulse Distribution of RF for deep tissue analysis RF pulse attenuation at varying frequencies Angular resolution of the distance between the transmitting and receiving points The cumulative spin precession angle can be determined from the combination of deviated spins along with the same phase (as shown in Figure 3 below). A typical effect of the cumulative spin precession angle of individual protons in the human body Figure 3.
Figure 3

Physical model of cumulative spin precession angle

The MRI machine transmits a different pulse sequence (Figure 2B) when scanning a specific body mass. The pulse sequence through the free space and its losses are dependent on the frequency that was derived in equation [42]. The loss path has the same properties as the RF pulse sequence (i.e. frequency of exciting power) and differs from the usual loss path property that describes the transmitted power [19]. The linear dependence of the RF pulse, loss path and cumulative spin precession was investigated (Figure 4).
Figure 4

linearly dependence of the RF pulse, loss path and cumulative spin precession. A decrease in frequency translates in an increase in the RF pulse

The basis of linearity was initiated by the sudden decrease in the frequency of protons. These protons in the tissues increase the tendency of RF pulse to create imaging impact and vice-versa. The normal distribution of the RF pulse over tissues is represented in Figure 5.
Figure 5

Distribution of RF for deep tissue analysis

Experimentally, the distribution of the RF pulse is not a smooth curve [20], [21]. One of the reasons attributed to this occurrence is the electromagnetic signatures of the MRI antenna. Recall the importance of the electromagnetic signatures had been mathematically illustrated in section three. The electromagnetic signatures are the specific combination of emitted, reflected or absorbed electromagnetic radiation (EM) at varying wavelengths and directions. This concept defines a unique set of combined frequencies, as seen in the loss path. Equation [42] is a typical electromagnetic signature of the MRI antenna. In a narrow view, i.e. at the low quantity of electromagnetic radiation, the system is excited by differential amount of electrical energy. In a practical sense, the electromagnetic radiation in the MRI is moderate. The description of moderate electromagnetic radiation may be relative, i.e. depending on the operational specifics of the MRI machine. Practically, the energy in MRI operations is controlled by the integration of the function of equation [42] to account for the many-body effects shown in Figure 4 and 6 below. Since a safe MRI operation was assumed, the extremes of the equation [42] were not explained in this paper. Practically, the determination of the RF value for deep tissue analysis is equal to the shadow fading for deep tissue implant [22] as shown in Figure (5). The effects of the RF pulse attenuation at varying frequencies were investigated (Figure 6A, B, C, and D). The RF pulse attenuation decreases at higher frequencies. At higher loss path, the RF pulse decreases drastically. The LPC for this mathematical experimentation of the MR process was found to be -56 dB and -20 dB. Further calculation of the LPC value using equation (43) could be extended to 6.7 dB.
Figure 6

RF pulse attenuation at varying frequencies

It is easy to infer from Figure (6 A, B, C, and D), that the electromagnetic signature creates a non-uniform impact on the protons of the body. This phenomenon results in a process called quasi-resonance. In the quasi resonance state, all the protons do not come under the same influence of the radio frequency. This is partly because of the LPC. For easy identification, such protons are referred to as ‘vagabond’ protons. They reside mainly at the molecular boundaries and partially absorb the radio frequencies that in turn obstruct the transverse magnetisation signals. Hence, it was proposed that LPC could be initiated by the potential between molecular boundaries. The non-inclusion of the potential across molecular boundaries in the ab-initio Bloch NMR equations (23-29) conceals the error due to the existence of the ‘vagabond’ proton that resides in some tissues or tumours (Figure 7). The excess ejection of heat (due to the ‘vagabond’ protons at the molecular boundaries) is one of the challenges in MRI. The ‘vagabond’ protons trap excesses energy as shown in equation [42]. Since the principle of conservation of energy must be obeyed, the ‘vagabond’ proton ejects the trapped energy in the form of heat. Some scientists and engineers had suggested that the challenges of MRI signal attenuation could be remedied by introducing the loopless MRI antenna (30) and MRI strip detectors [31], [32]. This idea is very effective to improve the signal-to-noise ratio (SNR) and field-of-view (FOV). The LPC exists in the MR process. This can be seen in the reduction in RF pulse at higher frequencies. The LPC for MR processes was found to be -56 dB and 6.7 dB. The existence of the LPC led to another concept like the existence of the ‘vagabond’ proton. It was reported that the ‘vagabond’ proton supports poor imaging from the MR process. The LPC exposes the danger of improper design of the RF sequence. This fundamental error exposes the patient to a higher frequency that may be abnormal for certain regions of the body. Theoretically, incorporating the molecular boundaries potentials in the ab-initio MRI source code can solve the LPC. Practically, LPC can be resolved by introducing a detachable device like RF strip detector that would synchronise particles across different molecular boundaries and prevent patients from excessive exposure to high RF frequencies.
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