
TL;DR
This paper presents a comprehensive analytical framework for broadband chirp excitation pulses in NMR, enabling large bandwidth excitation without increasing peak RF amplitude, and introduces a sequence of two chirp π pulses to reduce phase dispersion.
Contribution
It provides a complete analytical understanding of chirp excitation methods in NMR, including phase refocusing techniques using two chirp π pulses.
Findings
Chirp excitation can achieve large bandwidths without higher peak RF.
Two chirp π pulses effectively reduce phase dispersion.
Analytical models clarify the working of chirp excitation methods.
Abstract
The paper describes the design of broadband chirp excitation pulses in NMR. We first develop a three stage model for understanding chirp excitation in NMR. We then show how a chirp pulse can be used to refocus the phase of the chirp excitation pulse. The resulting magnetization still has some phase dispersion in it. We show how a combination of two chirp pulses instead of one can be used to eliminate this dispersion, leaving behind a small residual phase dispersion. The excitation pulse sequence presented here allow exciting arbitrary large bandwidths without increasing the peak rf-amplitude. Although methods presented in this paper have appeared elsewhere, we present complete analytical treatment that elucidates the working of these methods.
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Chirp Excitation
Navin Khaneja To whom correspondence may be addressed. Email:[email protected] of Electrical Engineering, IIT Bombay, Powai - 400076, India.
Abstract
The paper describes the design of broadband chirp excitation pulses. We first develop a three stage model for understanding chirp excitation in NMR. We then show how a chirp pulse can be used to refocus the phase of the chirp excitation pulse. The resulting magnetization still has some phase dispersion in it. We show how a combination of two chirp pulses instead of one can be used to eliminate this dispersion, leaving behind a small residual phase dispersion. The excitation pulse sequence presented here allow exciting arbitrary large bandwidths without increasing the peak rf-amplitude. Experimental excitation profiles for the residual HDO signal in a sample of D2O are displayed as a function of resonance offset. Although methods presented in this paper have appeared elsewhere, we present complete analytical treatment that elucidates the working of these methods.
1 Introduction
The excitation pulse is ubiquitous in Fourier Transform-NMR, being the starting point of all experiments. With increasing field strengths in high resolution NMR, sensitivity and resolution comes with the challenge of uniformly exciting larger bandwidths. At a field of 1 GHz, the target bandwidth is kHz for excitation of entire 200 ppm 13C chemical shifts. The required kHz hard pulse exceeds the capabilities of most 13C probes and poses additional problems in phasing the spectra. In 19F NMR, chemical shifts can range over 600 ppm, which requires excitation of different regions of the spectra. Methods that can achieve uniform excitation over the entire bandwidth in 19F NMR, are therefore most desirable. Towards this end, several methods have been developed for broadband excitation/inversion, which have reduced the phase variation of the excited magnetization as a function of the resonance offset. These include composite pulses, adiabatic sequences, polycromatic sequences, phase alternating pulse sequences, optimal control pulse design, and method of multiple frames, [1]-[20].
In this paper, we develop the theory of broadband chirp excitation. We first develop a three stage model for understanding chirp excitation in NMR. We then show how a chirp pulse can be used to refocus the phase of the excitation pulse. The resulting magnetization still has some phase dispersion in it. We show how a combination of two chirp pulses instead of one can be used to eliminate this dispersion leaving behind a small residual phase dispersion. The pulse sequence presented here allow exciting arbitrary large bandwidths without increasing the peak rf-amplitude. Although methods presented in this paper have appeared elsewhere [7, 8, 18], we present complete analytical treatment that elucidates the working of these methods.
The paper is organized as follows. In section 2, we present the theory behind chirp excitation. In section 3, we present simulation and experimental results for broadband excitation pulses designed using chirp pulses. We conclude in section 4, with discussion and outlook.
2 Theory
Let
[TABLE]
denote generator of rotations around axis respectively. A x-rotation by flip angle is .
A chirp excitation pulse is understood as concatenation of three rotations
[TABLE]
which satisfy
[TABLE]
Given the Bloch equation,
[TABLE]
where is the magnetization vector,
The chirp pulse has instantaneous frequency where is the sweep rate and phase . The frequency is swept from , in time with offsets in range .
In the interaction frame of the chirp phase, , we have , evolve as
[TABLE]
where effective field strength and .
The three stages of the chirp excitation are understood in this frame.
The first rotation, , arises as frequency of the chirp pulse is swept from a large negative offset to . As a result, the initial magnetization follows the effective field and is transferred to
[TABLE]
During the phase of the pulse the frequency is swept over the range in time and for not very larger than 1, we can approximate the evolution in this phase II as
[TABLE]
This produces the evolution
[TABLE]
Finally, during phase , the frequency is swept from to a large positive offset in time . This produces the transformation
[TABLE]
To see this, observe, given
[TABLE]
in the interaction frame of where , we have,
[TABLE]
If , which is true in phase III of the pulse, where , as will be shown below. Then in the interaction frame of , we average to . Therefore the evolution of the Bloch equation for the chirp pulse takes the form
[TABLE]
[TABLE]
where [math] marks beginning of phase III and , and . See Fig. 1 left panel. Then this gives Eq. (1).
