Thermal Equilibrium and Longitudinal Relaxation

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SUMMARY

The discussion focuses on the derivation of the longitudinal magnetization \(M_o\) in the context of Magnetic Resonance Imaging (MRI) using the equation \(M_o \approx \rho_o \frac{s(s+1)\gamma^2\hbar^2}{3kT}B_o\). Participants clarify the evaluation of sums involving the magnetic quantum number \(m_s\) and correct the miscalculation of the denominator in the expression for \(M_o\). The correct evaluation of \(\sum m_s^2\) is established as \(\frac{s(2s+1)(s+1)}{3}\), addressing the initial errors in the calculations presented.

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  • Understanding of Magnetic Resonance Imaging (MRI) principles
  • Familiarity with quantum mechanics, specifically magnetic quantum numbers
  • Knowledge of statistical mechanics, particularly the Boltzmann distribution
  • Proficiency in mathematical summation techniques
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  • Review the derivation of the Boltzmann distribution in quantum systems
  • Study the properties of magnetic quantum numbers in quantum mechanics
  • Learn about the significance of longitudinal magnetization in MRI applications
  • Explore advanced summation techniques for series involving quantum states
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Students and professionals in physics, particularly those specializing in magnetic resonance imaging, quantum mechanics, and statistical mechanics. This discussion is beneficial for anyone looking to deepen their understanding of longitudinal relaxation processes in MRI.

Shinnobii
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Homework Statement



Problem 6.2 from Magnetic Resonance Imaging: Physical Principles and Sequence Design.

Show that [itex]M_o \approx \rho_o \frac{s(s+1)\gamma^2\hbar^2}{3kT}B_o[/itex]

Homework Equations



[itex]M_o = \rho_o \gamma \hbar \frac{\sum m_s e^{m_s(\hbar w_o / kT)}}{\sum e^{m_s(\hbar w_o / kT)}}[/itex],

where [itex]m_s[/itex] is the magnetic quantum number.

The Attempt at a Solution



Use the fact that [itex]kT >> \hbar w_o[/itex],

let [itex]\alpha = \frac{\hbar w_o}{kT}[/itex].

Then [itex]e^{\alpha m_s} \approx 1 + \alpha m_s[/itex].

[itex]M_o = \rho_o \gamma \hbar \frac{\sum m_s(1 + \alpha m_s)}{\sum (1 + \alpha m_s)}[/itex],

but [itex]\sum m_s = 0[/itex], therefore

[itex]M_o = \rho_o \gamma \hbar \frac{\alpha \sum (m_s^2)}{1 + 0}[/itex].

Assuming the above is correct. Am I correct that [itex]\sum m_s^2 = s(2s+1)(s+1)[/itex]?

If so, I get,

[itex]M_o = \frac{\rho_o \gamma^2 \hbar^2 B_o}{kT} s(2s+1)(s+1)[/itex],

since [itex]w_o = \gamma B_o[/itex].

Clearly this is not the correct form, where have I gone wrong?
 
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Shinnobii said:
[itex]M_o = \rho_o \gamma \hbar \frac{\sum m_s(1 + \alpha m_s)}{\sum (1 + \alpha m_s)}[/itex],

but [itex]\sum m_s = 0[/itex], therefore

[itex]M_o = \rho_o \gamma \hbar \frac{\alpha \sum (m_s^2)}{1 + 0}[/itex].
You did not evaluate the sum in the denominator correctly. ##\sum 1 \neq 1##

Am I correct that [itex]\sum m_s^2 = s(2s+1)(s+1)[/itex]?
Almost. You're off by a simple numerical factor. See http://mathschallenge.net/library/number/sum_of_squares
 
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Thanks, rookie mistakes. . .

[itex]\sum 1 = (2s + 1)[/itex], since summing from -s to s.

and I forgot a factor a 3

[itex]\sum m_s^2 = \frac{s(2s+1)(s+1)}{3}[/itex] .

Thanks for pointing those out to me!
 

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