Now for this to be an excitation, the coordinate should vanish, which means,
[TABLE]
For example, when , we have , i.e, . Thus phase is traversed in time . The frequency swept in this time is . The sweep rate is . The smallest effective field in phase and is in phase and . Therefore, in phase and , we have and adiabatic approximation is valid. In nutshell sweep rate .
For another example, when , we have , i.e, . Thus phase is traversed in time . The frequency swept in this time is . The sweep rate is . The smallest effective field in phase and is in phase and . Therefore, in phase and , we have and adiabatic approximation is valid.
In remaining paper we take . The chirp excitation doesn’t produce a uniform excitation phase for all offsets.
To understand this refer to Figure 2, where offsets very from and we sweep from at rate . It takes units of time to sweep from to and units of time to sweep from to . Let be total time. It takes units of time to sweep from to . Then the phase accumulated in Eq. 1 for the offset is and for offset is . The difference of the phases is
[TABLE]
We can refocus this phase by following the chirp excitation pulse with a chirp pulse at twice the sweep rate and rf-field strength . To understand this, consider again the Bloch equation
[TABLE]
where the chirp frequency is swept from .
In the interaction field of the chirp phase, , we have , and
[TABLE]
where effective field strength and .
Now in interaction frame of where , we have
[TABLE]
If , which is true when rf-field strength , in the interaction frame of , we average to . Therefore the evolution of the Bloch equation for the chirp pulse takes the form
[TABLE]
where and and and now we can again evaluate . Observe
[TABLE]
Now if we combine the phase due to chirp excitation excitation pulse and the chirp pulse we get
[TABLE]
If chirp pulse is followed by free evolution for where , it refocuses the phase . See Fig. 3A. The only phase dispersion that is left is
[TABLE]
For , the other extreme of the spectrum, the above expression simplifies to
[TABLE]
As described before for and when say , this dispersion is small around .
The factor in Eq. (8) can be cancelled by introducing a pulse of amplitude , and sweep rate , following chirp pulse and then a delay of , and finally the pulse of amplitude and sweep rate . See Fig. 3B. Then all phase dispersion cancel except the one in Eq. (9). We can make this dispersion small by .
3 Simulation and Experiments
In Fig. 3A, we choose amplitude of pulse as kHz and pulse as kHz. The bandwidth kHz and kHz. Sweep rate and time ms. Total duration of the pulse is ms. Fig. 4A, shows the x-coordinate of the excited magnetization, after a zero order phase correction.
In Fig. 3B, we choose amplitude of last pulse as kHz, center pulse as kHz and pulse as kHz. The bandwidth kHz and kHz. Sweep rate and time ms. Total duration of the pulse is ms. Fig. 4B, shows the x-coordinate of the excited magnetization, after a zero order phase correction.
Finally, in Fig. 5A, we taper the edges of chirp pulse so that we don’t have to sweep very far. We choose peak Amplitude of last pulse as kHz, center pulse as kHz and pulse as kHz. The Bandwidth kHz and kHz. Sweep rate and time ms. Total duration of the pulse sequence is ms. Fig. 5B, shows the x-coordinate of the excited magnetization, after a zero order phase correction.
Experimental realization of this pulse sequence is done on a 750 MHz spectrometer. Fig. 6 shows experimental excitation profiles of residual HDO signal in a sample of D2O, as a function of resonance offset, after application of the pulse sequence in Fig. 5A. The offset is varied in increments of 6 kHz, over a range of 300 kHz ([ -150, 150] kHz) around the proton resonance at 4.7 ppm. The peak amplitude of the pulse is 15 kHz. We find uniform excitation experimentally.
This pulse sequence appears as CHORUS in [18]. Here we provide details of the working of this sequence.
4 Conclusion
In this paper we developed the theory of broadband chirp excitation pulses. We first developed a three stage model for understanding chirp excitation in NMR. We then showed how a chirp pulse can be used to refocus the phase of the chirp excitation pulse. The resulting magnetization still had some phase dispersion in it. We then showed how a combination of two chirp pulses instead of one can be used to eliminate this dispersion, leaving behind a small residual phase dispersion. The excitation pulse sequence presented here allow exciting arbitrary large bandwidths without increasing the peak rf-amplitude. They are expected to find immediate application in 19F NMR. Although methods presented in this paper have appeared elsewhere [7, 8, 18], we present complete analytical treatment that elucidates the working of these methods. Future work in direction is to use these methods to develop general purpose rotation pulses, like a broadband rotation.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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